_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_30100 |
Pytest specific decorator for parametrizing estimator checks. The id of each check is set to be a pprint version of the estimator and the name of the check with its keyword arguments. This allows to use pytest -k to specify which tests to run: pytest test_check_estimators.py -k check_estimators_fit_returns_self
Par... | |
doc_30101 |
Computes the (weighted) graph of Neighbors for points in X Neighborhoods are restricted the points at a distance lower than radius. Parameters
Xarray-like of shape (n_samples, n_features), default=None
The query point or points. If not provided, neighbors of each indexed point are returned. In this case, the qu... | |
doc_30102 |
shell
Returns the shell or exterior ring of this polygon, as a LinearRing geometry.
exterior_ring
An alias for shell.
centroid
Returns a Point representing the centroid of this polygon. | |
doc_30103 |
Returns a list of ByteTensor representing the random number states of all devices. | |
doc_30104 | Return the buffer size needed for recvmsg() to receive an ancillary data item with associated data of the given length, along with any trailing padding. The buffer space needed to receive multiple items is the sum of the CMSG_SPACE() values for their associated data lengths. Raises OverflowError if length is outside th... | |
doc_30105 | Return True if it is a character device. | |
doc_30106 |
Applies a 2D convolution over a quantized 2D input composed of several input planes. See Conv2d for details and output shape. Parameters
input – quantized input tensor of shