erishabh/hf-tmp-c1-repos · Datasets at Hugging Face

0

capitalone_repos/rubicon-ml/docs

capitalone_repos/rubicon-ml/docs/source/visualizations.rst

.. _visualizations: Visualizations ************** ``rubicon_ml.viz`` contains a number of visualization widgets powered by `Dash <https://dash.plotly.com>`_ and `Plotly <https://plotly.com/>`_. Each widget provides a unique UI for exploring and visualizing projects and experiments stored locally or in S3. The widgets can be compiled into an interactive dashboard. They can also run in the browser or any iPython environment like Jupyter Notebook, JupyterLab or JupyterHub. With some extra work, they could be deployed to a static URL using Docker. | .. figure:: _static/images/dashboard.png :align: center :alt: rubicon-ml dashboard A **Dashboard** composed of an **Experiments Table** and a **Metric Correlation Plot**. Available Widgets ================= .. toctree:: :maxdepth: 1 visualizations/dataframe-plot visualizations/experiments-table visualizations/metric-correlation-plot visualizations/metric-lists-comparisons Dashboarding ============ The widgets detailed in the examples above can also be compiled into an interactive dashboard. .. toctree:: :maxdepth: 1 visualizations/dashboard Basic Usage =========== Each individual widget can be launched directly from Python code. Widgets will be hosted locally. You can navigate to the provided link in each widgets' output, or visualize the widget in-line if you are running from a Jupyter environment. .. code-block:: python from rubicon_ml.viz import ExperimentsTable ExperimentsTable(experiments=my_rubicon_project.experiments()).serve() The above launches the experiments table on ``localhost:8050`` and will run from any Python interpreter. If you're working in a Jupyter environment, you can launch the dashboard inline in a notebook with ``show``: .. code-block:: python ExperimentsTable(experiments=my_rubicon_project.experiments()).show() If you need to configure the Dash proxy, that can also be done with a few extra parameters: .. code-block:: python dash_kwargs = { "requests_pathname_prefix": "/proxy/8050", } run_server_kwargs = { "proxy": "http://127.0.0.1:8050::https://my-jupyterhub-server.com/", } ExperimentsTable(experiments=my_rubicon_project.experiments()).serve( dash_kwargs=dash_options, run_server_kwargs=run_server_kwargs, ) More info on configuring proxies and additional ``dash_kwargs`` can be found in the `Dash API Reference <https://dash.plotly.com/reference>`_. CLI === The ``rubicon_ml`` CLI can lauch a dashboard containing an **Experiments Table** stacked on top of a **Metric Correlation Plot**, as shown in the figure above. .. code-block:: shell rubicon_ml ui --root-dir /rubicon-root --project-name "My Cool Project" Use the ``--help`` flag for full usage details: .. code-block:: shell rubicon_ml ui --help

0

capitalone_repos/rubicon-ml/docs/source

capitalone_repos/rubicon-ml/docs/source/_static/custom.css

/* the ipython3 code blocks and dataframes coming from the notebooks were not getting the dark theme styles applied, so manually overriding them */ @media (prefers-color-scheme: dark) { .dataframe { color: white !important; } .highlight-ipython3 { background: #202020 !important; border: none !important; border-radius: 2px !important; color: #d0d0d0 !important; } tr:nth-child(odd) { background-color: #202020 !important; } } .hidden { display: none; } .sidebar-brand { margin-top: 1rem; } .version { text-align: center; }

0

capitalone_repos/rubicon-ml/docs/source

capitalone_repos/rubicon-ml/docs/source/_static/underscore.js

// Underscore.js 1.13.1 // https://underscorejs.org // (c) 2009-2021 Jeremy Ashkenas, Julian Gonggrijp, and DocumentCloud and Investigative Reporters & Editors // Underscore may be freely distributed under the MIT license. var VERSION="1.13.1",root="object"==typeof self&&self.self===self&&self||"object"==typeof global&&global.global===global&&global||Function("return this")()||{},ArrayProto=Array.prototype,ObjProto=Object.prototype,SymbolProto="undefined"!=typeof Symbol?Symbol.prototype:null,push=ArrayProto.push,slice=ArrayProto.slice,toString=ObjProto.toString,hasOwnProperty=ObjProto.hasOwnProperty,supportsArrayBuffer="undefined"!=typeof ArrayBuffer,supportsDataView="undefined"!=typeof DataView,nativeIsArray=Array.isArray,nativeKeys=Object.keys,nativeCreate=Object.create,nativeIsView=supportsArrayBuffer&&ArrayBuffer.isView,_isNaN=isNaN,_isFinite=isFinite,hasEnumBug=!{toString:null}.propertyIsEnumerable("toString"),nonEnumerableProps=["valueOf","isPrototypeOf","toString","propertyIsEnumerable","hasOwnProperty","toLocaleString"],MAX_ARRAY_INDEX=Math.pow(2,53)-1;function restArguments(e,t){return t=null==t?e.length-1:+t,function(){for(var n=Math.max(arguments.length-t,0),r=Array(n),i=0;i<n;i++)r[i]=arguments[i+t];switch(t){case 0:return e.call(this,r);case 1:return e.call(this,arguments[0],r);case 2:return e.call(this,arguments[0],arguments[1],r)}var a=Array(t+1);for(i=0;i<t;i++)a[i]=arguments[i];return a[t]=r,e.apply(this,a)}}function isObject(e){var t=typeof e;return"function"===t||"object"===t&&!!e}function isNull(e){return null===e}function isUndefined(e){return void 0===e}function isBoolean(e){return!0===e||!1===e||"[object Boolean]"===toString.call(e)}function isElement(e){return!(!e||1!==e.nodeType)}function tagTester(e){var t="[object "+e+"]";return function(e){return toString.call(e)===t}}var isString=tagTester("String"),isNumber=tagTester("Number"),isDate=tagTester("Date"),isRegExp=tagTester("RegExp"),isError=tagTester("Error"),isSymbol=tagTester("Symbol"),isArrayBuffer=tagTester("ArrayBuffer"),isFunction=tagTester("Function"),nodelist=root.document&&root.document.childNodes;"function"!=typeof/./&&"object"!=typeof Int8Array&&"function"!=typeof nodelist&&(isFunction=function(e){return"function"==typeof e||!1});var isFunction$1=isFunction,hasObjectTag=tagTester("Object"),hasStringTagBug=supportsDataView&&hasObjectTag(new DataView(new ArrayBuffer(8))),isIE11="undefined"!=typeof Map&&hasObjectTag(new Map),isDataView=tagTester("DataView");function ie10IsDataView(e){return null!=e&&isFunction$1(e.getInt8)&&isArrayBuffer(e.buffer)}var isDataView$1=hasStringTagBug?ie10IsDataView:isDataView,isArray=nativeIsArray||tagTester("Array");function has$1(e,t){return null!=e&&hasOwnProperty.call(e,t)}var isArguments=tagTester("Arguments");!function(){isArguments(arguments)||(isArguments=function(e){return has$1(e,"callee")})}();var isArguments$1=isArguments;function isFinite$1(e){return!isSymbol(e)&&_isFinite(e)&&!isNaN(parseFloat(e))}function isNaN$1(e){return isNumber(e)&&_isNaN(e)}function constant(e){return function(){return e}}function createSizePropertyCheck(e){return function(t){var n=e(t);return"number"==typeof n&&n>=0&&n<=MAX_ARRAY_INDEX}}function shallowProperty(e){return function(t){return null==t?void 0:t[e]}}var getByteLength=shallowProperty("byteLength"),isBufferLike=createSizePropertyCheck(getByteLength),typedArrayPattern=/\[object ((I|Ui)nt(8|16|32)|Float(32|64)|Uint8Clamped|Big(I|Ui)nt64)Array\]/;function isTypedArray(e){return nativeIsView?nativeIsView(e)&&!isDataView$1(e):isBufferLike(e)&&typedArrayPattern.test(toString.call(e))}var isTypedArray$1=supportsArrayBuffer?isTypedArray:constant(!1),getLength=shallowProperty("length");function emulatedSet(e){for(var t={},n=e.length,r=0;r<n;++r)t[e[r]]=!0;return{contains:function(e){return t[e]},push:function(n){return t[n]=!0,e.push(n)}}}function collectNonEnumProps(e,t){t=emulatedSet(t);var n=nonEnumerableProps.length,r=e.constructor,i=isFunction$1(r)&&r.prototype||ObjProto,a="constructor";for(has$1(e,a)&&!t.contains(a)&&t.push(a);n--;)(a=nonEnumerableProps[n])in e&&e[a]!==i[a]&&!t.contains(a)&&t.push(a)}function keys(e){if(!isObject(e))return[];if(nativeKeys)return nativeKeys(e);var t=[];for(var n in e)has$1(e,n)&&t.push(n);return hasEnumBug&&collectNonEnumProps(e,t),t}function isEmpty(e){if(null==e)return!0;var t=getLength(e);return"number"==typeof t&&(isArray(e)||isString(e)||isArguments$1(e))?0===t:0===getLength(keys(e))}function isMatch(e,t){var n=keys(t),r=n.length;if(null==e)return!r;for(var i=Object(e),a=0;a<r;a++){var u=n[a];if(t[u]!==i[u]||!(u in i))return!1}return!0}function _$1(e){return e instanceof _$1?e:this instanceof _$1?void(this._wrapped=e):new _$1(e)}function toBufferView(e){return new Uint8Array(e.buffer||e,e.byteOffset||0,getByteLength(e))}_$1.VERSION=VERSION,_$1.prototype.value=function(){return this._wrapped},_$1.prototype.valueOf=_$1.prototype.toJSON=_$1.prototype.value,_$1.prototype.toString=function(){return String(this._wrapped)};var tagDataView="[object DataView]";function eq(e,t,n,r){if(e===t)return 0!==e||1/e==1/t;if(null==e||null==t)return!1;if(e!=e)return t!=t;var i=typeof e;return("function"===i||"object"===i||"object"==typeof t)&&deepEq(e,t,n,r)}function deepEq(e,t,n,r){e instanceof _$1&&(e=e._wrapped),t instanceof _$1&&(t=t._wrapped);var i=toString.call(e);if(i!==toString.call(t))return!1;if(hasStringTagBug&&"[object Object]"==i&&isDataView$1(e)){if(!isDataView$1(t))return!1;i=tagDataView}switch(i){case"[object RegExp]":case"[object String]":return""+e==""+t;case"[object Number]":return+e!=+e?+t!=+t:0==+e?1/+e==1/t:+e==+t;case"[object Date]":case"[object Boolean]":return+e==+t;case"[object Symbol]":return SymbolProto.valueOf.call(e)===SymbolProto.valueOf.call(t);case"[object ArrayBuffer]":case tagDataView:return deepEq(toBufferView(e),toBufferView(t),n,r)}var a="[object Array]"===i;if(!a&&isTypedArray$1(e)){if(getByteLength(e)!==getByteLength(t))return!1;if(e.buffer===t.buffer&&e.byteOffset===t.byteOffset)return!0;a=!0}if(!a){if("object"!=typeof e||"object"!=typeof t)return!1;var u=e.constructor,o=t.constructor;if(u!==o&&!(isFunction$1(u)&&u instanceof u&&isFunction$1(o)&&o instanceof o)&&"constructor"in e&&"constructor"in t)return!1}r=r||[];for(var s=(n=n||[]).length;s--;)if(n[s]===e)return r[s]===t;if(n.push(e),r.push(t),a){if((s=e.length)!==t.length)return!1;for(;s--;)if(!eq(e[s],t[s],n,r))return!1}else{var c,f=keys(e);if(s=f.length,keys(t).length!==s)return!1;for(;s--;)if(!has$1(t,c=f[s])||!eq(e[c],t[c],n,r))return!1}return n.pop(),r.pop(),!0}function isEqual(e,t){return eq(e,t)}function allKeys(e){if(!isObject(e))return[];var t=[];for(var n in e)t.push(n);return hasEnumBug&&collectNonEnumProps(e,t),t}function ie11fingerprint(e){var t=getLength(e);return function(n){if(null==n)return!1;var r=allKeys(n);if(getLength(r))return!1;for(var i=0;i<t;i++)if(!isFunction$1(n[e[i]]))return!1;return e!==weakMapMethods||!isFunction$1(n[forEachName])}}var forEachName="forEach",hasName="has",commonInit=["clear","delete"],mapTail=["get",hasName,"set"],mapMethods=commonInit.concat(forEachName,mapTail),weakMapMethods=commonInit.concat(mapTail),setMethods=["add"].concat(commonInit,forEachName,hasName),isMap=isIE11?ie11fingerprint(mapMethods):tagTester("Map"),isWeakMap=isIE11?ie11fingerprint(weakMapMethods):tagTester("WeakMap"),isSet=isIE11?ie11fingerprint(setMethods):tagTester("Set"),isWeakSet=tagTester("WeakSet");function values(e){for(var t=keys(e),n=t.length,r=Array(n),i=0;i<n;i++)r[i]=e[t[i]];return r}function pairs(e){for(var t=keys(e),n=t.length,r=Array(n),i=0;i<n;i++)r[i]=[t[i],e[t[i]]];return r}function invert(e){for(var t={},n=keys(e),r=0,i=n.length;r<i;r++)t[e[n[r]]]=n[r];return t}function functions(e){var t=[];for(var n in e)isFunction$1(e[n])&&t.push(n);return t.sort()}function createAssigner(e,t){return function(n){var r=arguments.length;if(t&&(n=Object(n)),r<2||null==n)return n;for(var i=1;i<r;i++)for(var a=arguments[i],u=e(a),o=u.length,s=0;s<o;s++){var c=u[s];t&&void 0!==n[c]||(n[c]=a[c])}return n}}var extend=createAssigner(allKeys),extendOwn=createAssigner(keys),defaults=createAssigner(allKeys,!0);function ctor(){return function(){}}function baseCreate(e){if(!isObject(e))return{};if(nativeCreate)return nativeCreate(e);var t=ctor();t.prototype=e;var n=new t;return t.prototype=null,n}function create(e,t){var n=baseCreate(e);return t&&extendOwn(n,t),n}function clone(e){return isObject(e)?isArray(e)?e.slice():extend({},e):e}function tap(e,t){return t(e),e}function toPath$1(e){return isArray(e)?e:[e]}function toPath(e){return _$1.toPath(e)}function deepGet(e,t){for(var n=t.length,r=0;r<n;r++){if(null==e)return;e=e[t[r]]}return n?e:void 0}function get(e,t,n){var r=deepGet(e,toPath(t));return isUndefined(r)?n:r}function has(e,t){for(var n=(t=toPath(t)).length,r=0;r<n;r++){var i=t[r];if(!has$1(e,i))return!1;e=e[i]}return!!n}function identity(e){return e}function matcher(e){return e=extendOwn({},e),function(t){return isMatch(t,e)}}function property(e){return e=toPath(e),function(t){return deepGet(t,e)}}function optimizeCb(e,t,n){if(void 0===t)return e;switch(null==n?3:n){case 1:return function(n){return e.call(t,n)};case 3:return function(n,r,i){return e.call(t,n,r,i)};case 4:return function(n,r,i,a){return e.call(t,n,r,i,a)}}return function(){return e.apply(t,arguments)}}function baseIteratee(e,t,n){return null==e?identity:isFunction$1(e)?optimizeCb(e,t,n):isObject(e)&&!isArray(e)?matcher(e):property(e)}function iteratee(e,t){return baseIteratee(e,t,1/0)}function cb(e,t,n){return _$1.iteratee!==iteratee?_$1.iteratee(e,t):baseIteratee(e,t,n)}function mapObject(e,t,n){t=cb(t,n);for(var r=keys(e),i=r.length,a={},u=0;u<i;u++){var o=r[u];a[o]=t(e[o],o,e)}return a}function noop(){}function propertyOf(e){return null==e?noop:function(t){return get(e,t)}}function times(e,t,n){var r=Array(Math.max(0,e));t=optimizeCb(t,n,1);for(var i=0;i<e;i++)r[i]=t(i);return r}function random(e,t){return null==t&&(t=e,e=0),e+Math.floor(Math.random()*(t-e+1))}_$1.toPath=toPath$1,_$1.iteratee=iteratee;var now=Date.now||function(){return(new Date).getTime()};function createEscaper(e){var t=function(t){return e[t]},n="(?:"+keys(e).join("|")+")",r=RegExp(n),i=RegExp(n,"g");return function(e){return e=null==e?"":""+e,r.test(e)?e.replace(i,t):e}}var escapeMap={"&":"&","<":"<",">":">",'"':""","'":"'","`":"`"},_escape=createEscaper(escapeMap),unescapeMap=invert(escapeMap),_unescape=createEscaper(unescapeMap),templateSettings=_$1.templateSettings={evaluate:/<%([\s\S]+?)%>/g,interpolate:/<%=([\s\S]+?)%>/g,escape:/<%-([\s\S]+?)%>/g},noMatch=/(.)^/,escapes={"'":"'","\\":"\\","\r":"r","\n":"n","\u2028":"u2028","\u2029":"u2029"},escapeRegExp=/\\|'|\r|\n|\u2028|\u2029/g;function escapeChar(e){return"\\"+escapes[e]}var bareIdentifier=/^\s*(\w|\$)+\s*$/;function template(e,t,n){!t&&n&&(t=n),t=defaults({},t,_$1.templateSettings);var r=RegExp([(t.escape||noMatch).source,(t.interpolate||noMatch).source,(t.evaluate||noMatch).source].join("|")+"|$","g"),i=0,a="__p+='";e.replace(r,(function(t,n,r,u,o){return a+=e.slice(i,o).replace(escapeRegExp,escapeChar),i=o+t.length,n?a+="'+\n((__t=("+n+"))==null?'':_.escape(__t))+\n'":r?a+="'+\n((__t=("+r+"))==null?'':__t)+\n'":u&&(a+="';\n"+u+"\n__p+='"),t})),a+="';\n";var u,o=t.variable;if(o){if(!bareIdentifier.test(o))throw new Error("variable is not a bare identifier: "+o)}else a="with(obj||{}){\n"+a+"}\n",o="obj";a="var __t,__p='',__j=Array.prototype.join,"+"print=function(){__p+=__j.call(arguments,'');};\n"+a+"return __p;\n";try{u=new Function(o,"_",a)}catch(e){throw e.source=a,e}var s=function(e){return u.call(this,e,_$1)};return s.source="function("+o+"){\n"+a+"}",s}function result(e,t,n){var r=(t=toPath(t)).length;if(!r)return isFunction$1(n)?n.call(e):n;for(var i=0;i<r;i++){var a=null==e?void 0:e[t[i]];void 0===a&&(a=n,i=r),e=isFunction$1(a)?a.call(e):a}return e}var idCounter=0;function uniqueId(e){var t=++idCounter+"";return e?e+t:t}function chain(e){var t=_$1(e);return t._chain=!0,t}function executeBound(e,t,n,r,i){if(!(r instanceof t))return e.apply(n,i);var a=baseCreate(e.prototype),u=e.apply(a,i);return isObject(u)?u:a}var partial=restArguments((function(e,t){var n=partial.placeholder,r=function(){for(var i=0,a=t.length,u=Array(a),o=0;o<a;o++)u[o]=t[o]===n?arguments[i++]:t[o];for(;i<arguments.length;)u.push(arguments[i++]);return executeBound(e,r,this,this,u)};return r}));partial.placeholder=_$1;var bind=restArguments((function(e,t,n){if(!isFunction$1(e))throw new TypeError("Bind must be called on a function");var r=restArguments((function(i){return executeBound(e,r,t,this,n.concat(i))}));return r})),isArrayLike=createSizePropertyCheck(getLength);function flatten$1(e,t,n,r){if(r=r||[],t||0===t){if(t<=0)return r.concat(e)}else t=1/0;for(var i=r.length,a=0,u=getLength(e);a<u;a++){var o=e[a];if(isArrayLike(o)&&(isArray(o)||isArguments$1(o)))if(t>1)flatten$1(o,t-1,n,r),i=r.length;else for(var s=0,c=o.length;s<c;)r[i++]=o[s++];else n||(r[i++]=o)}return r}var bindAll=restArguments((function(e,t){var n=(t=flatten$1(t,!1,!1)).length;if(n<1)throw new Error("bindAll must be passed function names");for(;n--;){var r=t[n];e[r]=bind(e[r],e)}return e}));function memoize(e,t){var n=function(r){var i=n.cache,a=""+(t?t.apply(this,arguments):r);return has$1(i,a)||(i[a]=e.apply(this,arguments)),i[a]};return n.cache={},n}var delay=restArguments((function(e,t,n){return setTimeout((function(){return e.apply(null,n)}),t)})),defer=partial(delay,_$1,1);function throttle(e,t,n){var r,i,a,u,o=0;n||(n={});var s=function(){o=!1===n.leading?0:now(),r=null,u=e.apply(i,a),r||(i=a=null)},c=function(){var c=now();o||!1!==n.leading||(o=c);var f=t-(c-o);return i=this,a=arguments,f<=0||f>t?(r&&(clearTimeout(r),r=null),o=c,u=e.apply(i,a),r||(i=a=null)):r||!1===n.trailing||(r=setTimeout(s,f)),u};return c.cancel=function(){clearTimeout(r),o=0,r=i=a=null},c}function debounce(e,t,n){var r,i,a,u,o,s=function(){var c=now()-i;t>c?r=setTimeout(s,t-c):(r=null,n||(u=e.apply(o,a)),r||(a=o=null))},c=restArguments((function(c){return o=this,a=c,i=now(),r||(r=setTimeout(s,t),n&&(u=e.apply(o,a))),u}));return c.cancel=function(){clearTimeout(r),r=a=o=null},c}function wrap(e,t){return partial(t,e)}function negate(e){return function(){return!e.apply(this,arguments)}}function compose(){var e=arguments,t=e.length-1;return function(){for(var n=t,r=e[t].apply(this,arguments);n--;)r=e[n].call(this,r);return r}}function after(e,t){return function(){if(--e<1)return t.apply(this,arguments)}}function before(e,t){var n;return function(){return--e>0&&(n=t.apply(this,arguments)),e<=1&&(t=null),n}}var once=partial(before,2);function findKey(e,t,n){t=cb(t,n);for(var r,i=keys(e),a=0,u=i.length;a<u;a++)if(t(e[r=i[a]],r,e))return r}function createPredicateIndexFinder(e){return function(t,n,r){n=cb(n,r);for(var i=getLength(t),a=e>0?0:i-1;a>=0&&a<i;a+=e)if(n(t[a],a,t))return a;return-1}}var findIndex=createPredicateIndexFinder(1),findLastIndex=createPredicateIndexFinder(-1);function sortedIndex(e,t,n,r){for(var i=(n=cb(n,r,1))(t),a=0,u=getLength(e);a<u;){var o=Math.floor((a+u)/2);n(e[o])<i?a=o+1:u=o}return a}function createIndexFinder(e,t,n){return function(r,i,a){var u=0,o=getLength(r);if("number"==typeof a)e>0?u=a>=0?a:Math.max(a+o,u):o=a>=0?Math.min(a+1,o):a+o+1;else if(n&&a&&o)return r[a=n(r,i)]===i?a:-1;if(i!=i)return(a=t(slice.call(r,u,o),isNaN$1))>=0?a+u:-1;for(a=e>0?u:o-1;a>=0&&a<o;a+=e)if(r[a]===i)return a;return-1}}var indexOf=createIndexFinder(1,findIndex,sortedIndex),lastIndexOf=createIndexFinder(-1,findLastIndex);function find(e,t,n){var r=(isArrayLike(e)?findIndex:findKey)(e,t,n);if(void 0!==r&&-1!==r)return e[r]}function findWhere(e,t){return find(e,matcher(t))}function each(e,t,n){var r,i;if(t=optimizeCb(t,n),isArrayLike(e))for(r=0,i=e.length;r<i;r++)t(e[r],r,e);else{var a=keys(e);for(r=0,i=a.length;r<i;r++)t(e[a[r]],a[r],e)}return e}function map(e,t,n){t=cb(t,n);for(var r=!isArrayLike(e)&&keys(e),i=(r||e).length,a=Array(i),u=0;u<i;u++){var o=r?r[u]:u;a[u]=t(e[o],o,e)}return a}function createReduce(e){var t=function(t,n,r,i){var a=!isArrayLike(t)&&keys(t),u=(a||t).length,o=e>0?0:u-1;for(i||(r=t[a?a[o]:o],o+=e);o>=0&&o<u;o+=e){var s=a?a[o]:o;r=n(r,t[s],s,t)}return r};return function(e,n,r,i){var a=arguments.length>=3;return t(e,optimizeCb(n,i,4),r,a)}}var reduce=createReduce(1),reduceRight=createReduce(-1);function filter(e,t,n){var r=[];return t=cb(t,n),each(e,(function(e,n,i){t(e,n,i)&&r.push(e)})),r}function reject(e,t,n){return filter(e,negate(cb(t)),n)}function every(e,t,n){t=cb(t,n);for(var r=!isArrayLike(e)&&keys(e),i=(r||e).length,a=0;a<i;a++){var u=r?r[a]:a;if(!t(e[u],u,e))return!1}return!0}function some(e,t,n){t=cb(t,n);for(var r=!isArrayLike(e)&&keys(e),i=(r||e).length,a=0;a<i;a++){var u=r?r[a]:a;if(t(e[u],u,e))return!0}return!1}function contains(e,t,n,r){return isArrayLike(e)||(e=values(e)),("number"!=typeof n||r)&&(n=0),indexOf(e,t,n)>=0}var invoke=restArguments((function(e,t,n){var r,i;return isFunction$1(t)?i=t:(t=toPath(t),r=t.slice(0,-1),t=t[t.length-1]),map(e,(function(e){var a=i;if(!a){if(r&&r.length&&(e=deepGet(e,r)),null==e)return;a=e[t]}return null==a?a:a.apply(e,n)}))}));function pluck(e,t){return map(e,property(t))}function where(e,t){return filter(e,matcher(t))}function max(e,t,n){var r,i,a=-1/0,u=-1/0;if(null==t||"number"==typeof t&&"object"!=typeof e[0]&&null!=e)for(var o=0,s=(e=isArrayLike(e)?e:values(e)).length;o<s;o++)null!=(r=e[o])&&r>a&&(a=r);else t=cb(t,n),each(e,(function(e,n,r){((i=t(e,n,r))>u||i===-1/0&&a===-1/0)&&(a=e,u=i)}));return a}function min(e,t,n){var r,i,a=1/0,u=1/0;if(null==t||"number"==typeof t&&"object"!=typeof e[0]&&null!=e)for(var o=0,s=(e=isArrayLike(e)?e:values(e)).length;o<s;o++)null!=(r=e[o])&&r<a&&(a=r);else t=cb(t,n),each(e,(function(e,n,r){((i=t(e,n,r))<u||i===1/0&&a===1/0)&&(a=e,u=i)}));return a}function sample(e,t,n){if(null==t||n)return isArrayLike(e)||(e=values(e)),e[random(e.length-1)];var r=isArrayLike(e)?clone(e):values(e),i=getLength(r);t=Math.max(Math.min(t,i),0);for(var a=i-1,u=0;u<t;u++){var o=random(u,a),s=r[u];r[u]=r[o],r[o]=s}return r.slice(0,t)}function shuffle(e){return sample(e,1/0)}function sortBy(e,t,n){var r=0;return t=cb(t,n),pluck(map(e,(function(e,n,i){return{value:e,index:r++,criteria:t(e,n,i)}})).sort((function(e,t){var n=e.criteria,r=t.criteria;if(n!==r){if(n>r||void 0===n)return 1;if(n<r||void 0===r)return-1}return e.index-t.index})),"value")}function group(e,t){return function(n,r,i){var a=t?[[],[]]:{};return r=cb(r,i),each(n,(function(t,i){var u=r(t,i,n);e(a,t,u)})),a}}var groupBy=group((function(e,t,n){has$1(e,n)?e[n].push(t):e[n]=[t]})),indexBy=group((function(e,t,n){e[n]=t})),countBy=group((function(e,t,n){has$1(e,n)?e[n]++:e[n]=1})),partition=group((function(e,t,n){e[n?0:1].push(t)}),!0),reStrSymbol=/[^\ud800-\udfff]|[\ud800-\udbff][\udc00-\udfff]|[\ud800-\udfff]/g;function toArray(e){return e?isArray(e)?slice.call(e):isString(e)?e.match(reStrSymbol):isArrayLike(e)?map(e,identity):values(e):[]}function size(e){return null==e?0:isArrayLike(e)?e.length:keys(e).length}function keyInObj(e,t,n){return t in n}var pick=restArguments((function(e,t){var n={},r=t[0];if(null==e)return n;isFunction$1(r)?(t.length>1&&(r=optimizeCb(r,t[1])),t=allKeys(e)):(r=keyInObj,t=flatten$1(t,!1,!1),e=Object(e));for(var i=0,a=t.length;i<a;i++){var u=t[i],o=e[u];r(o,u,e)&&(n[u]=o)}return n})),omit=restArguments((function(e,t){var n,r=t[0];return isFunction$1(r)?(r=negate(r),t.length>1&&(n=t[1])):(t=map(flatten$1(t,!1,!1),String),r=function(e,n){return!contains(t,n)}),pick(e,r,n)}));function initial(e,t,n){return slice.call(e,0,Math.max(0,e.length-(null==t||n?1:t)))}function first(e,t,n){return null==e||e.length<1?null==t||n?void 0:[]:null==t||n?e[0]:initial(e,e.length-t)}function rest(e,t,n){return slice.call(e,null==t||n?1:t)}function last(e,t,n){return null==e||e.length<1?null==t||n?void 0:[]:null==t||n?e[e.length-1]:rest(e,Math.max(0,e.length-t))}function compact(e){return filter(e,Boolean)}function flatten(e,t){return flatten$1(e,t,!1)}var difference=restArguments((function(e,t){return t=flatten$1(t,!0,!0),filter(e,(function(e){return!contains(t,e)}))})),without=restArguments((function(e,t){return difference(e,t)}));function uniq(e,t,n,r){isBoolean(t)||(r=n,n=t,t=!1),null!=n&&(n=cb(n,r));for(var i=[],a=[],u=0,o=getLength(e);u<o;u++){var s=e[u],c=n?n(s,u,e):s;t&&!n?(u&&a===c||i.push(s),a=c):n?contains(a,c)||(a.push(c),i.push(s)):contains(i,s)||i.push(s)}return i}var union=restArguments((function(e){return uniq(flatten$1(e,!0,!0))}));function intersection(e){for(var t=[],n=arguments.length,r=0,i=getLength(e);r<i;r++){var a=e[r];if(!contains(t,a)){var u;for(u=1;u<n&&contains(arguments[u],a);u++);u===n&&t.push(a)}}return t}function unzip(e){for(var t=e&&max(e,getLength).length||0,n=Array(t),r=0;r<t;r++)n[r]=pluck(e,r);return n}var zip=restArguments(unzip);function object(e,t){for(var n={},r=0,i=getLength(e);r<i;r++)t?n[e[r]]=t[r]:n[e[r][0]]=e[r][1];return n}function range(e,t,n){null==t&&(t=e||0,e=0),n||(n=t<e?-1:1);for(var r=Math.max(Math.ceil((t-e)/n),0),i=Array(r),a=0;a<r;a++,e+=n)i[a]=e;return i}function chunk(e,t){if(null==t||t<1)return[];for(var n=[],r=0,i=e.length;r<i;)n.push(slice.call(e,r,r+=t));return n}function chainResult(e,t){return e._chain?_$1(t).chain():t}function mixin(e){return each(functions(e),(function(t){var n=_$1[t]=e[t];_$1.prototype[t]=function(){var e=[this._wrapped];return push.apply(e,arguments),chainResult(this,n.apply(_$1,e))}})),_$1}each(["pop","push","reverse","shift","sort","splice","unshift"],(function(e){var t=ArrayProto[e];_$1.prototype[e]=function(){var n=this._wrapped;return null!=n&&(t.apply(n,arguments),"shift"!==e&&"splice"!==e||0!==n.length||delete n[0]),chainResult(this,n)}})),each(["concat","join","slice"],(function(e){var t=ArrayProto[e];_$1.prototype[e]=function(){var e=this._wrapped;return null!=e&&(e=t.apply(e,arguments)),chainResult(this,e)}}));var allExports={__proto__:null,VERSION:VERSION,restArguments:restArguments,isObject:isObject,isNull:isNull,isUndefined:isUndefined,isBoolean:isBoolean,isElement:isElement,isString:isString,isNumber:isNumber,isDate:isDate,isRegExp:isRegExp,isError:isError,isSymbol:isSymbol,isArrayBuffer:isArrayBuffer,isDataView:isDataView$1,isArray:isArray,isFunction:isFunction$1,isArguments:isArguments$1,isFinite:isFinite$1,isNaN:isNaN$1,isTypedArray:isTypedArray$1,isEmpty:isEmpty,isMatch:isMatch,isEqual:isEqual,isMap:isMap,isWeakMap:isWeakMap,isSet:isSet,isWeakSet:isWeakSet,keys:keys,allKeys:allKeys,values:values,pairs:pairs,invert:invert,functions:functions,methods:functions,extend:extend,extendOwn:extendOwn,assign:extendOwn,defaults:defaults,create:create,clone:clone,tap:tap,get:get,has:has,mapObject:mapObject,identity:identity,constant:constant,noop:noop,toPath:toPath$1,property:property,propertyOf:propertyOf,matcher:matcher,matches:matcher,times:times,random:random,now:now,escape:_escape,unescape:_unescape,templateSettings:templateSettings,template:template,result:result,uniqueId:uniqueId,chain:chain,iteratee:iteratee,partial:partial,bind:bind,bindAll:bindAll,memoize:memoize,delay:delay,defer:defer,throttle:throttle,debounce:debounce,wrap:wrap,negate:negate,compose:compose,after:after,before:before,once:once,findKey:findKey,findIndex:findIndex,findLastIndex:findLastIndex,sortedIndex:sortedIndex,indexOf:indexOf,lastIndexOf:lastIndexOf,find:find,detect:find,findWhere:findWhere,each:each,forEach:each,map:map,collect:map,reduce:reduce,foldl:reduce,inject:reduce,reduceRight:reduceRight,foldr:reduceRight,filter:filter,select:filter,reject:reject,every:every,all:every,some:some,any:some,contains:contains,includes:contains,include:contains,invoke:invoke,pluck:pluck,where:where,max:max,min:min,shuffle:shuffle,sample:sample,sortBy:sortBy,groupBy:groupBy,indexBy:indexBy,countBy:countBy,partition:partition,toArray:toArray,size:size,pick:pick,omit:omit,first:first,head:first,take:first,initial:initial,last:last,rest:rest,tail:rest,drop:rest,compact:compact,flatten:flatten,without:without,uniq:uniq,unique:uniq,union:union,intersection:intersection,difference:difference,unzip:unzip,transpose:unzip,zip:zip,object:object,range:range,chunk:chunk,mixin:mixin,default:_$1},_=mixin(allExports);_._=_;export default _;export{VERSION,after,every as all,allKeys,some as any,extendOwn as assign,before,bind,bindAll,chain,chunk,clone,map as collect,compact,compose,constant,contains,countBy,create,debounce,defaults,defer,delay,find as detect,difference,rest as drop,each,_escape as escape,every,extend,extendOwn,filter,find,findIndex,findKey,findLastIndex,findWhere,first,flatten,reduce as foldl,reduceRight as foldr,each as forEach,functions,get,groupBy,has,first as head,identity,contains as include,contains as includes,indexBy,indexOf,initial,reduce as inject,intersection,invert,invoke,isArguments$1 as isArguments,isArray,isArrayBuffer,isBoolean,isDataView$1 as isDataView,isDate,isElement,isEmpty,isEqual,isError,isFinite$1 as isFinite,isFunction$1 as isFunction,isMap,isMatch,isNaN$1 as isNaN,isNull,isNumber,isObject,isRegExp,isSet,isString,isSymbol,isTypedArray$1 as isTypedArray,isUndefined,isWeakMap,isWeakSet,iteratee,keys,last,lastIndexOf,map,mapObject,matcher,matcher as matches,max,memoize,functions as methods,min,mixin,negate,noop,now,object,omit,once,pairs,partial,partition,pick,pluck,property,propertyOf,random,range,reduce,reduceRight,reject,rest,restArguments,result,sample,filter as select,shuffle,size,some,sortBy,sortedIndex,rest as tail,first as take,tap,template,templateSettings,throttle,times,toArray,toPath$1 as toPath,unzip as transpose,_unescape as unescape,union,uniq,uniq as unique,uniqueId,unzip,values,where,without,wrap,zip};

0

capitalone_repos/rubicon-ml/docs/source/_static

capitalone_repos/rubicon-ml/docs/source/_static/images/rubicon_ml_logo_name.svg

<?xml version="1.0" encoding="utf-8"?> <svg viewBox="2105.75 -45.413 1575.526 1313.609" fill="none" xmlns="http://www.w3.org/2000/svg"> <defs> <linearGradient id="paint0_linear" x1="612.729" y1="0" x2="612.729" y2="1224" gradientUnits="userSpaceOnUse"> <stop stop-color="#E2F4FE"/> <stop offset="1" stop-color="#97D6ED"/> </linearGradient> <linearGradient id="paint1_linear" x1="-56.8245" y1="299.696" x2="-4.63461" y2="834.312" gradientUnits="userSpaceOnUse"> <stop stop-color="#019ED5"/> <stop offset="1" stop-color="#003362"/> </linearGradient> <linearGradient id="paint2_linear" x1="746.205" y1="437.978" x2="807.142" y2="893.844" gradientUnits="userSpaceOnUse"> <stop stop-color="#009ED5"/> <stop offset="1" stop-color="#003362"/> </linearGradient> <linearGradient id="paint3_linear" x1="664.533" y1="810.789" x2="704.345" y2="1179.18" gradientUnits="userSpaceOnUse"> <stop stop-color="#009ED5"/> <stop offset="1" stop-color="#003362"/> </linearGradient> </defs> <mask id="mask0" mask-type="alpha" maskUnits="userSpaceOnUse" x="0" y="0" width="1226" height="1224"> <path d="M612.729 1224C951.129 1224 1225.46 949.998 1225.46 612C1225.46 274.002 951.129 0 612.729 0C274.328 0 0 274.002 0 612C0 949.998 274.328 1224 612.729 1224Z" fill="white"/> </mask> <circle style="fill: rgb(255, 255, 255);" cx="2879.961" cy="610.774" r="652.849"/> <g mask="url(#mask0)" transform="matrix(1, 0, 0, 1, 2266.402832, 2.070756)"> <path d="M612.729 1224C951.129 1224 1225.46 949.998 1225.46 612C1225.46 274.002 951.129 0 612.729 0C274.328 0 0 274.002 0 612C0 949.998 274.328 1224 612.729 1224Z" fill="url(#paint0_linear)"/> <path fill-rule="evenodd" clip-rule="evenodd" d="M837.22 435.232H900.153L1143.78 505.688L1121.3 1031.5L-673.418 804.379L-617.239 770.25C-402.345 639.698 -229.15 541.72 -97.5173 476.264C36.646 409.55 128.11 376.181 180.447 376.181C217.065 376.181 254.259 385.277 294.511 402.507C325.056 415.582 353.008 430.905 397.713 457.78C401.595 460.114 417.778 469.878 421.952 472.386C431.186 477.935 438.529 482.295 445.533 486.37C462.753 496.386 477.103 504.173 490.475 510.623C521.276 525.48 546.32 532.819 568.159 532.819C637.809 532.819 725.913 501.597 831.79 438.47L837.22 435.232Z" stroke-width="45.9" stroke="white" fill="url(#paint1_linear)"/> <path fill-rule="evenodd" clip-rule="evenodd" d="M1330.29 904.593L1209.15 1215.27L364.858 1353.12L-61.2648 1213.57L-219.92 899.462L-145.825 643.856L-9.03537 470.708L6.7009 504.431C55.8427 609.743 146.501 661.864 282.781 661.864C329.547 661.864 381.083 648.428 442.057 621.903C468.145 610.555 495.849 596.896 527.974 579.78C551.638 567.172 563.257 560.723 616.62 530.821C697.141 485.701 739.588 463.402 788.368 442.319C861.983 410.502 926.779 393.919 988.777 393.919C1048.59 393.919 1114.93 410.503 1186.23 441.23C1247.52 467.645 1311.37 504.067 1375.12 547.703C1428.85 584.49 1480.81 625.299 1525.27 664.739C1563.84 698.958 1593.82 729.623 1605.92 747.058C1618.62 765.362 1617.25 786.36 1603.06 804.119C1592.3 817.573 1574.18 829.582 1548.38 841.326C1502.72 862.114 1430.21 883.087 1330.29 904.593Z" stroke-width="45.9" stroke="white" fill="url(#paint2_linear)"/> <path fill-rule="evenodd" clip-rule="evenodd" d="M33.5712 861.045C91.9801 962.446 189.107 1015.46 327.916 1020.61C376.556 1022.42 427.808 1012.52 486.243 991.534C511.304 982.535 537.617 971.552 567.489 957.836C590.296 947.363 608.672 938.464 649.865 918.168C656.14 915.076 658.82 913.756 662.255 912.066C733.629 876.952 773.758 858.73 818.411 842.699C876.877 821.709 929.55 810.789 980.63 810.789C1136.65 810.789 1241.04 887.17 1289.22 1036.5L1295.48 1055.89L553.356 1396.84L-28.9996 1154.5L-51.0364 862.8L25.239 846.58L33.5712 861.045Z" stroke-width="45.9" stroke="white" fill="url(#paint3_linear)"/> </g> <g transform="matrix(1, 0, 0, 1, -351.687775, 1358.597656)"> <path d="M 3663.486 -1099.182 L 3718.887 -1099.182 L 3718.887 -1089.48 L 3663.486 -1089.48 L 3663.486 -1099.182 Z" style="stroke: rgb(255, 255, 255); stroke-width: 50px; stroke-linejoin: round; stroke-linecap: round;" fill="#273B49"/> <path d="M 3899.507 -1149.841 C 3913.448 -1149.841 3924.366 -1145.745 3932.272 -1137.553 C 3940.32 -1129.362 3944.345 -1117.578 3944.345 -1102.2 L 3944.345 -1036.451 L 3933.566 -1036.451 L 3933.566 -1101.339 C 3933.566 -1113.985 3930.477 -1123.614 3924.298 -1130.223 C 3918.116 -1136.835 3909.493 -1140.141 3898.43 -1140.141 C 3885.78 -1140.141 3875.721 -1136.189 3868.25 -1128.284 C 3860.918 -1120.38 3857.255 -1109.744 3857.255 -1096.378 L 3857.255 -1036.451 L 3846.476 -1036.451 L 3846.476 -1101.339 C 3846.476 -1113.985 3843.385 -1123.614 3837.205 -1130.223 C 3831.025 -1136.835 3822.403 -1140.141 3811.336 -1140.141 C 3798.691 -1140.141 3788.628 -1136.189 3781.157 -1128.284 C 3773.826 -1120.38 3770.165 -1109.744 3770.165 -1096.378 L 3770.165 -1036.451 L 3759.385 -1036.451 L 3759.385 -1148.978 L 3769.732 -1148.978 L 3769.732 -1124.835 C 3773.467 -1132.739 3779.001 -1138.846 3786.333 -1143.159 C 3793.805 -1147.614 3802.641 -1149.841 3812.846 -1149.841 C 3823.048 -1149.841 3831.671 -1147.541 3838.716 -1142.943 C 3845.9 -1138.343 3851.003 -1131.589 3854.021 -1122.68 C 3857.755 -1131.016 3863.578 -1137.625 3871.483 -1142.511 C 3879.529 -1147.398 3888.87 -1149.841 3899.507 -1149.841 Z" style="stroke: rgb(255, 255, 255); stroke-width: 50px; stroke-linejoin: round; stroke-linecap: round;" fill="#273B49"/> <path d="M 3993.16 -1196.404 L 4003.939 -1196.404 L 4003.939 -1036.451 L 3993.16 -1036.451 L 3993.16 -1196.404 Z" style="stroke: rgb(255, 255, 255); stroke-width: 50px; stroke-linejoin: round; stroke-linecap: round;" fill="#273B49"/> <path d="M 2507.014 -1167.401 C 2512.008 -1177.988 2519.399 -1185.98 2529.187 -1191.372 C 2539.172 -1196.766 2551.458 -1199.461 2566.042 -1199.461 L 2566.042 -1178.788 L 2560.948 -1179.087 C 2544.366 -1179.087 2531.385 -1173.993 2521.997 -1163.805 C 2512.607 -1153.618 2507.911 -1139.335 2507.911 -1120.957 L 2507.911 -1040.654 L 2486.637 -1040.654 L 2486.637 -1198.264 L 2507.014 -1198.264 L 2507.014 -1167.401 Z" style="stroke: rgb(255, 255, 255); stroke-width: 50px; stroke-linejoin: round; stroke-linecap: round;" fill="#273B49"/> <path d="M 2751.927 -1198.264 L 2751.927 -1040.654 L 2731.55 -1040.654 L 2731.55 -1069.42 C 2725.96 -1059.831 2718.268 -1052.341 2708.481 -1046.947 C 2698.692 -1041.752 2687.506 -1039.156 2674.919 -1039.156 C 2654.344 -1039.156 2638.065 -1044.849 2626.079 -1056.235 C 2614.292 -1067.821 2608.401 -1084.701 2608.401 -1106.874 L 2608.401 -1198.264 L 2629.673 -1198.264 L 2629.673 -1108.972 C 2629.673 -1092.392 2633.768 -1079.806 2641.959 -1071.218 C 2650.149 -1062.628 2661.834 -1058.332 2677.017 -1058.332 C 2693.597 -1058.332 2706.681 -1063.326 2716.272 -1073.315 C 2725.856 -1083.502 2730.653 -1097.586 2730.653 -1115.564 L 2730.653 -1198.264 L 2751.927 -1198.264 Z" style="stroke: rgb(255, 255, 255); stroke-width: 50px; stroke-linejoin: round; stroke-linecap: round;" fill="#273B49"/> <path d="M 2895.709 -1199.461 C 2910.489 -1199.461 2923.875 -1196.066 2935.86 -1189.274 C 2947.845 -1182.682 2957.233 -1173.293 2964.025 -1161.109 C 2970.818 -1148.924 2974.215 -1135.041 2974.215 -1119.458 C 2974.215 -1103.877 2970.818 -1089.994 2964.025 -1077.81 C 2957.233 -1065.624 2947.845 -1056.136 2935.86 -1049.344 C 2923.875 -1042.552 2910.489 -1039.156 2895.709 -1039.156 C 2882.525 -1039.156 2870.638 -1041.953 2860.052 -1047.546 C 2849.663 -1053.139 2841.276 -1061.23 2834.884 -1071.817 L 2834.884 -1040.654 L 2814.505 -1040.654 L 2814.505 -1262.984 L 2835.78 -1262.984 L 2835.78 -1168.3 C 2842.374 -1178.487 2850.763 -1186.179 2860.95 -1191.372 C 2871.337 -1196.766 2882.924 -1199.461 2895.709 -1199.461 Z M 2894.21 -1058.033 C 2905.196 -1058.033 2915.185 -1060.53 2924.175 -1065.524 C 2933.165 -1070.719 2940.156 -1078.009 2945.149 -1087.398 C 2950.342 -1096.788 2952.941 -1107.473 2952.941 -1119.458 C 2952.941 -1131.443 2950.342 -1142.132 2945.149 -1151.52 C 2940.156 -1160.91 2933.165 -1168.1 2924.175 -1173.094 C 2915.185 -1178.287 2905.196 -1180.884 2894.21 -1180.884 C 2883.023 -1180.884 2872.935 -1178.287 2863.946 -1173.094 C 2855.157 -1168.1 2848.166 -1160.91 2842.972 -1151.52 C 2837.979 -1142.132 2835.48 -1131.443 2835.48 -1119.458 C 2835.48 -1107.473 2837.979 -1096.788 2842.972 -1087.398 C 2848.166 -1078.009 2855.157 -1070.719 2863.946 -1065.524 C 2872.935 -1060.53 2883.023 -1058.033 2894.21 -1058.033 Z" style="stroke: rgb(255, 255, 255); stroke-width: 50px; stroke-linejoin: round; stroke-linecap: round;" fill="#273B49"/> <path d="M 3020.577 -1198.264 L 3041.851 -1198.264 L 3041.851 -1040.654 L 3020.577 -1040.654 L 3020.577 -1198.264 Z M 3031.366 -1232.722 C 3026.97 -1232.722 3023.274 -1234.22 3020.277 -1237.217 C 3017.281 -1240.213 3015.782 -1243.808 3015.782 -1248.005 C 3015.782 -1251.999 3017.281 -1255.494 3020.277 -1258.49 C 3023.274 -1261.488 3026.97 -1262.984 3031.366 -1262.984 C 3035.761 -1262.984 3039.457 -1261.488 3042.452 -1258.49 C 3045.45 -1255.694 3046.947 -1252.299 3046.947 -1248.304 C 3046.947 -1243.908 3045.45 -1240.213 3042.452 -1237.217 C 3039.457 -1234.22 3035.761 -1232.722 3031.366 -1232.722 Z" style="stroke: rgb(255, 255, 255); stroke-width: 50px; stroke-linejoin: round; stroke-linecap: round;" fill="#273B49"/> <path d="M 3169.365 -1039.156 C 3153.785 -1039.156 3139.799 -1042.552 3127.414 -1049.344 C 3115.23 -1056.136 3105.641 -1065.624 3098.65 -1077.81 C 3091.659 -1090.195 3088.161 -1104.078 3088.161 -1119.458 C 3088.161 -1134.84 3091.659 -1148.624 3098.65 -1160.81 C 3105.641 -1172.994 3115.23 -1182.483 3127.414 -1189.274 C 3139.799 -1196.066 3153.785 -1199.461 3169.365 -1199.461 C 3182.95 -1199.461 3195.033 -1196.766 3205.62 -1191.372 C 3216.408 -1186.179 3224.899 -1178.487 3231.09 -1168.3 L 3215.209 -1157.512 C 3210.016 -1165.305 3203.422 -1171.095 3195.433 -1174.892 C 3187.443 -1178.887 3178.753 -1180.884 3169.365 -1180.884 C 3157.979 -1180.884 3147.689 -1178.287 3138.501 -1173.094 C 3129.513 -1168.1 3122.422 -1160.91 3117.227 -1151.52 C 3112.235 -1142.132 3109.735 -1131.443 3109.735 -1119.458 C 3109.735 -1107.273 3112.235 -1096.486 3117.227 -1087.098 C 3122.422 -1077.911 3129.513 -1070.719 3138.501 -1065.524 C 3147.689 -1060.53 3157.979 -1058.033 3169.365 -1058.033 C 3178.753 -1058.033 3187.443 -1059.931 3195.433 -1063.728 C 3203.422 -1067.521 3210.016 -1073.315 3215.209 -1081.105 L 3231.09 -1070.319 C 3224.899 -1060.13 3216.408 -1052.341 3205.62 -1046.947 C 3194.833 -1041.752 3182.747 -1039.156 3169.365 -1039.156 Z" style="stroke: rgb(255, 255, 255); stroke-width: 50px; stroke-linejoin: round; stroke-linecap: round;" fill="#273B49"/> <path d="M 3337.668 -1039.156 C 3322.486 -1039.156 3308.804 -1042.552 3296.616 -1049.344 C 3284.432 -1056.335 3274.843 -1065.924 3267.851 -1078.11 C 3260.861 -1090.294 3257.363 -1104.078 3257.363 -1119.458 C 3257.363 -1134.84 3260.861 -1148.624 3267.851 -1160.81 C 3274.843 -1172.994 3284.432 -1182.483 3296.616 -1189.274 C 3308.804 -1196.066 3322.486 -1199.461 3337.668 -1199.461 C 3352.849 -1199.461 3366.533 -1196.066 3378.717 -1189.274 C 3390.904 -1182.483 3400.391 -1172.994 3407.182 -1160.81 C 3414.176 -1148.624 3417.67 -1134.84 3417.67 -1119.458 C 3417.67 -1104.078 3414.176 -1090.294 3407.182 -1078.11 C 3400.391 -1065.924 3390.904 -1056.335 3378.717 -1049.344 C 3366.533 -1042.552 3352.849 -1039.156 3337.668 -1039.156 Z M 3337.668 -1058.033 C 3348.855 -1058.033 3358.841 -1060.53 3367.633 -1065.524 C 3376.621 -1070.719 3383.61 -1078.009 3388.607 -1087.398 C 3393.6 -1096.788 3396.097 -1107.473 3396.097 -1119.458 C 3396.097 -1131.443 3393.6 -1142.132 3388.607 -1151.52 C 3383.61 -1160.91 3376.621 -1168.1 3367.633 -1173.094 C 3358.841 -1178.287 3348.855 -1180.884 3337.668 -1180.884 C 3326.48 -1180.884 3316.392 -1178.287 3307.403 -1173.094 C 3298.614 -1168.1 3291.624 -1160.91 3286.43 -1151.52 C 3281.436 -1142.132 3278.938 -1131.443 3278.938 -1119.458 C 3278.938 -1107.473 3281.436 -1096.788 3286.43 -1087.398 C 3291.624 -1078.009 3298.614 -1070.719 3307.403 -1065.524 C 3316.392 -1060.53 3326.48 -1058.033 3337.668 -1058.033 Z" style="stroke: rgb(255, 255, 255); stroke-width: 50px; stroke-linejoin: round; stroke-linecap: round;" fill="#273B49"/> <path d="M 3544.403 -1199.461 C 3564.18 -1199.461 3579.862 -1193.669 3591.448 -1182.084 C 3603.232 -1170.697 3609.125 -1154.018 3609.125 -1132.044 L 3609.125 -1040.654 L 3587.85 -1040.654 L 3587.85 -1129.946 C 3587.85 -1146.327 3583.756 -1158.811 3575.566 -1167.401 C 3567.375 -1175.99 3555.69 -1180.285 3540.509 -1180.285 C 3523.527 -1180.285 3510.044 -1175.192 3500.058 -1165.005 C 3490.268 -1155.016 3485.373 -1141.133 3485.373 -1123.354 L 3485.373 -1040.654 L 3464.102 -1040.654 L 3464.102 -1198.264 L 3484.474 -1198.264 L 3484.474 -1169.199 C 3490.268 -1178.788 3498.26 -1186.179 3508.447 -1191.372 C 3518.834 -1196.766 3530.821 -1199.461 3544.403 -1199.461 Z" style="stroke: rgb(255, 255, 255); stroke-width: 50px; stroke-linejoin: round; stroke-linecap: round;" fill="#273B49"/> </g> <path d="M 3311.71 260.343 L 3367.111 260.343 L 3367.111 270.045 L 3311.71 270.045 L 3311.71 260.343 Z" style="stroke: rgb(255, 255, 255); stroke-linecap: round; stroke-linejoin: round; stroke-width: 0px;" fill="#273B49"/> <path d="M 3547.731 209.684 C 3561.672 209.684 3572.59 213.78 3580.496 221.972 C 3588.544 230.163 3592.569 241.947 3592.569 257.325 L 3592.569 323.074 L 3581.79 323.074 L 3581.79 258.186 C 3581.79 245.54 3578.701 235.911 3572.522 229.302 C 3566.34 222.69 3557.717 219.384 3546.654 219.384 C 3534.004 219.384 3523.945 223.336 3516.474 231.241 C 3509.142 239.145 3505.479 249.781 3505.479 263.147 L 3505.479 323.074 L 3494.7 323.074 L 3494.7 258.186 C 3494.7 245.54 3491.609 235.911 3485.429 229.302 C 3479.249 222.69 3470.627 219.384 3459.56 219.384 C 3446.915 219.384 3436.852 223.336 3429.381 231.241 C 3422.05 239.145 3418.389 249.781 3418.389 263.147 L 3418.389 323.074 L 3407.609 323.074 L 3407.609 210.547 L 3417.956 210.547 L 3417.956 234.69 C 3421.691 226.786 3427.225 220.679 3434.557 216.366 C 3442.029 211.911 3450.865 209.684 3461.07 209.684 C 3471.272 209.684 3479.895 211.984 3486.94 216.582 C 3494.124 221.182 3499.227 227.936 3502.245 236.845 C 3505.979 228.509 3511.802 221.9 3519.707 217.014 C 3527.753 212.127 3537.094 209.684 3547.731 209.684 Z" style="stroke: rgb(255, 255, 255); stroke-linecap: round; stroke-linejoin: round; stroke-width: 0px;" fill="#273B49"/> <path d="M 3641.384 163.121 L 3652.163 163.121 L 3652.163 323.074 L 3641.384 323.074 L 3641.384 163.121 Z" style="stroke: rgb(255, 255, 255); stroke-linecap: round; stroke-linejoin: round; stroke-width: 0px;" fill="#273B49"/> <path d="M 2155.238 192.124 C 2160.232 181.537 2167.623 173.545 2177.411 168.153 C 2187.396 162.759 2199.682 160.064 2214.266 160.064 L 2214.266 180.737 L 2209.172 180.438 C 2192.59 180.438 2179.609 185.532 2170.221 195.72 C 2160.831 205.907 2156.135 220.19 2156.135 238.568 L 2156.135 318.871 L 2134.861 318.871 L 2134.861 161.261 L 2155.238 161.261 L 2155.238 192.124 Z" style="stroke: rgb(255, 255, 255); stroke-linecap: round; stroke-linejoin: round; stroke-width: 0px;" fill="#273B49"/> <path d="M 2400.151 161.261 L 2400.151 318.871 L 2379.774 318.871 L 2379.774 290.105 C 2374.184 299.694 2366.492 307.184 2356.705 312.578 C 2346.916 317.773 2335.73 320.369 2323.143 320.369 C 2302.568 320.369 2286.289 314.676 2274.303 303.29 C 2262.516 291.704 2256.625 274.824 2256.625 252.651 L 2256.625 161.261 L 2277.897 161.261 L 2277.897 250.553 C 2277.897 267.133 2281.992 279.719 2290.183 288.307 C 2298.373 296.897 2310.058 301.193 2325.241 301.193 C 2341.821 301.193 2354.905 296.199 2364.496 286.21 C 2374.08 276.023 2378.877 261.939 2378.877 243.961 L 2378.877 161.261 L 2400.151 161.261 Z" style="stroke: rgb(255, 255, 255); stroke-linecap: round; stroke-linejoin: round; stroke-width: 0px;" fill="#273B49"/> <path d="M 2543.933 160.064 C 2558.713 160.064 2572.099 163.459 2584.084 170.251 C 2596.069 176.843 2605.457 186.232 2612.249 198.416 C 2619.042 210.601 2622.439 224.484 2622.439 240.067 C 2622.439 255.648 2619.042 269.531 2612.249 281.715 C 2605.457 293.901 2596.069 303.389 2584.084 310.181 C 2572.099 316.973 2558.713 320.369 2543.933 320.369 C 2530.749 320.369 2518.862 317.572 2508.276 311.979 C 2497.887 306.386 2489.5 298.295 2483.108 287.708 L 2483.108 318.871 L 2462.729 318.871 L 2462.729 96.541 L 2484.004 96.541 L 2484.004 191.225 C 2490.598 181.038 2498.987 173.346 2509.174 168.153 C 2519.561 162.759 2531.148 160.064 2543.933 160.064 Z M 2542.434 301.492 C 2553.42 301.492 2563.409 298.995 2572.399 294.001 C 2581.389 288.806 2588.38 281.516 2593.373 272.127 C 2598.566 262.737 2601.165 252.052 2601.165 240.067 C 2601.165 228.082 2598.566 217.393 2593.373 208.005 C 2588.38 198.615 2581.389 191.425 2572.399 186.431 C 2563.409 181.238 2553.42 178.641 2542.434 178.641 C 2531.247 178.641 2521.159 181.238 2512.17 186.431 C 2503.381 191.425 2496.39 198.615 2491.196 208.005 C 2486.203 217.393 2483.704 228.082 2483.704 240.067 C 2483.704 252.052 2486.203 262.737 2491.196 272.127 C 2496.39 281.516 2503.381 288.806 2512.17 294.001 C 2521.159 298.995 2531.247 301.492 2542.434 301.492 Z" style="stroke: rgb(255, 255, 255); stroke-linecap: round; stroke-linejoin: round; stroke-width: 0px;" fill="#273B49"/> <path d="M 2668.801 161.261 L 2690.075 161.261 L 2690.075 318.871 L 2668.801 318.871 L 2668.801 161.261 Z M 2679.59 126.803 C 2675.194 126.803 2671.498 125.305 2668.501 122.308 C 2665.505 119.312 2664.006 115.717 2664.006 111.52 C 2664.006 107.526 2665.505 104.031 2668.501 101.035 C 2671.498 98.037 2675.194 96.541 2679.59 96.541 C 2683.985 96.541 2687.681 98.037 2690.676 101.035 C 2693.674 103.831 2695.171 107.226 2695.171 111.221 C 2695.171 115.617 2693.674 119.312 2690.676 122.308 C 2687.681 125.305 2683.985 126.803 2679.59 126.803 Z" style="stroke: rgb(255, 255, 255); stroke-linecap: round; stroke-linejoin: round; stroke-width: 0px;" fill="#273B49"/> <path d="M 2817.589 320.369 C 2802.009 320.369 2788.023 316.973 2775.638 310.181 C 2763.454 303.389 2753.865 293.901 2746.874 281.715 C 2739.883 269.33 2736.385 255.447 2736.385 240.067 C 2736.385 224.685 2739.883 210.901 2746.874 198.715 C 2753.865 186.531 2763.454 177.042 2775.638 170.251 C 2788.023 163.459 2802.009 160.064 2817.589 160.064 C 2831.174 160.064 2843.257 162.759 2853.844 168.153 C 2864.632 173.346 2873.123 181.038 2879.314 191.225 L 2863.433 202.013 C 2858.24 194.22 2851.646 188.43 2843.657 184.633 C 2835.667 180.638 2826.977 178.641 2817.589 178.641 C 2806.203 178.641 2795.913 181.238 2786.725 186.431 C 2777.737 191.425 2770.646 198.615 2765.451 208.005 C 2760.459 217.393 2757.959 228.082 2757.959 240.067 C 2757.959 252.252 2760.459 263.039 2765.451 272.427 C 2770.646 281.614 2777.737 288.806 2786.725 294.001 C 2795.913 298.995 2806.203 301.492 2817.589 301.492 C 2826.977 301.492 2835.667 299.594 2843.657 295.797 C 2851.646 292.004 2858.24 286.21 2863.433 278.42 L 2879.314 289.206 C 2873.123 299.395 2864.632 307.184 2853.844 312.578 C 2843.057 317.773 2830.971 320.369 2817.589 320.369 Z" style="stroke: rgb(255, 255, 255); stroke-linecap: round; stroke-linejoin: round; stroke-width: 0px;" fill="#273B49"/> <path d="M 2985.892 320.369 C 2970.71 320.369 2957.028 316.973 2944.84 310.181 C 2932.656 303.19 2923.067 293.601 2916.075 281.415 C 2909.085 269.231 2905.587 255.447 2905.587 240.067 C 2905.587 224.685 2909.085 210.901 2916.075 198.715 C 2923.067 186.531 2932.656 177.042 2944.84 170.251 C 2957.028 163.459 2970.71 160.064 2985.892 160.064 C 3001.073 160.064 3014.757 163.459 3026.941 170.251 C 3039.128 177.042 3048.615 186.531 3055.406 198.715 C 3062.4 210.901 3065.894 224.685 3065.894 240.067 C 3065.894 255.447 3062.4 269.231 3055.406 281.415 C 3048.615 293.601 3039.128 303.19 3026.941 310.181 C 3014.757 316.973 3001.073 320.369 2985.892 320.369 Z M 2985.892 301.492 C 2997.079 301.492 3007.065 298.995 3015.857 294.001 C 3024.845 288.806 3031.834 281.516 3036.831 272.127 C 3041.824 262.737 3044.321 252.052 3044.321 240.067 C 3044.321 228.082 3041.824 217.393 3036.831 208.005 C 3031.834 198.615 3024.845 191.425 3015.857 186.431 C 3007.065 181.238 2997.079 178.641 2985.892 178.641 C 2974.704 178.641 2964.616 181.238 2955.627 186.431 C 2946.838 191.425 2939.848 198.615 2934.654 208.005 C 2929.66 217.393 2927.162 228.082 2927.162 240.067 C 2927.162 252.052 2929.66 262.737 2934.654 272.127 C 2939.848 281.516 2946.838 288.806 2955.627 294.001 C 2964.616 298.995 2974.704 301.492 2985.892 301.492 Z" style="stroke: rgb(255, 255, 255); stroke-linecap: round; stroke-linejoin: round; stroke-width: 0px;" fill="#273B49"/> <path d="M 3192.627 160.064 C 3212.404 160.064 3228.086 165.856 3239.672 177.441 C 3251.456 188.828 3257.349 205.507 3257.349 227.481 L 3257.349 318.871 L 3236.074 318.871 L 3236.074 229.579 C 3236.074 213.198 3231.98 200.714 3223.79 192.124 C 3215.599 183.535 3203.914 179.24 3188.733 179.24 C 3171.751 179.24 3158.268 184.333 3148.282 194.52 C 3138.492 204.509 3133.597 218.392 3133.597 236.171 L 3133.597 318.871 L 3112.326 318.871 L 3112.326 161.261 L 3132.698 161.261 L 3132.698 190.326 C 3138.492 180.737 3146.484 173.346 3156.671 168.153 C 3167.058 162.759 3179.045 160.064 3192.627 160.064 Z" style="stroke: rgb(255, 255, 255); stroke-linecap: round; stroke-linejoin: round; stroke-width: 0px;" fill="#273B49"/> </svg>

0

capitalone_repos/rubicon-ml/docs/source/_static

capitalone_repos/rubicon-ml/docs/source/_static/images/rubicon_ml_logo_only.svg

<?xml version="1.0" encoding="utf-8"?> <svg viewBox="2225.974 -45.413 1307.186 1313.609" fill="none" xmlns="http://www.w3.org/2000/svg"> <defs> <linearGradient id="paint0_linear" x1="612.729" y1="0" x2="612.729" y2="1224" gradientUnits="userSpaceOnUse"> <stop stop-color="#E2F4FE"/> <stop offset="1" stop-color="#97D6ED"/> </linearGradient> <linearGradient id="paint1_linear" x1="-56.8245" y1="299.696" x2="-4.63461" y2="834.312" gradientUnits="userSpaceOnUse"> <stop stop-color="#019ED5"/> <stop offset="1" stop-color="#003362"/> </linearGradient> <linearGradient id="paint2_linear" x1="746.205" y1="437.978" x2="807.142" y2="893.844" gradientUnits="userSpaceOnUse"> <stop stop-color="#009ED5"/> <stop offset="1" stop-color="#003362"/> </linearGradient> <linearGradient id="paint3_linear" x1="664.533" y1="810.789" x2="704.345" y2="1179.18" gradientUnits="userSpaceOnUse"> <stop stop-color="#009ED5"/> <stop offset="1" stop-color="#003362"/> </linearGradient> </defs> <mask id="mask0" mask-type="alpha" maskUnits="userSpaceOnUse" x="0" y="0" width="1226" height="1224"> <path d="M612.729 1224C951.129 1224 1225.46 949.998 1225.46 612C1225.46 274.002 951.129 0 612.729 0C274.328 0 0 274.002 0 612C0 949.998 274.328 1224 612.729 1224Z" fill="white"/> </mask> <circle style="fill: rgb(255, 255, 255);" cx="2879.961" cy="610.774" r="652.849"/> <g mask="url(#mask0)" transform="matrix(1, 0, 0, 1, 2266.402832, 2.070756)"> <path d="M612.729 1224C951.129 1224 1225.46 949.998 1225.46 612C1225.46 274.002 951.129 0 612.729 0C274.328 0 0 274.002 0 612C0 949.998 274.328 1224 612.729 1224Z" fill="url(#paint0_linear)"/> <path fill-rule="evenodd" clip-rule="evenodd" d="M837.22 435.232H900.153L1143.78 505.688L1121.3 1031.5L-673.418 804.379L-617.239 770.25C-402.345 639.698 -229.15 541.72 -97.5173 476.264C36.646 409.55 128.11 376.181 180.447 376.181C217.065 376.181 254.259 385.277 294.511 402.507C325.056 415.582 353.008 430.905 397.713 457.78C401.595 460.114 417.778 469.878 421.952 472.386C431.186 477.935 438.529 482.295 445.533 486.37C462.753 496.386 477.103 504.173 490.475 510.623C521.276 525.48 546.32 532.819 568.159 532.819C637.809 532.819 725.913 501.597 831.79 438.47L837.22 435.232Z" stroke-width="45.9" stroke="white" fill="url(#paint1_linear)"/> <path fill-rule="evenodd" clip-rule="evenodd" d="M1330.29 904.593L1209.15 1215.27L364.858 1353.12L-61.2648 1213.57L-219.92 899.462L-145.825 643.856L-9.03537 470.708L6.7009 504.431C55.8427 609.743 146.501 661.864 282.781 661.864C329.547 661.864 381.083 648.428 442.057 621.903C468.145 610.555 495.849 596.896 527.974 579.78C551.638 567.172 563.257 560.723 616.62 530.821C697.141 485.701 739.588 463.402 788.368 442.319C861.983 410.502 926.779 393.919 988.777 393.919C1048.59 393.919 1114.93 410.503 1186.23 441.23C1247.52 467.645 1311.37 504.067 1375.12 547.703C1428.85 584.49 1480.81 625.299 1525.27 664.739C1563.84 698.958 1593.82 729.623 1605.92 747.058C1618.62 765.362 1617.25 786.36 1603.06 804.119C1592.3 817.573 1574.18 829.582 1548.38 841.326C1502.72 862.114 1430.21 883.087 1330.29 904.593Z" stroke-width="45.9" stroke="white" fill="url(#paint2_linear)"/> <path fill-rule="evenodd" clip-rule="evenodd" d="M33.5712 861.045C91.9801 962.446 189.107 1015.46 327.916 1020.61C376.556 1022.42 427.808 1012.52 486.243 991.534C511.304 982.535 537.617 971.552 567.489 957.836C590.296 947.363 608.672 938.464 649.865 918.168C656.14 915.076 658.82 913.756 662.255 912.066C733.629 876.952 773.758 858.73 818.411 842.699C876.877 821.709 929.55 810.789 980.63 810.789C1136.65 810.789 1241.04 887.17 1289.22 1036.5L1295.48 1055.89L553.356 1396.84L-28.9996 1154.5L-51.0364 862.8L25.239 846.58L33.5712 861.045Z" stroke-width="45.9" stroke="white" fill="url(#paint3_linear)"/> </g> </svg>

0

capitalone_repos/rubicon-ml/docs/source/_static

capitalone_repos/rubicon-ml/docs/source/_static/images/rubicon_ml_logo_offset_dark.svg

<?xml version="1.0" encoding="UTF-8" standalone="no"?> <svg xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:cc="http://creativecommons.org/ns#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:svg="http://www.w3.org/2000/svg" xmlns="http://www.w3.org/2000/svg" xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd" xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape" width="5503.0942" height="1224" viewBox="0 0 5503.0942 1224" fill="none" version="1.1" id="svg888" sodipodi:docname="rubicon_ml_logo_offset_dark.svg" inkscape:version="1.0.2 (e86c8708, 2021-01-15)"> <metadata id="metadata892"> <rdf:RDF> <cc:Work rdf:about=""> <dc:format>image/svg+xml</dc:format> <dc:type rdf:resource="http://purl.org/dc/dcmitype/StillImage" /> <dc:title></dc:title> </cc:Work> </rdf:RDF> </metadata> <sodipodi:namedview pagecolor="#ffffff" bordercolor="#666666" borderopacity="1" objecttolerance="10" gridtolerance="10" guidetolerance="10" inkscape:pageopacity="0" inkscape:pageshadow="2" inkscape:window-width="1680" inkscape:window-height="997" id="namedview890" showgrid="false" fit-margin-top="0" fit-margin-left="0" fit-margin-right="0" fit-margin-bottom="0" inkscape:zoom="0.10076935" inkscape:cx="3314.5" inkscape:cy="612" inkscape:window-x="0" inkscape:window-y="25" inkscape:window-maximized="1" inkscape:current-layer="svg888" /> <mask id="mask0" mask-type="alpha" maskUnits="userSpaceOnUse" x="0" y="0" width="1226" height="1224"> <path d="m 612.729,1224 c 338.4,0 612.731,-274.002 612.731,-612 C 1225.46,274.002 951.129,0 612.729,0 274.328,0 0,274.002 0,612 c 0,337.998 274.328,612 612.729,612 z" fill="#ffffff" id="path833" /> </mask> <g mask="url(#mask0)" id="g844"> <path d="m 612.729,1224 c 338.4,0 612.731,-274.002 612.731,-612 C 1225.46,274.002 951.129,0 612.729,0 274.328,0 0,274.002 0,612 c 0,337.998 274.328,612 612.729,612 z" fill="url(#paint0_linear)" id="path836" style="fill:url(#paint0_linear)" /> <path fill-rule="evenodd" clip-rule="evenodd" d="m 837.22,435.232 h 62.933 L 1143.78,505.688 1121.3,1031.5 -673.418,804.379 -617.239,770.25 C -402.345,639.698 -229.15,541.72 -97.5173,476.264 36.646,409.55 128.11,376.181 180.447,376.181 c 36.618,0 73.812,9.096 114.064,26.326 30.545,13.075 58.497,28.398 103.202,55.273 3.882,2.334 20.065,12.098 24.239,14.606 9.234,5.549 16.577,9.909 23.581,13.984 17.22,10.016 31.57,17.803 44.942,24.253 30.801,14.857 55.845,22.196 77.684,22.196 69.65,0 157.754,-31.222 263.631,-94.349 z" fill="url(#paint1_linear)" stroke="#ffffff" stroke-width="45.9" id="path838" style="fill:url(#paint1_linear)" /> <path fill-rule="evenodd" clip-rule="evenodd" d="M 1330.29,904.593 1209.15,1215.27 364.858,1353.12 -61.2648,1213.57 -219.92,899.462 -145.825,643.856 -9.03537,470.708 6.7009,504.431 c 49.1418,105.312 139.8001,157.433 276.0801,157.433 46.766,0 98.302,-13.436 159.276,-39.961 26.088,-11.348 53.792,-25.007 85.917,-42.123 23.664,-12.608 35.283,-19.057 88.646,-48.959 80.521,-45.12 122.968,-67.419 171.748,-88.502 73.615,-31.817 138.411,-48.4 200.409,-48.4 59.813,0 126.153,16.584 197.453,47.311 61.29,26.415 125.14,62.837 188.89,106.473 53.73,36.787 105.69,77.596 150.15,117.036 38.57,34.219 68.55,64.884 80.65,82.319 12.7,18.304 11.33,39.302 -2.86,57.061 -10.76,13.454 -28.88,25.463 -54.68,37.207 -45.66,20.788 -118.17,41.761 -218.09,63.267 z" fill="url(#paint2_linear)" stroke="#ffffff" stroke-width="45.9" id="path840" style="fill:url(#paint2_linear)" /> <path fill-rule="evenodd" clip-rule="evenodd" d="m 33.5712,861.045 c 58.4089,101.401 155.5358,154.415 294.3448,159.565 48.64,1.81 99.892,-8.09 158.327,-29.076 25.061,-8.999 51.374,-19.982 81.246,-33.698 22.807,-10.473 41.183,-19.372 82.376,-39.668 6.275,-3.092 8.955,-4.412 12.39,-6.102 71.374,-35.114 111.503,-53.336 156.156,-69.367 58.466,-20.99 111.139,-31.91 162.219,-31.91 156.02,0 260.41,76.381 308.59,225.711 l 6.26,19.39 L 553.356,1396.84 -28.9996,1154.5 -51.0364,862.8 25.239,846.58 Z" fill="url(#paint3_linear)" stroke="#ffffff" stroke-width="45.9" id="path842" style="fill:url(#paint3_linear)" /> </g> <path d="m 4595.942,523.398 h 147.616 v 25.848 h -147.616 z" fill="#ffffff" id="path846" style="stroke-width:0.8" /> <path d="m 5224.83,388.414 c 37.144,0 66.24,10.9136 87.304,32.7408 21.448,21.8272 32.168,53.228 32.168,94.2016 v 175.192 h -28.72 V 517.654 c 0,-33.6984 -8.232,-59.3544 -24.696,-76.9696 -16.472,-17.6152 -39.448,-26.4224 -68.928,-26.4224 -33.704,0 -60.504,10.5304 -80.416,31.592 -19.536,21.0616 -29.296,49.3984 -29.296,85.0112 v 159.6832 h -28.72 V 517.654 c 0,-33.6984 -8.232,-59.3544 -24.704,-76.9696 -16.464,-17.6152 -39.44,-26.4224 -68.928,-26.4224 -33.696,0 -60.504,10.5304 -80.416,31.592 -19.528,21.0616 -29.288,49.3984 -29.288,85.0112 v 159.6832 h -28.72 V 390.7116 h 27.568 v 64.3328 c 9.952,-21.0616 24.696,-37.336 44.232,-48.824 19.912,-11.8712 43.456,-17.8064 70.648,-17.8064 27.184,0 50.16,6.1272 68.928,18.3808 19.144,12.2544 32.744,30.252 40.784,53.9936 9.952,-22.2104 25.464,-39.8248 46.528,-52.8448 21.44,-13.02 46.328,-19.5296 74.672,-19.5296 z" fill="#ffffff" id="path848" style="stroke-width:0.8" /> <path d="m 5474.374,264.3436 h 28.72 v 426.2048 h -28.72 z" fill="#ffffff" id="path850" style="stroke-width:0.8" /> <path d="m 1514.462,341.6252 c 13.304,-28.2104 33,-49.5008 59.08,-63.872 26.608,-14.3712 59.344,-21.5568 98.2,-21.5568 v 55.0896 l -13.568,-0.7984 c -44.184,0 -78.776,13.5728 -103.792,40.7184 -25.016,27.1456 -37.528,65.2024 -37.528,114.1712 v 213.9712 h -56.688 V 259.39 h 54.296 z" fill="#ffffff" id="path852" style="stroke-width:0.8" /> <path d="M 2167.046,259.39 V 679.3484 H 2112.75 V 602.702 c -14.896,25.5488 -35.392,45.5088 -61.472,59.88 -26.08,13.8392 -55.888,20.7584 -89.424,20.7584 -54.824,0 -98.2,-15.1696 -130.136,-45.5088 -31.408,-30.8712 -47.104,-75.848 -47.104,-134.9296 V 259.39 h 56.68 v 237.9232 c 0,44.1784 10.912,77.7112 32.736,100.5984 21.824,22.8872 52.96,34.3312 93.416,34.3312 44.176,0 79.04,-13.3064 104.592,-39.92 25.544,-27.1456 38.32,-64.6704 38.32,-112.5744 V 259.39 Z" fill="#ffffff" id="path854" style="stroke-width:0.8" /> <path d="m 2550.158,256.1964 c 39.384,0 75.048,9.0488 106.984,27.1456 31.936,17.5648 56.952,42.5816 75.048,75.0496 18.104,32.468 27.152,69.4608 27.152,110.9776 0,41.5168 -9.048,78.5096 -27.152,110.9776 -18.096,32.468 -43.112,57.7512 -75.048,75.848 -31.936,18.0968 -67.6,27.1456 -106.984,27.1456 -35.128,0 -66.8,-7.452 -95.008,-22.3552 -27.68,-14.9032 -50.032,-36.46 -67.064,-64.6704 v 83.0336 H 2333.79 V 86.9356 h 56.688 V 339.23 c 17.568,-27.1456 39.92,-47.6376 67.064,-61.4768 27.68,-14.3712 58.552,-21.5568 92.616,-21.5568 z m -3.992,376.8448 c 29.272,0 55.888,-6.6536 79.84,-19.96 23.952,-13.8392 42.584,-33.2664 55.888,-58.2832 13.84,-25.0168 20.76,-53.4928 20.76,-85.4288 0,-31.936 -6.92,-60.412 -20.76,-85.4288 -13.304,-25.0168 -31.936,-44.1784 -55.888,-57.4848 -23.952,-13.8392 -50.568,-20.7584 -79.84,-20.7584 -29.808,0 -56.688,6.9192 -80.64,20.7584 -23.416,13.3064 -42.048,32.468 -55.888,57.4848 -13.304,25.0168 -19.96,53.4928 -19.96,85.4288 0,31.936 6.656,60.412 19.96,85.4288 13.84,25.0168 32.472,44.444 55.888,58.2832 23.952,13.3064 50.832,19.96 80.64,19.96 z" fill="#ffffff" id="path856" style="stroke-width:0.8" /> <path d="m 2882.878,259.39 h 56.688 v 419.9584 h -56.688 z m 28.744,-91.816 c -11.712,0 -21.56,-3.992 -29.544,-11.976 -7.984,-7.984 -11.976,-17.5648 -11.976,-28.7424 0,-10.6456 3.992,-19.96 11.976,-27.944 7.984,-7.984 17.832,-11.976 29.544,-11.976 11.712,0 21.56,3.992 29.544,11.976 7.984,7.452 11.976,16.5 11.976,27.1456 0,11.7096 -3.992,21.5568 -11.976,29.5408 -7.984,7.984 -17.832,11.976 -29.544,11.976 z" fill="#ffffff" id="path858" style="stroke-width:0.8" /> <path d="m 3279.326,683.3404 c -41.512,0 -78.776,-9.0488 -111.776,-27.1456 -32.464,-18.0968 -58.016,-43.38 -76.648,-75.848 -18.624,-33.0008 -27.944,-69.9928 -27.944,-110.9776 0,-40.9848 9.32,-77.7112 27.944,-110.1792 18.632,-32.468 44.184,-57.7512 76.648,-75.848 33,-18.0968 70.264,-27.1456 111.776,-27.1456 36.2,0 68.4,7.1856 96.608,21.5568 28.744,13.8392 51.368,34.3312 67.864,61.4768 l -42.312,28.7424 c -13.84,-20.7584 -31.408,-36.1944 -52.696,-46.3072 -21.288,-10.6456 -44.448,-15.968 -69.464,-15.968 -30.336,0 -57.752,6.9192 -82.232,20.7584 -23.952,13.3064 -42.848,32.468 -56.688,57.4848 -13.304,25.0168 -19.96,53.4928 -19.96,85.4288 0,32.468 6.656,61.2104 19.96,86.2272 13.84,24.484 32.736,43.6456 56.688,57.4848 24.48,13.3064 51.896,19.96 82.232,19.96 25.016,0 48.176,-5.0568 69.464,-15.1696 21.288,-10.1128 38.856,-25.5488 52.696,-46.3072 l 42.312,28.7424 c -16.496,27.1456 -39.12,47.904 -67.864,62.2752 -28.744,13.8392 -60.944,20.7584 -96.608,20.7584 z" fill="#ffffff" id="path860" style="stroke-width:0.8" /> <path d="m 3727.782,683.3404 c -40.456,0 -76.912,-9.0488 -109.384,-27.1456 -32.464,-18.6296 -58.016,-44.1784 -76.648,-76.6464 -18.624,-32.468 -27.944,-69.1944 -27.944,-110.1792 0,-40.9848 9.32,-77.7112 27.944,-110.1792 18.632,-32.468 44.184,-57.7512 76.648,-75.848 32.472,-18.0968 68.928,-27.1456 109.384,-27.1456 40.448,0 76.912,9.0488 109.376,27.1456 32.472,18.0968 57.752,43.38 75.848,75.848 18.632,32.468 27.944,69.1944 27.944,110.1792 0,40.9848 -9.312,77.7112 -27.944,110.1792 -18.096,32.468 -43.376,58.0168 -75.848,76.6464 -32.464,18.0968 -68.928,27.1456 -109.376,27.1456 z m 0,-50.2992 c 29.808,0 56.416,-6.6536 79.84,-19.96 23.952,-13.8392 42.576,-33.2664 55.888,-58.2832 13.304,-25.0168 19.96,-53.4928 19.96,-85.4288 0,-31.936 -6.656,-60.412 -19.96,-85.4288 -13.312,-25.0168 -31.936,-44.1784 -55.888,-57.4848 -23.424,-13.8392 -50.032,-20.7584 -79.84,-20.7584 -29.808,0 -56.688,6.9192 -80.64,20.7584 -23.424,13.3064 -42.048,32.468 -55.888,57.4848 -13.304,25.0168 -19.96,53.4928 -19.96,85.4288 0,31.936 6.656,60.412 19.96,85.4288 13.84,25.0168 32.464,44.444 55.888,58.2832 23.952,13.3064 50.832,19.96 80.64,19.96 z" fill="#ffffff" id="path862" style="stroke-width:0.8" /> <path d="m 4278.638,256.1964 c 52.696,0 94.48,15.436 125.352,46.3072 31.4,30.3392 47.104,74.7832 47.104,133.3328 v 243.512 h -56.688 V 441.4252 c 0,-43.6456 -10.912,-76.9128 -32.736,-99.8 -21.824,-22.8872 -52.96,-34.3312 -93.408,-34.3312 -45.248,0 -81.176,13.5728 -107.784,40.7184 -26.088,26.6136 -39.128,63.6056 -39.128,110.9776 v 220.3584 h -56.68 V 259.39 h 54.288 v 77.4448 c 15.432,-25.5488 36.728,-45.2424 63.872,-59.0816 27.68,-14.3712 59.616,-21.5568 95.808,-21.5568 z" fill="#ffffff" id="path864" style="stroke-width:0.8" /> <defs id="defs886"> <linearGradient id="paint0_linear" x1="612.729" y1="0" x2="612.729" y2="1224" gradientUnits="userSpaceOnUse"> <stop stop-color="#E2F4FE" id="stop866" /> <stop offset="1" stop-color="#97D6ED" id="stop868" /> </linearGradient> <linearGradient id="paint1_linear" x1="-56.824501" y1="299.69601" x2="-4.6346102" y2="834.31201" gradientUnits="userSpaceOnUse"> <stop stop-color="#019ED5" id="stop871" /> <stop offset="1" stop-color="#003362" id="stop873" /> </linearGradient> <linearGradient id="paint2_linear" x1="746.20502" y1="437.978" x2="807.14203" y2="893.84399" gradientUnits="userSpaceOnUse"> <stop stop-color="#009ED5" id="stop876" /> <stop offset="1" stop-color="#003362" id="stop878" /> </linearGradient> <linearGradient id="paint3_linear" x1="664.53302" y1="810.789" x2="704.34497" y2="1179.1801" gradientUnits="userSpaceOnUse"> <stop stop-color="#009ED5" id="stop881" /> <stop offset="1" stop-color="#003362" id="stop883" /> </linearGradient> </defs> </svg>

0

capitalone_repos/rubicon-ml/docs/source/_static

capitalone_repos/rubicon-ml/docs/source/_static/images/rubicon_ml_logo_offset_light.svg

<?xml version="1.0" encoding="UTF-8" standalone="no"?> <svg xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:cc="http://creativecommons.org/ns#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:svg="http://www.w3.org/2000/svg" xmlns="http://www.w3.org/2000/svg" xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd" xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape" width="5483.0942" height="1224" viewBox="0 0 5483.0942 1224" fill="none" version="1.1" id="svg2195" sodipodi:docname="rubicon_ml_logo_offset_light.svg" inkscape:version="1.0.2 (e86c8708, 2021-01-15)"> <metadata id="metadata2199"> <rdf:RDF> <cc:Work rdf:about=""> <dc:format>image/svg+xml</dc:format> <dc:type rdf:resource="http://purl.org/dc/dcmitype/StillImage" /> <dc:title></dc:title> </cc:Work> </rdf:RDF> </metadata> <sodipodi:namedview pagecolor="#ffffff" bordercolor="#666666" borderopacity="1" objecttolerance="10" gridtolerance="10" guidetolerance="10" inkscape:pageopacity="0" inkscape:pageshadow="2" inkscape:window-width="1680" inkscape:window-height="997" id="namedview2197" showgrid="false" fit-margin-top="0" fit-margin-left="0" fit-margin-right="0" fit-margin-bottom="0" inkscape:zoom="0.15869664" inkscape:cx="3314.5" inkscape:cy="612" inkscape:window-x="0" inkscape:window-y="25" inkscape:window-maximized="1" inkscape:current-layer="svg2195" /> <mask id="mask0" mask-type="alpha" maskUnits="userSpaceOnUse" x="0" y="0" width="1226" height="1224"> <path d="m 612.729,1224 c 338.4,0 612.731,-274.002 612.731,-612 C 1225.46,274.002 951.129,0 612.729,0 274.328,0 0,274.002 0,612 c 0,337.998 274.328,612 612.729,612 z" fill="#ffffff" id="path2140" /> </mask> <g mask="url(#mask0)" id="g2151"> <path d="m 612.729,1224 c 338.4,0 612.731,-274.002 612.731,-612 C 1225.46,274.002 951.129,0 612.729,0 274.328,0 0,274.002 0,612 c 0,337.998 274.328,612 612.729,612 z" fill="url(#paint0_linear)" id="path2143" style="fill:url(#paint0_linear)" /> <path fill-rule="evenodd" clip-rule="evenodd" d="m 837.22,435.232 h 62.933 L 1143.78,505.688 1121.3,1031.5 -673.418,804.379 -617.239,770.25 C -402.345,639.698 -229.15,541.72 -97.5173,476.264 36.646,409.55 128.11,376.181 180.447,376.181 c 36.618,0 73.812,9.096 114.064,26.326 30.545,13.075 58.497,28.398 103.202,55.273 3.882,2.334 20.065,12.098 24.239,14.606 9.234,5.549 16.577,9.909 23.581,13.984 17.22,10.016 31.57,17.803 44.942,24.253 30.801,14.857 55.845,22.196 77.684,22.196 69.65,0 157.754,-31.222 263.631,-94.349 z" fill="url(#paint1_linear)" stroke="#ffffff" stroke-width="45.9" id="path2145" style="fill:url(#paint1_linear)" /> <path fill-rule="evenodd" clip-rule="evenodd" d="M 1330.29,904.593 1209.15,1215.27 364.858,1353.12 -61.2648,1213.57 -219.92,899.462 -145.825,643.856 -9.03537,470.708 6.7009,504.431 c 49.1418,105.312 139.8001,157.433 276.0801,157.433 46.766,0 98.302,-13.436 159.276,-39.961 26.088,-11.348 53.792,-25.007 85.917,-42.123 23.664,-12.608 35.283,-19.057 88.646,-48.959 80.521,-45.12 122.968,-67.419 171.748,-88.502 73.615,-31.817 138.411,-48.4 200.409,-48.4 59.813,0 126.153,16.584 197.453,47.311 61.29,26.415 125.14,62.837 188.89,106.473 53.73,36.787 105.69,77.596 150.15,117.036 38.57,34.219 68.55,64.884 80.65,82.319 12.7,18.304 11.33,39.302 -2.86,57.061 -10.76,13.454 -28.88,25.463 -54.68,37.207 -45.66,20.788 -118.17,41.761 -218.09,63.267 z" fill="url(#paint2_linear)" stroke="#ffffff" stroke-width="45.9" id="path2147" style="fill:url(#paint2_linear)" /> <path fill-rule="evenodd" clip-rule="evenodd" d="m 33.5712,861.045 c 58.4089,101.401 155.5358,154.415 294.3448,159.565 48.64,1.81 99.892,-8.09 158.327,-29.076 25.061,-8.999 51.374,-19.982 81.246,-33.698 22.807,-10.473 41.183,-19.372 82.376,-39.668 6.275,-3.092 8.955,-4.412 12.39,-6.102 71.374,-35.114 111.503,-53.336 156.156,-69.367 58.466,-20.99 111.139,-31.91 162.219,-31.91 156.02,0 260.41,76.381 308.59,225.711 l 6.26,19.39 L 553.356,1396.84 -28.9996,1154.5 -51.0364,862.8 25.239,846.58 Z" fill="url(#paint3_linear)" stroke="#ffffff" stroke-width="45.9" id="path2149" style="fill:url(#paint3_linear)" /> </g> <path d="m 4575.942,523.398 h 147.616 v 25.848 h -147.616 z" fill="#273b49" id="path2153" style="stroke-width:0.8" /> <path d="m 5204.83,388.414 c 37.144,0 66.24,10.9136 87.304,32.7408 21.448,21.8272 32.168,53.228 32.168,94.2016 v 175.192 h -28.72 V 517.654 c 0,-33.6984 -8.232,-59.3544 -24.696,-76.9696 -16.472,-17.6152 -39.448,-26.4224 -68.928,-26.4224 -33.704,0 -60.504,10.5304 -80.416,31.592 -19.536,21.0616 -29.296,49.3984 -29.296,85.0112 v 159.6832 h -28.72 V 517.654 c 0,-33.6984 -8.232,-59.3544 -24.704,-76.9696 -16.464,-17.6152 -39.44,-26.4224 -68.928,-26.4224 -33.696,0 -60.504,10.5304 -80.416,31.592 -19.528,21.0616 -29.288,49.3984 -29.288,85.0112 v 159.6832 h -28.72 V 390.7116 h 27.568 v 64.3328 c 9.952,-21.0616 24.696,-37.336 44.232,-48.824 19.912,-11.8712 43.456,-17.8064 70.648,-17.8064 27.184,0 50.16,6.1272 68.928,18.3808 19.144,12.2544 32.744,30.252 40.784,53.9936 9.952,-22.2104 25.464,-39.8248 46.528,-52.8448 21.44,-13.02 46.328,-19.5296 74.672,-19.5296 z" fill="#273b49" id="path2155" style="stroke-width:0.8" /> <path d="m 5454.374,264.3436 h 28.72 v 426.2048 h -28.72 z" fill="#273b49" id="path2157" style="stroke-width:0.8" /> <path d="m 1494.462,341.6252 c 13.304,-28.2104 33,-49.5008 59.08,-63.872 26.608,-14.3712 59.344,-21.5568 98.2,-21.5568 v 55.0896 l -13.568,-0.7984 c -44.184,0 -78.776,13.5728 -103.792,40.7184 -25.016,27.1456 -37.528,65.2024 -37.528,114.1712 v 213.9712 h -56.688 V 259.39 h 54.296 z" fill="#273b49" id="path2159" style="stroke-width:0.8" /> <path d="M 2147.046,259.39 V 679.3484 H 2092.75 V 602.702 c -14.896,25.5488 -35.392,45.5088 -61.472,59.88 -26.08,13.8392 -55.888,20.7584 -89.424,20.7584 -54.824,0 -98.2,-15.1696 -130.136,-45.5088 -31.408,-30.8712 -47.104,-75.848 -47.104,-134.9296 V 259.39 h 56.68 v 237.9232 c 0,44.1784 10.912,77.7112 32.736,100.5984 21.824,22.8872 52.96,34.3312 93.416,34.3312 44.176,0 79.04,-13.3064 104.592,-39.92 25.544,-27.1456 38.32,-64.6704 38.32,-112.5744 V 259.39 Z" fill="#273b49" id="path2161" style="stroke-width:0.8" /> <path d="m 2530.158,256.1964 c 39.384,0 75.048,9.0488 106.984,27.1456 31.936,17.5648 56.952,42.5816 75.048,75.0496 18.104,32.468 27.152,69.4608 27.152,110.9776 0,41.5168 -9.048,78.5096 -27.152,110.9776 -18.096,32.468 -43.112,57.7512 -75.048,75.848 -31.936,18.0968 -67.6,27.1456 -106.984,27.1456 -35.128,0 -66.8,-7.452 -95.008,-22.3552 -27.68,-14.9032 -50.032,-36.46 -67.064,-64.6704 v 83.0336 H 2313.79 V 86.9356 h 56.688 V 339.23 c 17.568,-27.1456 39.92,-47.6376 67.064,-61.4768 27.68,-14.3712 58.552,-21.5568 92.616,-21.5568 z m -3.992,376.8448 c 29.272,0 55.888,-6.6536 79.84,-19.96 23.952,-13.8392 42.584,-33.2664 55.888,-58.2832 13.84,-25.0168 20.76,-53.4928 20.76,-85.4288 0,-31.936 -6.92,-60.412 -20.76,-85.4288 -13.304,-25.0168 -31.936,-44.1784 -55.888,-57.4848 -23.952,-13.8392 -50.568,-20.7584 -79.84,-20.7584 -29.808,0 -56.688,6.9192 -80.64,20.7584 -23.416,13.3064 -42.048,32.468 -55.888,57.4848 -13.304,25.0168 -19.96,53.4928 -19.96,85.4288 0,31.936 6.656,60.412 19.96,85.4288 13.84,25.0168 32.472,44.444 55.888,58.2832 23.952,13.3064 50.832,19.96 80.64,19.96 z" fill="#273b49" id="path2163" style="stroke-width:0.8" /> <path d="m 2862.878,259.39 h 56.688 v 419.9584 h -56.688 z m 28.744,-91.816 c -11.712,0 -21.56,-3.992 -29.544,-11.976 -7.984,-7.984 -11.976,-17.5648 -11.976,-28.7424 0,-10.6456 3.992,-19.96 11.976,-27.944 7.984,-7.984 17.832,-11.976 29.544,-11.976 11.712,0 21.56,3.992 29.544,11.976 7.984,7.452 11.976,16.5 11.976,27.1456 0,11.7096 -3.992,21.5568 -11.976,29.5408 -7.984,7.984 -17.832,11.976 -29.544,11.976 z" fill="#273b49" id="path2165" style="stroke-width:0.8" /> <path d="m 3259.326,683.3404 c -41.512,0 -78.776,-9.0488 -111.776,-27.1456 -32.464,-18.0968 -58.016,-43.38 -76.648,-75.848 -18.624,-33.0008 -27.944,-69.9928 -27.944,-110.9776 0,-40.9848 9.32,-77.7112 27.944,-110.1792 18.632,-32.468 44.184,-57.7512 76.648,-75.848 33,-18.0968 70.264,-27.1456 111.776,-27.1456 36.2,0 68.4,7.1856 96.608,21.5568 28.744,13.8392 51.368,34.3312 67.864,61.4768 l -42.312,28.7424 c -13.84,-20.7584 -31.408,-36.1944 -52.696,-46.3072 -21.288,-10.6456 -44.448,-15.968 -69.464,-15.968 -30.336,0 -57.752,6.9192 -82.232,20.7584 -23.952,13.3064 -42.848,32.468 -56.688,57.4848 -13.304,25.0168 -19.96,53.4928 -19.96,85.4288 0,32.468 6.656,61.2104 19.96,86.2272 13.84,24.484 32.736,43.6456 56.688,57.4848 24.48,13.3064 51.896,19.96 82.232,19.96 25.016,0 48.176,-5.0568 69.464,-15.1696 21.288,-10.1128 38.856,-25.5488 52.696,-46.3072 l 42.312,28.7424 c -16.496,27.1456 -39.12,47.904 -67.864,62.2752 -28.744,13.8392 -60.944,20.7584 -96.608,20.7584 z" fill="#273b49" id="path2167" style="stroke-width:0.8" /> <path d="m 3707.782,683.3404 c -40.456,0 -76.912,-9.0488 -109.384,-27.1456 -32.464,-18.6296 -58.016,-44.1784 -76.648,-76.6464 -18.624,-32.468 -27.944,-69.1944 -27.944,-110.1792 0,-40.9848 9.32,-77.7112 27.944,-110.1792 18.632,-32.468 44.184,-57.7512 76.648,-75.848 32.472,-18.0968 68.928,-27.1456 109.384,-27.1456 40.448,0 76.912,9.0488 109.376,27.1456 32.472,18.0968 57.752,43.38 75.848,75.848 18.632,32.468 27.944,69.1944 27.944,110.1792 0,40.9848 -9.312,77.7112 -27.944,110.1792 -18.096,32.468 -43.376,58.0168 -75.848,76.6464 -32.464,18.0968 -68.928,27.1456 -109.376,27.1456 z m 0,-50.2992 c 29.808,0 56.416,-6.6536 79.84,-19.96 23.952,-13.8392 42.576,-33.2664 55.888,-58.2832 13.304,-25.0168 19.96,-53.4928 19.96,-85.4288 0,-31.936 -6.656,-60.412 -19.96,-85.4288 -13.312,-25.0168 -31.936,-44.1784 -55.888,-57.4848 -23.424,-13.8392 -50.032,-20.7584 -79.84,-20.7584 -29.808,0 -56.688,6.9192 -80.64,20.7584 -23.424,13.3064 -42.048,32.468 -55.888,57.4848 -13.304,25.0168 -19.96,53.4928 -19.96,85.4288 0,31.936 6.656,60.412 19.96,85.4288 13.84,25.0168 32.464,44.444 55.888,58.2832 23.952,13.3064 50.832,19.96 80.64,19.96 z" fill="#273b49" id="path2169" style="stroke-width:0.8" /> <path d="m 4258.638,256.1964 c 52.696,0 94.48,15.436 125.352,46.3072 31.4,30.3392 47.104,74.7832 47.104,133.3328 v 243.512 h -56.688 V 441.4252 c 0,-43.6456 -10.912,-76.9128 -32.736,-99.8 -21.824,-22.8872 -52.96,-34.3312 -93.408,-34.3312 -45.248,0 -81.176,13.5728 -107.784,40.7184 -26.088,26.6136 -39.128,63.6056 -39.128,110.9776 v 220.3584 h -56.68 V 259.39 h 54.288 v 77.4448 c 15.432,-25.5488 36.728,-45.2424 63.872,-59.0816 27.68,-14.3712 59.616,-21.5568 95.808,-21.5568 z" fill="#273b49" id="path2171" style="stroke-width:0.8" /> <defs id="defs2193"> <linearGradient id="paint0_linear" x1="612.729" y1="0" x2="612.729" y2="1224" gradientUnits="userSpaceOnUse"> <stop stop-color="#E2F4FE" id="stop2173" /> <stop offset="1" stop-color="#97D6ED" id="stop2175" /> </linearGradient> <linearGradient id="paint1_linear" x1="-56.824501" y1="299.69601" x2="-4.6346102" y2="834.31201" gradientUnits="userSpaceOnUse"> <stop stop-color="#019ED5" id="stop2178" /> <stop offset="1" stop-color="#003362" id="stop2180" /> </linearGradient> <linearGradient id="paint2_linear" x1="746.20502" y1="437.978" x2="807.14203" y2="893.84399" gradientUnits="userSpaceOnUse"> <stop stop-color="#009ED5" id="stop2183" /> <stop offset="1" stop-color="#003362" id="stop2185" /> </linearGradient> <linearGradient id="paint3_linear" x1="664.53302" y1="810.789" x2="704.34497" y2="1179.1801" gradientUnits="userSpaceOnUse"> <stop stop-color="#009ED5" id="stop2188" /> <stop offset="1" stop-color="#003362" id="stop2190" /> </linearGradient> </defs> </svg>

0

capitalone_repos/rubicon-ml/docs/source/_static

capitalone_repos/rubicon-ml/docs/source/_static/images/rubicon_ml_logo_dark.svg

0

capitalone_repos/rubicon-ml/docs/source/_static

capitalone_repos/rubicon-ml/docs/source/_static/images/rubicon_ml_logo_light.svg

0

capitalone_repos/rubicon-ml

capitalone_repos/rubicon-ml/binder/welcome.ipynb

import os from rubicon_ml import Rubicon from rubicon_ml.viz import ExperimentsTable default_server_url = "https://hub.gke2.mybinder.org/" # default_server_url = "https://hub-binder.mybinder.ovh" port = 8050 requests_pathname_prefix = f"{os.environ['JUPYTERHUB_SERVICE_PREFIX']}proxy/{port}/" dash_kwargs = {"requests_pathname_prefix": requests_pathname_prefix} run_server_kwargs = {"proxy": f"http://127.0.0.1:{port}::{default_server_url}", "port": port} rubicon = Rubicon(persistence="filesystem", root_dir=f"{os.getcwd()}/rubicon-root") project = rubicon.get_project(name="Classifying Penguins") experiments_table = ExperimentsTable(experiments=project.experiments()) experiments_table.show(dash_kwargs=dash_kwargs, run_server_kwargs=run_server_kwargs)session_base_url = os.path.dirname(os.path.dirname(os.path.dirname(( default_server_url + requests_pathname_prefix )))) print(f"Quick Look: \t{session_base_url}/tree/notebooks/quick-look") print(f"Examples: \t{session_base_url}/tree/notebooks/logging-examples") print(f"Integrations: \t{session_base_url}/tree/notebooks/integrations") print(f"Visualizations: {session_base_url}/tree/notebooks/viz")

0

capitalone_repos/rubicon-ml

capitalone_repos/rubicon-ml/binder/postBuild

git clone -b rubicon-logs https://github.com/ryanSoley/experimenting-with-rubicon.git binder/rubicon-root

0

capitalone_repos/rubicon-ml

capitalone_repos/rubicon-ml/binder/environment.yml

name: rubicon-ml-binder channels: - conda-forge dependencies: - python>=3.8 - pip - jupyter-server-proxy - rubicon-ml

0

capitalone_repos

capitalone_repos/federated-model-aggregation/LICENSE

Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License. "Source" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files. "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. "Work" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below). "Derivative Works" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof. "Contribution" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. For the purposes of this definition, "submitted" means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Work, but excluding communication that is conspicuously marked or otherwise designated in writing by the copyright owner as "Not a Contribution." "Contributor" shall mean Licensor and any individual or Legal Entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Work. 2. Grant of Copyright License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare Derivative Works of, publicly display, publicly perform, sublicense, and distribute the Work and such Derivative Works in Source or Object form. 3. Grant of Patent License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this section) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Work, where such license applies only to those patent claims licensable by such Contributor that are necessarily infringed by their Contribution(s) alone or by combination of their Contribution(s) with the Work to which such Contribution(s) was submitted. If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Work or a Contribution incorporated within the Work constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for that Work shall terminate as of the date such litigation is filed. 4. Redistribution. You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and (b) You must cause any modified files to carry prominent notices stating that You changed the files; and (c) You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works; and (d) If the Work includes a "NOTICE" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. The contents of the NOTICE file are for informational purposes only and do not modify the License. You may add Your own attribution notices within Derivative Works that You distribute, alongside or as an addendum to the NOTICE text from the Work, provided that such additional attribution notices cannot be construed as modifying the License. You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such Derivative Works as a whole, provided Your use, reproduction, and distribution of the Work otherwise complies with the conditions stated in this License. 5. Submission of Contributions. Unless You explicitly state otherwise, any Contribution intentionally submitted for inclusion in the Work by You to the Licensor shall be under the terms and conditions of this License, without any additional terms or conditions. Notwithstanding the above, nothing herein shall supersede or modify the terms of any separate license agreement you may have executed with Licensor regarding such Contributions. 6. Trademarks. This License does not grant permission to use the trade names, trademarks, service marks, or product names of the Licensor, except as required for reasonable and customary use in describing the origin of the Work and reproducing the content of the NOTICE file. 7. Disclaimer of Warranty. Unless required by applicable law or agreed to in writing, Licensor provides the Work (and each Contributor provides its Contributions) on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using or redistributing the Work and assume any risks associated with Your exercise of permissions under this License. 8. Limitation of Liability. In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall any Contributor be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Work (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if such Contributor has been advised of the possibility of such damages. 9. Accepting Warranty or Additional Liability. While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability. END OF TERMS AND CONDITIONS APPENDIX: How to apply the Apache License to your work. To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets "[]" replaced with your own identifying information. (Don't include the brackets!) The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. Copyright [yyyy] [name of copyright owner] Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

0

capitalone_repos

capitalone_repos/federated-model-aggregation/CODEOWNERS

* @JGSweets @ksneab7 @taylorfturner @micdavis @tyfarnan

0

capitalone_repos

capitalone_repos/federated-model-aggregation/pre-commit-hook.sh

#!/usr/bin/env bash # declare submodules to validate declare -a submodules=("aggregator" "api_service" "fma-core" "connectors/django" "clients/python_client") # start templated INSTALL_PYTHON=python3 EXIT_CODE=0 # end templated # loop through each submodule for SUBMODULE_DIR in "${submodules[@]}" do HERE="$(cd "$(dirname "$0")" && pwd)" ARGS=(hook-impl --hook-type=pre-commit) ARGS+=(--config "$SUBMODULE_DIR/.pre-commit-config.yaml") ARGS+=(--hook-dir "$HERE" -- "$@") echo echo Submodule: $SUBMODULE_DIR echo Args: "${ARGS[@]}" if [ -x "$INSTALL_PYTHON" ]; then "$INSTALL_PYTHON" -mpre_commit "${ARGS[@]}" elif command -v pre-commit > /dev/null; then pre-commit "${ARGS[@]}" else echo '`pre-commit` not found. Did you forget to activate your virtualenv?' 1>&2 exit 1 fi EXIT_CODE=$(( $EXIT_CODE ? $EXIT_CODE : $? )) done exit $EXIT_CODE

0

capitalone_repos

capitalone_repos/federated-model-aggregation/README.md

# Federated Model Aggregation ## Purpose The Federated Model Aggregation (FMA) Service is a collection of installable python components that make up the generic workflow/infrastructure needed for federated learning. The main goal is to take a distributed model training workflow and convert it into a federated learning paradigm with very little changes to your training code. Each component can be used by changing a few settings within the components and then simply deploying with a terraform based deployment script. The main components that make up the FMA Service are: * FMA Core * FMA Connectors * FMA Clients * Aggregator * API Service Additionally, the FMA contains deployable serverless infrastructure intended to provide a foundation for federated learning deployment capabilities, thus offering users the capability to quickly stand up the FMA service using these pre-made components. Users also have the ability to configure different components in a variety of ways in order to customize deployments for varying cloud platforms or develop their own components to support their own infrastructure such as new: * Metadata Connectors * Model Data Connectors * Clients Due to the agnostic design of the FMA framework, users can pick and choose which components to work with. Whether it's developing aggregation techniques, modifying infrastructure deployment steps, or creating new connectors to orchestrate communication between components, contributors are encouraged to contribute wherever there is interest or need. ## Repository Breakdown ### Aggregator The Aggregator component is used for aggregation service. Functionality includes: - Pushing and pulling models and their metadata. - Executing model aggregation between all clients' updates pushed to service for an experiment. ### API Service The API Service component does the following: - Handles all API interactions/calls from outside the service (developer and client API calls) - Hosts the static webpage for developers to analyze experiments. ### Clients The Clients component is a set of webclients that are ready-made to be integrated with the developer's client code. A webclient enables client-service interactions through the developer's code. The intent of this component is to make service connection seamless with the use of ready-made API calls. Users are encouraged to build and contribute their own client to suit the needs of their use case. ### FMA Core The FMA-Core component is a collection of building blocks use for agnostically building an FMA service. Algorithms and workflows are agnostic in the sense that users can build their own algorithms/workflows and use them in the FMA Service. ### Connectors The Connectors component is a set of subcomponents used to facilitate the communication to and from a variety of other components in the service. Users are encouraged to contribute additions and modifications to the connectors component as interest or need suits. ## Generalized System Diagram ![](images/Abstract_FMA_Diagram.png) ## Getting Started To find out more about each component and how to use them, visit their respective documentation located in the links below: - [Aggregator](aggregator/README.md) - [API Service](api_service/README.md) - Web Clients - [Python Client](clients/python_client/README.md) - [FMA Core](fma-core/README.md) - Connectors - [Django](connectors/django/README.md) ## Examples To see documentation around examples and deployments, visit the links with their respective documentation: - [Local Setup Tutorial Video](https://www.youtube.com/watch?v=TFdem9lY7jw) - [Client Example](examples/client_examples/python_client/dataprofiler_developer/README.md) - [Django Example](examples/django-deployment/README.md) - [Remote Terraform Deployment](terraform_deploy/README.md)

0

capitalone_repos/federated-model-aggregation

capitalone_repos/federated-model-aggregation/fma-core/.pre-commit-config.yaml

files: fma-core/fma_core repos: - repo: https://github.com/pre-commit/pre-commit-hooks rev: v4.3.0 hooks: - id: end-of-file-fixer name: EOF for fma-core - id: trailing-whitespace name: Whitespace for fma-core - id: check-ast name: Check python parse valid for fma-core - id: check-docstring-first name: Check docstring first in fma-core - repo: https://github.com/psf/black rev: 22.8.0 hooks: - id: black name: Black for fma-core - repo: https://github.com/pycqa/flake8 rev: '5.0.4' # pick a git hash / tag to point to hooks: - id: flake8 name: Flake8 for fma-core files: fma-core/ # https://github.com/PyCQA/pydocstyle/issues/68 for ignore of D401 # https://github.com/OCA/maintainer-quality-tools/issues/552 for ignore of W503 args: ["--config=fma-core/setup.cfg", "--ignore=D401,W503"] additional_dependencies: [flake8-docstrings] exclude: (^.*/tests|^.*/__init__.py) - repo: https://github.com/pycqa/isort rev: 5.12.0 hooks: - id: isort name: isort for fma-core

0

capitalone_repos/federated-model-aggregation

capitalone_repos/federated-model-aggregation/fma-core/setup.cfg

[metadata] name = fma-core description = Core functionality of federated learning algorithms for the FMA long_description = file: README.md license = Apache License 2.0 classifiers = Development Status :: 5 - Production/Stable Intended Audience :: Developers Intended Audience :: Education Intended Audience :: Information Technology Intended Audience :: Science/Research Topic :: Education Topic :: Scientific/Engineering Topic :: Scientific/Engineering :: Information Analysis License :: OSI Approved :: Apache Software License Programming Language :: Python :: 3 [flake8] max-line-length = 88 extend-ignore = E203 [isort] multi_line_output=3 profile=black skip=venv src_paths=fma_core

0

capitalone_repos/federated-model-aggregation

capitalone_repos/federated-model-aggregation/fma-core/requirements.txt

numpy==1.22.2

0

capitalone_repos/federated-model-aggregation

capitalone_repos/federated-model-aggregation/fma-core/.coveragerc

[run] omit = */tests/*,conftest.py,fma_django/migrations/*,setup.py branch = True

0

capitalone_repos/federated-model-aggregation

capitalone_repos/federated-model-aggregation/fma-core/CODEOWNERS

* @ksneab7 @tyfarnan @taylorfturner @micdavis @JGSweets

0

capitalone_repos/federated-model-aggregation

capitalone_repos/federated-model-aggregation/fma-core/Pipfile

[[source]] url = "https://pypi.python.org/simple" verify_ssl = true name = "pypi" [packages] numpy = "1.22.2" [dev-packages] pytest = "*" pytest-cov = "*" black = "*" flake8 = "*" pre-commit = "*" isort = "*" [requires] python_version = "3"

0

capitalone_repos/federated-model-aggregation

capitalone_repos/federated-model-aggregation/fma-core/README.md

# FMA-Core The FMA-Core component is a collection of building blocks use for agnostically building an FMA service. Algorithms and workflows are agnostic in the sense that users can build their own algorithms/workflows and use them in the FMA Service. Quick start ----------- For installation: ```console pip install fma-core ``` Testing ------- Inside a virtualenv: ``` make install make test ``` For testing and coverage reports: ``` make test-and-coverage ``` ## FMA-Algorithms A sub-part of FMA-Core is FMA-Algorithms. This component is an agnostic implementation of the model aggregation function for the FMA service. ## FMA-Workflows FMA-Workflow is the principal component of the service: gluing together the `aggregator`, `api`, `model`, and `metadata` connectors for the various parts of the service to communicate with each other.

0

capitalone_repos/federated-model-aggregation

capitalone_repos/federated-model-aggregation/fma-core/Makefile

.PHONY: install install: pipenv --rm || true pipenv --clear rm -f Pipfile.lock pipenv install --dev pipenv run pre-commit install .PHONY: test test: pipenv run pytest .PHONY: test-and-coverage test-and-coverage: pipenv run pytest --junit-xml=junit_xml_test_report.xml --cov-branch --cov=fma_core . pipenv run coverage xml -i pipenv run coverage report --fail-under 80

0

capitalone_repos/federated-model-aggregation

capitalone_repos/federated-model-aggregation/fma-core/requirements-dev.txt

pytest pytest-cov pytest-mock black flake8 pre-commit isort

0

capitalone_repos/federated-model-aggregation

capitalone_repos/federated-model-aggregation/fma-core/setup.py

"""Setup.py for fma algorithms.""" import os from setuptools import find_packages, setup from fma_core.version import __version__ project_path = os.path.abspath(os.path.dirname(__file__)) with open(os.path.join(project_path, "requirements.txt"), encoding="utf-8") as f: required_packages = f.read().splitlines() with open(os.path.join(project_path, "README.md"), encoding="utf-8") as f: LONG_DESCRIPTION = f.read() DESCRIPTION = "Federated Model Aggregation's Core Functionality" packages = find_packages(exclude=["*.tests"]) setup( author="Kenny Bean, Tyler Farnan, Taylor Turner, Michael Davis, Jeremy Goodsitt ", classifiers=[ "Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "Intended Audience :: Education", "Intended Audience :: Information Technology", "Intended Audience :: Science/Research", "Topic :: Education", "Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering :: Information Analysis", "License :: OSI Approved :: Apache Software License", "Programming Language :: Python :: 3", ], data_files=None, description=DESCRIPTION, include_package_data=True, install_requires=required_packages, keywords="Federated Learning", license="Apache License, Version 2.0", long_description=LONG_DESCRIPTION, long_description_content_type="text/markdown", name="fma-core", packages=packages, python_requires=">=3.8", url="https://github.com/capitalone/federated-model-aggregation", version=__version__, ) print("find_packages():", packages)

0

capitalone_repos/federated-model-aggregation/fma-core

capitalone_repos/federated-model-aggregation/fma-core/fma_core/version.py

"""File contains the version number for the package.""" MAJOR = 0 MINOR = 0 MICRO = 1 VERSION = "%d.%d.%d" % (MAJOR, MINOR, MICRO) __version__ = VERSION

0

capitalone_repos/federated-model-aggregation/fma-core

capitalone_repos/federated-model-aggregation/fma-core/fma_core/conf.py

"""Configuration for the fma-core library.""" import copy import importlib import os class Settings: """Settings Module for the fma-core library.""" def __init__(self): """Imports user specified settings file from env.""" settings_module = os.environ.get("FMA_SETTINGS_MODULE", None) if not settings_module: raise ImportError("The `FMA_SETTINGS_MODULE` was not set.") mod = importlib.import_module(settings_module) agg_settings = getattr(mod, "AGGREGATOR_SETTINGS", None) if not agg_settings or not isinstance(agg_settings, dict): raise ValueError( "`FMA_SETTINGS_MODULE` is improperly configured and must " "contain the dict `AGGREGATOR_SETTINGS`" ) for attr in dir(mod): value = getattr(mod, attr) # avoids issues if modules imported if isinstance(value, (list, dict)): value = copy.deepcopy(value) setattr(self, attr, value) settings = Settings()

0

capitalone_repos/federated-model-aggregation/fma-core

capitalone_repos/federated-model-aggregation/fma-core/fma_core/__init__.py

from .version import __version__ def setup(): """Loads packages required for the fma-core listed in the settings.""" import importlib from fma_core.conf import settings packages = getattr(settings, "INSTALLED_PACKAGES", []) for package in packages: importlib.import_module(package)

0

capitalone_repos/federated-model-aggregation/fma-core/fma_core

capitalone_repos/federated-model-aggregation/fma-core/fma_core/tests/test_base.py

import os import unittest from unittest import mock import fma_core from fma_core.conf import Settings class TestBaseInfo(unittest.TestCase): def test_has_version(self): hasattr(fma_core, "__version__") self.assertIsNotNone(fma_core.__version__) def test_import_settings(self): from fma_core.conf import settings expected_settings = { "aggregator_connector_type": "BaseAggConnector", "metadata_connector": { "type": "FakeMetadataConnector", }, "model_data_connector": { "type": "FakeModelDataConnector", }, } self.assertDictEqual(expected_settings, settings.AGGREGATOR_SETTINGS) with self.assertRaises(AttributeError): settings.VALUE_THAT_DOESNT_EXIST @mock.patch.dict(os.environ, {"FMA_SETTINGS_MODULE": ""}, clear=True) def test_import_not_set(self): with self.assertRaisesRegex( ImportError, "The `FMA_SETTINGS_MODULE` was not set." ): Settings() @mock.patch("fma_core.tests.fma_settings.AGGREGATOR_SETTINGS", None) def test_fma_settings_module_not_set(self): with self.assertRaisesRegex( ValueError, "`FMA_SETTINGS_MODULE` is improperly configured and must contain the dict `AGGREGATOR_SETTINGS`", ): Settings() def test_setup(self): from fma_core.conf import settings # with no packages specified with mock.patch("importlib.import_module") as mock_import: fma_core.setup() mock_import.assert_not_called() # with package that doesn't exist INSTALLED_PACKAGES = ["fake-package-no-exist-123"] with mock.patch("fma_core.conf.settings") as mock_settings: mock_settings.INSTALLED_PACKAGES = ["fake-package-no-exist-123"] with self.assertRaisesRegex(ImportError, "fake-package-no-exist-123"): fma_core.setup() # with package that does exist with mock.patch("fma_core.conf.settings") as mock_settings: mock_settings.INSTALLED_PACKAGES = ["fma_core"] fma_core.setup()

0

capitalone_repos/federated-model-aggregation/fma-core/fma_core

capitalone_repos/federated-model-aggregation/fma-core/fma_core/tests/conftest.py

import os import sys from os.path import abspath, dirname root_dir = dirname(dirname(dirname(abspath(__file__)))) print(root_dir) sys.path.append(root_dir) os.environ["FMA_SETTINGS_MODULE"] = "fma_core.tests.fma_settings"

0

capitalone_repos/federated-model-aggregation/fma-core/fma_core

capitalone_repos/federated-model-aggregation/fma-core/fma_core/tests/fma_settings.py

"""Abstract aggregator settings.""" from os import * # included to test imports AGGREGATOR_SETTINGS = { "aggregator_connector_type": "BaseAggConnector", "metadata_connector": { "type": "FakeMetadataConnector", }, "model_data_connector": { "type": "FakeModelDataConnector", }, } API_SERVICE_SETTINGS = {"handler": "fake_handler"}

0

capitalone_repos/federated-model-aggregation/fma-core/fma_core

capitalone_repos/federated-model-aggregation/fma-core/fma_core/tests/utils.py

from __future__ import annotations import json from dataclasses import dataclass, field from io import StringIO @dataclass class ModelData: data: list def open(self, *args): return StringIO(json.dumps(self.data)) @dataclass(frozen=True) class Client: id: str @dataclass class ModelUpdate: data: list | np.ndarray client: Client @dataclass class ModelAggregate: result: any id: int | None = None @dataclass class ModelArtifact: values: ModelData @dataclass class ClientList: clients: list[Client] def all(self): return self.clients @dataclass class FederatedModel: clients: ClientList aggregates: list[ModelAggregate] = field(default_factory=list) current_artifact: ModelArtifact | None = None aggregator: str | None = None def create_model_file(data: list[int | float]): """Simulation of creating a model file""" return ModelData(data=data) @dataclass class Task: """Used to run construct a valid parameter for the post_agg_service function.""" args: list success: bool def __init__(self, args, success): """Initialization of the Task class. :param args: Arguments :type args: Dict, optional :param success: The initial task success status :type success: bool """ self.args = args self.success = success

0

capitalone_repos/federated-model-aggregation/fma-core/fma_core/tests

capitalone_repos/federated-model-aggregation/fma-core/fma_core/tests/workflows/test_api_handler_factory.py

import unittest from unittest import mock from fma_core.conf import settings as fma_settings from fma_core.workflows import api_handler_factory, api_handler_utils class TestAPIHandler(unittest.TestCase): @mock.patch.dict(api_handler_utils._registry, {}, clear=True) def test_register(self): self.assertDictEqual({}, api_handler_utils._registry) @api_handler_utils.register() def fake_func(): pass self.assertIn("fake_func", api_handler_utils._registry) @mock.patch.object(fma_settings, "API_SERVICE_SETTINGS", None) def test_handler_settings_not_set(self): with self.assertRaisesRegex( ValueError, "API_SERVICE_SETTINGS` settings are not specified in settings", ): api_handler_factory.call_api_handler() @mock.patch.object(fma_settings, "API_SERVICE_SETTINGS", {"fake": "test"}) def test_handler_fcn_not_set(self): with self.assertRaisesRegex( ValueError, "`handler` is not specified in settings", ): api_handler_factory.call_api_handler() def test_call_api_handler(self): mock_handler = mock.Mock() mock_registry = {"fake_handler": mock_handler} with mock.patch.dict(api_handler_utils._registry, mock_registry, clear=True): api_handler_factory.call_api_handler("fake", data="test") mock_handler.assert_called_with("fake", data="test")

0

capitalone_repos/federated-model-aggregation/fma-core/fma_core/tests

capitalone_repos/federated-model-aggregation/fma-core/fma_core/tests/workflows/test_tasks.py

import datetime import os import sys import unittest from unittest import mock from fma_core.tests import utils from fma_core.workflows.aggregator_connectors_factory import BaseAggConnector from fma_core.workflows.metadata_connectors_factory import BaseMetadataConnector from fma_core.workflows.model_data_connectors_factory import BaseModelDataConnector from fma_core.workflows.tasks import ( agg_service, post_agg_service_hook, update_metadata_db, ) @mock.patch( "fma_core.workflows.aggregator_connectors_factory.BaseAggConnector._BaseAggConnector__subclasses", {"baseaggconnector": BaseAggConnector}, ) @mock.patch( "fma_core.workflows.metadata_connectors_factory.BaseMetadataConnector.create" ) @mock.patch( "fma_core.workflows.model_data_connectors_factory.BaseModelDataConnector.create" ) class TestAggService(unittest.TestCase): def setup_mock_connectors(self, mock_model_create, mock_meta_create): mock_meta = mock.Mock(spec=BaseMetadataConnector) mock_meta_create.return_value = mock_meta mock_model = mock.Mock(spec=BaseModelDataConnector) mock_model_create.return_value = mock_model return mock_model, mock_meta def test_no_aggregates(self, mock_model_create, mock_meta_create, *mocks): # federated object setup mock_model, mock_meta = self.setup_mock_connectors( mock_model_create, mock_meta_create ) mock_meta.pull_federated_model_w_id.return_value = utils.FederatedModel( aggregator="avg_values_if_data", clients=utils.ClientList([utils.Client("test")]), ) mock_meta.pull_model_updates_ready_for_aggregation.return_value = [] # Assert no model_updates actual_result = agg_service(model_id=1) self.assertIsNone(actual_result) mock_meta.pull_model_requirements.return_value = None, None model_update_data = [ utils.ModelUpdate(data=[[2], [2]], client=utils.Client("id=1")), utils.ModelUpdate(data=[[3], [1]], client=utils.Client("id=2")), ] mock_meta.pull_model_updates_ready_for_aggregation.return_value = ( model_update_data ) mock_model.pull_model_updates_data.return_value = model_update_data # ensure results stay the same for checking mock_model.prep_model_data_for_storage.side_effect = lambda x: x mock_model.push_model_data_to_storage.side_effect = lambda x: x # set results / id for output since we aren't using an external system mock_meta.post_new_model_aggregate.side_effect = ( lambda model, parent_agg, results: utils.ModelAggregate( id=300, result=results ) ) actual_result = agg_service(model_id=1) actual_agg_result = mock_meta.post_new_model_aggregate.call_args[0][2] self.assertEqual(300, actual_result) self.assertEqual([[2.5], [1.5]], actual_agg_result) # TODO: add test for req_str not being None # mock_meta.pull_model_requirements.return_value = None, None def test_post_agg_service_hook(self, mock_model_create, mock_meta_create, *mocks): mock_model, mock_meta = self.setup_mock_connectors( mock_model_create, mock_meta_create ) # no model mock_meta.pull_federated_model_w_id.return_value = None task = utils.Task(args=[0], success=False) actual_result = post_agg_service_hook(task) mock_meta.pull_model_updates_registered_for_aggregation.assert_not_called() # assert model, but no updates mock_meta.pull_federated_model_w_id.return_value = utils.FederatedModel( aggregator="avg_values_if_data", clients=utils.ClientList([utils.Client("test")]), ) mock_meta.pull_model_updates_registered_for_aggregation.return_value = None actual_result = post_agg_service_hook(task) mock_meta.pull_model_updates_registered_for_aggregation.assert_called() mock_meta.register_model_updates_use_in_aggregation_complete.assert_not_called() # failed task model_updates = [ utils.ModelUpdate(data=[[2], [2]], client=utils.Client("id=1")), ] mock_meta.pull_model_updates_registered_for_aggregation.return_value = ( model_updates ) actual_result = post_agg_service_hook(task) mock_meta.register_model_updates_use_in_aggregation_complete.assert_called_with( model_updates, False ) # successful task mock_meta.register_model_updates_use_in_aggregation_complete.reset_mock() model_updates = [ utils.ModelUpdate(data=[[2], [2]], client=utils.Client("id=1")), ] mock_meta.register_model_updates_use_in_aggregation_complete.return_value = ( model_updates ) task = utils.Task(args=[0], success=True) actual_result = post_agg_service_hook(task) mock_meta.register_model_updates_use_in_aggregation_complete.assert_called_with( model_updates, True ) def test_update_metadata_db(self, mock_model_create, mock_meta_create, *mocks): mock_model, mock_meta = self.setup_mock_connectors( mock_model_create, mock_meta_create ) actual_result = update_metadata_db() mock_meta.update_database.assert_called()

0

capitalone_repos/federated-model-aggregation/fma-core/fma_core/tests

capitalone_repos/federated-model-aggregation/fma-core/fma_core/tests/workflows/test_aggregator_connectors_factory.py

import unittest from unittest import mock from fma_core.workflows.aggregator_connectors_factory import BaseAggConnector from fma_core.workflows.aggregator_utils import AutoSubRegistrationMeta class TestBaseAggreagtorFactory(unittest.TestCase): @mock.patch( "fma_core.workflows.aggregator_connectors_factory.BaseAggConnector." "_BaseAggConnector__subclasses", new_callable=mock.PropertyMock, ) def test_auto_register_subclass(self, mock_subclasses, *mocks): # create fake class class FakeAggConn(BaseAggConnector, metaclass=AutoSubRegistrationMeta): def __init__(self, settings=None): pass # assert registered BaseAggConnector._BaseAggConnector__subclasses.__setitem__.assert_called_with( "fakeaggconn", FakeAggConn ) # assert can get after register mock_subclasses.return_value = {"fakeaggconn": FakeAggConn} value = BaseAggConnector.create("fakeaggconn") self.assertIsInstance(value, FakeAggConn)

0

capitalone_repos/federated-model-aggregation/fma-core/fma_core/tests/algorithms

capitalone_repos/federated-model-aggregation/fma-core/fma_core/tests/algorithms/requirements/test_common_reqs.py

from __future__ import annotations import os import sys import unittest from unittest import mock import numpy as np from fma_core.algorithms.requirements.common import all_clients, require_x_updates from fma_core.tests import utils class TestAllClients(unittest.TestCase): def test_no_model_updates(self): model = utils.FederatedModel(clients=utils.ClientList([utils.Client("test")])) model_updates = [] actual_result = all_clients(model, model_updates) self.assertFalse(actual_result) def test_fail_req(self): model = utils.FederatedModel( clients=utils.ClientList( [ utils.Client("id=1"), utils.Client("id=2"), ] ) ) model_updates = [utils.ModelUpdate(client=utils.Client("id=2"), data=None)] actual_result = all_clients(model, model_updates) self.assertFalse(actual_result) def test_pass_req(self): model = utils.FederatedModel( clients=utils.ClientList( [ utils.Client("id=1"), utils.Client("id=2"), ] ) ) model_updates = [ utils.ModelUpdate(client=utils.Client("id=1"), data=None), utils.ModelUpdate(client=utils.Client("id=2"), data=None), ] actual_result = all_clients(model, model_updates) self.assertTrue(actual_result) class TestRequireXUpdates(unittest.TestCase): def test_no_model_updates(self): model = utils.FederatedModel(clients=utils.ClientList([utils.Client("test")])) model_updates = [] actual_result = require_x_updates(model, model_updates, x=3) self.assertFalse(actual_result) def test_fail_req(self): model = utils.FederatedModel( clients=utils.ClientList( [ utils.Client("id=1"), utils.Client("id=2"), ] ) ) model_updates = [utils.ModelUpdate(client=utils.Client("id=2"), data=None)] actual_result = require_x_updates(model, model_updates, x=2) self.assertFalse(actual_result) def test_pass_req(self): model = utils.FederatedModel( clients=utils.ClientList( [ utils.Client("id=1"), utils.Client("id=2"), utils.Client("id=3"), ] ) ) # meet by having == 2 model_updates = [ utils.ModelUpdate(client=utils.Client("id=1"), data=None), utils.ModelUpdate(client=utils.Client("id=2"), data=None), ] actual_result = require_x_updates(model, model_updates, x=2) self.assertTrue(actual_result) # meet by having >= 2 model_updates = [ utils.ModelUpdate(client=utils.Client("id=1"), data=None), utils.ModelUpdate(client=utils.Client("id=2"), data=None), utils.ModelUpdate(client=utils.Client("id=3"), data=None), ] actual_result = require_x_updates(model, model_updates, x=2) self.assertTrue(actual_result)

0

capitalone_repos/federated-model-aggregation/fma-core/fma_core/tests/algorithms

capitalone_repos/federated-model-aggregation/fma-core/fma_core/tests/algorithms/aggregators/test_common_aggs.py

from __future__ import annotations import os import sys import unittest from dataclasses import dataclass from unittest import mock import numpy as np from fma_core.algorithms.aggregators.common import average_layers, avg_values_if_data from fma_core.tests import utils class TestAvgValues(unittest.TestCase): def test_no_model_updates(self, *mocks): model = None model_updates = [] actual_result = avg_values_if_data(model, model_updates) self.assertTrue(np.isnan(actual_result)) def test_multilayer_array(self, *mocks): model = None model_updates = [ utils.ModelUpdate(data=[[2], [2]], client=utils.Client("id=1")), utils.ModelUpdate(data=[[3], [1]], client=utils.Client("id=2")), ] expected_result = [[2.5], [1.5]] actual_result = average_layers(model, model_updates) self.assertListEqual(expected_result, actual_result) class TestAvgLayers(unittest.TestCase): def test_no_model_updates(self, *mocks): model = None model_updates = [] actual_result = average_layers(model, model_updates) self.assertIsNone(actual_result) def test_multilayer_array(self, *mocks): model = None model_updates = [ utils.ModelUpdate(data=[[2], [2, 4, 5], [2]], client=utils.Client("id=1")), utils.ModelUpdate(data=[[3], [1, 3, 4], [1]], client=utils.Client("id=2")), ] expected_result = [[2.5], [1.5, 3.5, 4.5], [1.5]] actual_result = average_layers(model, model_updates) self.assertListEqual(expected_result, actual_result)

0

capitalone_repos/federated-model-aggregation/fma-core/fma_core

capitalone_repos/federated-model-aggregation/fma-core/fma_core/workflows/api_handler_factory.py

"""Factory function for calling registered api handlers specified in settings.""" from typing import Any import fma_core from fma_core.conf import settings as fma_settings from fma_core.workflows.api_handler_utils import _registry def call_api_handler(*args, **kwargs) -> Any: """Abstract call to API handler of a connector.""" fma_core.setup() handler_settings = getattr(fma_settings, "API_SERVICE_SETTINGS", None) if not handler_settings: raise ValueError( "`API_SERVICE_SETTINGS` settings are not specified in settings" ) handler_fcn_str = handler_settings.get("handler", None) if handler_fcn_str is None: raise ValueError("`handler` is not specified in settings") handler_fcn = _registry[handler_fcn_str] return handler_fcn(*args, **kwargs)

0

capitalone_repos/federated-model-aggregation/fma-core/fma_core

capitalone_repos/federated-model-aggregation/fma-core/fma_core/workflows/model_data_connectors_factory.py

"""The base factory class that allows for creation of the model data connector.""" import inspect from abc import ABC, abstractmethod from typing import Any, ClassVar, Dict class BaseModelDataConnector(ABC): """The metadata connector object used for connection to FMA setup.""" __subclasses = {} def __init__(self, settings: Dict): """Initialization function for the model data connector. :param settings: The settings that will be used to initialize the model data connector :type settings: Dict """ self.settings = settings @classmethod def create( cls, model_connector_type: str, model_connector_settings: Dict = None ) -> ClassVar: """Creates subclass of aggregation connector. :param model_connector_type: The subclass of model data connector to be created :type model_connector_type: str :param model_connector_settings: The settings to initialize the connector, defaults to None :type model_connector_settings: Dict, optional :raises ValueError: meta_connector_type not in BaseMetadataConnector subclass :return: A valid subclass object of BaseModelDataConnector :rtype: ClassVar """ if model_connector_type.lower() not in cls._BaseModelDataConnector__subclasses: raise ValueError return cls._BaseModelDataConnector__subclasses[model_connector_type.lower()]( model_connector_settings ) @classmethod def _register_subclass(cls) -> None: """Register a subclass for the class factory.""" if not inspect.isabstract(cls): cls._BaseModelDataConnector__subclasses[ # type: ignore cls.__name__.lower() ] = cls @abstractmethod def push_model_data_to_storage(self, model_data: Any): """Pushes model data associated with the metadata of a model. :param model_data: An object containing model data associated with the metadata of a model :type model_data: Any :raises NotImplementedError: method to be implemented in subclass """ raise NotImplementedError() @abstractmethod def pull_model_updates_data(self, model_updates: Any) -> Any: """Pull Model weights that have been pushed by the clients as model updates. :param model_updates: A list of model updates :type model_updates: Any :raises NotImplementedError: method to be implemented in subclass """ raise NotImplementedError() @abstractmethod def prep_model_data_for_storage(self, data: Any) -> Any: """Preps data created by aggregate by service to be stored in the model data. :param data: The data that needs to be prepped for storage :type data: Any :raises NotImplementedError: method to be implemented in subclass """ raise NotImplementedError()

0

capitalone_repos/federated-model-aggregation/fma-core/fma_core

capitalone_repos/federated-model-aggregation/fma-core/fma_core/workflows/tasks.py

"""General aggregation tasks are created here.""" from typing import Any, Optional import fma_core from fma_core.algorithms.aggregators import common as common_aggregators from fma_core.algorithms.requirements import common as common_requirements from fma_core.conf import settings as fma_settings from fma_core.workflows.aggregator_connectors_factory import BaseAggConnector def agg_service(model_id: int) -> Optional[int]: """Runs aggregation for FMA. :param model_id: The id of the Federated Model Experiment :type model_id: int :raises ValueError: Aggregator settings are not specified in settings :raises ValueError: Aggregator type not specified in settings :return: ID of newly created ModelAggregate :rtype: int """ fma_core.setup() agg_settings = getattr(fma_settings, "AGGREGATOR_SETTINGS") if not agg_settings: raise ValueError("Aggregator settings are not specified in settings") agg_type = agg_settings.get("aggregator_connector_type", None) if agg_type is None: raise ValueError("Aggregator type not specified in settings") aggregator_connector = BaseAggConnector.create(agg_type, agg_settings) model = aggregator_connector.pull_federated_model_w_id(model_id) # retrieve current latest aggregate for the aggregate hierarchy parent_agg = aggregator_connector.pull_latest_model_aggregate(model) # filter relative to task status (PENDING | FAILED) for a model model_updates = aggregator_connector.pull_model_updates_ready_for_aggregation( model, parent_agg ) if not parent_agg: parent_agg = None if not model or not model_updates: return None # check the that the requirements are met if any requirement_str, requirement_args = aggregator_connector.pull_model_requirements( model ) requirement = None if isinstance(requirement_str, str): requirement = getattr(common_requirements, requirement_str, None) if requirement and not requirement(model, model_updates, *requirement_args): return None # set the updates to being used aggregator_connector.register_model_updates_for_aggregation(model_updates) # conduct the aggregation model_updates = aggregator_connector.pull_model_updates_registered_for_aggregation( model ) # Read in model weights for aggregation model_updates = aggregator_connector.pull_model_updates_data(model_updates) aggregator = getattr(common_aggregators, model.aggregator) results = aggregator(model, model_updates) # Turn aggregation results into file results = aggregator_connector.prep_model_data_for_storage(results) aggregate = aggregator_connector.post_new_model_aggregate( model, parent_agg, results ) aggregator_connector.register_model_update_used_in_aggregate( model_updates, aggregate ) return aggregate.id def post_agg_service_hook(task: Any): """Runs postprocessing after aggregation is complete. :param task: Object containing info on the previously ran aggregation task :type task: Any :raise ValueError: Error: aggregator settings are not specified in settings :raise ValueError: Error: aggregator type not specified in settings """ fma_core.setup() model_id = task.args[0] agg_settings = getattr(fma_settings, "AGGREGATOR_SETTINGS") if not agg_settings: raise ValueError("Error: aggregator settings are not specified in settings") agg_type = agg_settings.get("aggregator_connector_type", None) if agg_type is None: raise ValueError("Error: aggregator type not specified in settings") aggregator_connector = BaseAggConnector.create(agg_type, agg_settings) model = aggregator_connector.pull_federated_model_w_id(model_id) if not model: return model_updates = aggregator_connector.pull_model_updates_registered_for_aggregation( model ) if not model_updates: return aggregator_connector.register_model_updates_use_in_aggregation_complete( model_updates, is_successful=task.success ) def update_metadata_db() -> None: """Updates the architecture of the metadata database. :raise ValueError: aggregator settings are not specified in settings :raise ValueError: aggregator type not specified in settings """ fma_core.setup() agg_settings = getattr(fma_settings, "AGGREGATOR_SETTINGS") if not agg_settings: raise ValueError("Aggregator settings are not specified in settings") agg_type = agg_settings.get("aggregator_connector_type", None) if agg_type is None: raise ValueError("Aggregator type not specified in settings") aggregator_connector = BaseAggConnector.create(agg_type, agg_settings) aggregator_connector.update_metadata_database_arch()

0

capitalone_repos/federated-model-aggregation/fma-core/fma_core

capitalone_repos/federated-model-aggregation/fma-core/fma_core/workflows/metadata_connectors_factory.py

"""The base factory class that allows for creation of the metadata connector.""" import inspect from abc import ABC, abstractmethod from typing import Any, ClassVar, Dict, List, Optional class BaseMetadataConnector(ABC): """The metadata connector object used for connection to FMA setup.""" __subclasses = {} def __init__(self, settings: Dict): """Initialization function for the metadata connector. :param settings: The settings that will be used to initialize the metadata connector :type settings: Dict """ self.settings = settings @classmethod def create( cls, meta_connector_type: str, meta_connector_settings: Optional[Dict] = None ) -> ClassVar: """Creates subclass of metadata connector. :param meta_connector_type: The subclass of metadata connector to be created :type meta_connector_type: str :param meta_connector_settings: The settings to initialize the connector, defaults to None :type meta_connector_settings: Dict, optional :raises ValueError: meta_connector_type not in BaseMetadataConnector subclass :return: A valid subclass object of BaseMetadataConnector :rtype: ClassVar """ if meta_connector_type.lower() not in cls._BaseMetadataConnector__subclasses: raise ValueError return cls._BaseMetadataConnector__subclasses[meta_connector_type.lower()]( meta_connector_settings ) @classmethod def _register_subclass(cls) -> None: """Register a subclass for the class factory.""" if not inspect.isabstract(cls): cls._BaseMetadataConnector__subclasses[ # type: ignore cls.__name__.lower() ] = cls @abstractmethod def pull_federated_model_w_id(self, fed_model_id: int) -> Any: """Pulls a FederatedModel using its id. :param fed_model_id: The id of the FederatedModel targeted for pull :type fed_model_id: int :raises NotImplementedError: method to be implemented in subclass """ raise NotImplementedError() @abstractmethod def pull_latest_model_aggregate(self, model: Any) -> Any: """Pulls the latest ModelAggregate in a FederatedModel. :param model: FederatedModel object :type model: Any :raises NotImplementedError: method to be implemented in subclass """ raise NotImplementedError() @abstractmethod def pull_model_updates_ready_for_aggregation( self, model: Any, parent_agg: Any ) -> List[Any]: """Pulls all ModelUpdates ready to be included in an aggregation. :param model: FederatedModel object :type model: Any :param parent_agg: The parent aggregate of the ModelUpdates used :type parent_agg: Any :raises NotImplementedError: method to be implemented in subclass """ raise NotImplementedError() @abstractmethod def pull_model_requirements(self, model: Any) -> Any: """Pulls FederatedModel aggregation requirements and their args. :param model: FederatedModel object :type model: Any :raises NotImplementedError: method to be implemented in subclass """ raise NotImplementedError() @abstractmethod def register_model_updates_for_aggregation(self, model_updates: List[Any]): """Updates status of a list of ModelUpdates to register for aggregation. :param model_updates: A list of model updates :type model_updates: List[Any] :raises NotImplementedError: method to be implemented in subclass """ raise NotImplementedError() @abstractmethod def pull_model_updates_registered_for_aggregation(self, model: Any) -> List[Any]: """Pulls all ModelUpdates registered to be included in an aggregation. :param model: FederatedModel object :type model: Any :raises NotImplementedError: method to be implemented in subclass """ raise NotImplementedError() @abstractmethod def post_new_model_aggregate( self, model: Any, parent_agg: Any, results: List[Any] ) -> Any: """Creates an entry in a DB of a new ModelAggregate. :param model: FederatedModel object :type model: Any :param parent_agg: The aggregate that the ModelUpdates included were based on :type parent_agg: Any :param results: The data associated with the ModelAggregate being stored :type results: List[Any] :raises NotImplementedError: method to be implemented in subclass """ raise NotImplementedError() @abstractmethod def pull_model_updates_pending_aggregation(self, model: Any) -> List[Any]: """Pulls all ModelUpdates pending inclusion to an aggregation task. :param model: FederatedModel object :type model: Any :raises NotImplementedError: method to be implemented in subclass """ raise NotImplementedError() @abstractmethod def register_model_update_used_in_aggregate( self, model_updates: List[Any], aggregate: Any ): """Registers that a list of ModelUpdates were used in an aggregate. :param model_updates: List of model updates :type model_updates: List[Any] :param aggregate: ModelAggregate object :type aggregate: Any :raises NotImplementedError: method to be implemented in subclass """ raise NotImplementedError() @abstractmethod def register_model_updates_use_in_aggregation_complete( self, model_updates: List[Any], is_successful: Any ): """Updates status of a list of ModelUpdates to "completed" on an aggregation. :param model_updates: A list of model updates :type model_updates: List[Any] :param is_successful: Boolean value for if the aggregation task was completed successfully :type is_successful: Any :raises NotImplementedError: method to be implemented in subclass """ raise NotImplementedError() @abstractmethod def update_database(self): """Updated the database. :raises NotImplementedError: method to be implemented in subclass """ raise NotImplementedError()

0

capitalone_repos/federated-model-aggregation/fma-core/fma_core

capitalone_repos/federated-model-aggregation/fma-core/fma_core/workflows/api_handler_utils.py

"""Registry and registration functions related to the api handler factory.""" from typing import Callable _registry = {} def register() -> Callable: """Decorator for registering a function as an api_handler.""" def wrapper(fcn: Callable): """Wrapper inside the decorator for adding to the registry.""" fcn_name = fcn.__name__ if fcn_name not in _registry: _registry[fcn_name] = fcn return fcn return wrapper

0

capitalone_repos/federated-model-aggregation/fma-core/fma_core

capitalone_repos/federated-model-aggregation/fma-core/fma_core/workflows/aggregator_connectors_factory.py

"""The base factory class that allows for creation of the aggregator connector.""" import inspect from abc import ABC from typing import Any, ClassVar, Dict, List from fma_core.workflows.metadata_connectors_factory import BaseMetadataConnector from fma_core.workflows.model_data_connectors_factory import BaseModelDataConnector class BaseAggConnector(ABC): """The factory class to create the aggregator connectors.""" __subclasses = {} def __init__(self, settings: Dict): """Initialization function for the aggregation connector. :param settings: The settings that will be used to initialize the aggregation connector :type settings: Dict :raises ValueError: metadata_connector not specified in settings :raises Exception: model_data_connector not specified in settings """ # Initialize metadata connector metadata_connector_settings = settings.get("metadata_connector", {}) metadata_connector_type = metadata_connector_settings.get("type", None) if metadata_connector_type is None: raise ValueError("metadata_connector not specified in settings") self.metadata_connector = BaseMetadataConnector.create( metadata_connector_type, metadata_connector_settings ) model_data_connector_settings = settings.get("model_data_connector", {}) model_data_connector_type = model_data_connector_settings.get("type", None) if model_data_connector_type is None: raise Exception("model_data_connector not specified in settings") self.model_data_connector = BaseModelDataConnector.create( model_data_connector_type, model_data_connector_settings ) @classmethod def create( cls, agg_connector_type: str, agg_connector_settings: Dict = None ) -> ClassVar: """Creates subclass of aggregation connector. :param agg_connector_type: The subclass of aggregation connector to be created :type agg_connector_type: str :param agg_connector_settings: The settings to initialize the connector :type agg_connector_settings: Dict :raises ValueError: ValueError raised :return: A valid subclass object of BaseAggConnector :rtype: ClassVar """ if agg_connector_type.lower() not in cls._BaseAggConnector__subclasses: raise ValueError return cls._BaseAggConnector__subclasses[agg_connector_type.lower()]( agg_connector_settings ) @classmethod def _register_subclass(cls) -> None: """Register a subclass for the class factory.""" if not inspect.isabstract(cls): cls._BaseAggConnector__subclasses[ # type: ignore cls.__name__.lower() ] = cls def pull_federated_model_w_id(self, fed_model_id: int) -> Any: """Pulls a FederatedModel using its id. :param fed_model_id: The id of the FederatedModel targeted for pull :type fed_model_id: int :return: A FederatedModel object :rtype: Any """ return self.metadata_connector.pull_federated_model_w_id(fed_model_id) def pull_latest_model_aggregate(self, model: Any) -> Any: """Pulls the latest ModelAggregate in a FederatedModel. :param model: FederatedModel object :type model: Any :return: A ModelAggregate object :rtype: Any """ return self.metadata_connector.pull_latest_model_aggregate(model) def pull_model_updates_ready_for_aggregation( self, model: Any, parent_agg: Any ) -> List[Any]: """Pulls all ModelUpdates ready to be included in an aggregation. :param model: FederatedModel object :type model: Any :param parent_agg: The parent aggregate of the ModelUpdates used :type parent_agg: Any :return: A List of ModelUpdates :rtype: List[Any] """ model_updates = ( self.metadata_connector.pull_model_updates_ready_for_aggregation( model, parent_agg, ) ) return model_updates def pull_model_requirements(self, model: Any) -> Any: """Pulls FederatedModel aggregation requirements and their args. :param model: FederatedModel object :type model: Any :return: Requirements for the aggregation process :rtype: Any """ return self.metadata_connector.pull_model_requirements(model) def register_model_updates_for_aggregation(self, model_updates: List[Any]): """Updates status of a list of ModelUpdates to register for aggregation. :param model_updates: A list of model updates :type model_updates: List[Any] """ self.metadata_connector.register_model_updates_for_aggregation(model_updates) def pull_model_updates_registered_for_aggregation(self, model: Any) -> List[Any]: """Pulls all ModelUpdates registered to be included in an aggregation. :param model: FederatedModel object :type model: Any :return: A list of ModelUpdates ready for aggregation :rtype: List[Any] """ return self.metadata_connector.pull_model_updates_registered_for_aggregation( model ) def pull_model_updates_data(self, model_updates: List[Any]) -> Any: """Pull Model weights that have been pushed by the clients as model updates. :param model_updates: A list of model updates :type model_updates: List[Any] :return: A list of data used to represent the models associated with a list of Model Updates :rtype: Any """ return self.model_data_connector.pull_model_updates_data(model_updates) def prep_model_data_for_storage(self, data: List[Any]) -> Any: """Preps model data to be stored as a file object. :param data: The model data to be stored in file form :type data: List[Any] :return: The data object stored in UploadedFile format :rtype: Any """ data = self.model_data_connector.prep_model_data_for_storage(data) return data def post_new_model_aggregate( self, model: Any, parent_agg: Any, results: List[Any] ) -> Any: """Creates an entry in a DB of a new ModelAggregate. :param model: FederatedModel object :type model: Any :param parent_agg: The aggregate that the ModelUpdates included were based on :type parent_agg: Any :param results: The data associated with the ModelAggregate being stored :type results: Any :return: Object containing metadata on newly added ModelAggregate :rtype: Any """ aggregate_storage_info = self.model_data_connector.push_model_data_to_storage( results ) return self.metadata_connector.post_new_model_aggregate( model, parent_agg, aggregate_storage_info ) def pull_model_updates_pending_aggregation(self, model: Any) -> List[Any]: """Pulls all ModelUpdates pending inclusion to an aggregation task. :param model: FederatedModel object :type model: Any :return: List of ModelUpdates pulled/filtered :rtype: List[Any] """ return self.metadata_connector.pull_model_updates_pending_aggregation(model) def register_model_update_used_in_aggregate( self, model_updates: List[Any], aggregate: Any ): """Registers that a list of ModelUpdates were used in an aggregate. :param model_updates: List of model updates :type model_updates: List[Any] :param aggregate: ModelAggregate object :type aggregate: Any """ self.metadata_connector.register_model_update_used_in_aggregate( model_updates, aggregate ) def register_model_updates_use_in_aggregation_complete( self, model_updates: List[Any], is_successful: bool ): """Updates status of a list of ModelUpdates to "completed" on an aggregation. :param model_updates: A list of model updates :type model_updates: List[Any] :param is_successful: Value for if the aggregation task was completed successfully :type is_successful: bool """ self.metadata_connector.register_model_updates_use_in_aggregation_complete( model_updates, is_successful ) def register_model_updates_use_in_aggregation_failed(self, model_updates: Any): """Updates status of a list of ModelUpdates to "completed" on an aggregation. :param model_updates: A list of model updates :type model_updates: Any """ self.metadata_connector.register_model_updates_use_in_aggregation_failed( model_updates ) def update_metadata_database_arch(self): """Used to update the architecture of the metadata database.""" self.metadata_connector.update_database()

0

capitalone_repos/federated-model-aggregation/fma-core/fma_core

capitalone_repos/federated-model-aggregation/fma-core/fma_core/workflows/aggregator_utils.py

"""These functions are used to assist in the aggregator connector functionality.""" import abc from typing import Any, Dict, Tuple class AutoSubRegistrationMeta(abc.ABCMeta): """For registering subclasses.""" def __new__( mcs, clsname: str, bases: Tuple[type, ...], attrs: Dict[str, object] ) -> Any: """Create auto registration object and return new class. :param clsname: Class name of the object that is being registered :type clsname: str :param bases: A tuple containing the base classes, in the order of their occurrence in the base class list. :type bases: Tuple[type, ...] :param attrs: Attributes used to create the object :type attrs: Dict[str, object] :return: A newly created class :rtype: Any """ new_class: Any = super(AutoSubRegistrationMeta, mcs).__new__( mcs, clsname, bases, attrs ) new_class._register_subclass() return new_class

0

capitalone_repos/federated-model-aggregation/fma-core/fma_core/algorithms

capitalone_repos/federated-model-aggregation/fma-core/fma_core/algorithms/requirements/common.py

"""Used to specify requirements for the aggregation functionality to run.""" def all_clients(model, model_updates): """Requires all clients to push update before aggregation is executed. :param model: Database FederatedModel object :type model: task_queue_base.models.FederatedModel :param model_updates: Database objects containing the original weights used to initialize the shape of the layers :type model_updates: task_queue_base.models.ModelUpdate :return: A boolean assertion that indicates if all clients have pushed updates :rtype: bool """ if not set(model.clients.all()).issubset( set([update.client for update in model_updates]) ): return False return True def require_x_updates(model, model_updates, x): """Requires x clients to push update before aggregation is executed. :param model: Database FederatedModel object :type model: task_queue_base.models.FederatedModel :param model_updates: Database objects containing the original weights used to initialize the shape of the layers :type model_updates: task_queue_base.models.ModelUpdate :param x: The number of client updates needed :type x: int :return: A boolean assertion that indicates if x clients have pushed updates :rtype: bool """ if len(model_updates) < x: return False return True

0

capitalone_repos/federated-model-aggregation/fma-core/fma_core/algorithms

capitalone_repos/federated-model-aggregation/fma-core/fma_core/algorithms/aggregators/common.py

"""Functions stored here for use in model aggregation.""" import numpy as np def avg_values_if_data(model, model_updates): """ Averages values together if data exists within model_updates. :param model: Database FederatedModel object :type model: task_queue_base.models.FederatedModel :param model_updates: Database objects containing the original weights used to initialize the shape of the layers :type model_updates: task_queue_base.models.ModelUpdate :return: The average value for each update :rtype: List[Any] """ data = [update.data for update in model_updates] with np.errstate(divide="ignore", invalid="ignore"): return np.average(data, axis=0).tolist() def average_layers(model, model_updates): """Takes in the weights of multiple models and averages across layers. :param model: Database FederatedModel object :type model: task_queue_base.models.FederatedModel :param model_updates: Database objects containing the original weights used to initialize the shape of the layers :type model_updates: task_queue_base.models.ModelUpdate :returns: A weights obj that is the average of all weights across layers :rtype: List[List[Any]] """ if not model_updates: return None avg_model = [] n_models = len(model_updates) n_layers = len(model_updates[0].data) for layer_ind in range(n_layers): layers = [] for model_ind in range(n_models): layers.append(model_updates[model_ind].data[layer_ind]) avg_model.append(np.average(layers, axis=0).tolist()) return avg_model

0

capitalone_repos/federated-model-aggregation

capitalone_repos/federated-model-aggregation/connectors/README.md

# Connectors Connectors are used to connect to data sources. Connectors specify both `Metadata` and `Model Data` connector. Currently implemented connectors are: - Django - Users can create their own! ## Metadata Connector The metadata connector is used to connect all the service's components to the metadata database, which is specified by the user in the `aggregator/fma_settings.py` file. ## Model Data Connector The model data connector connects to the specified model storage location to query, load, and upload artifacts.

0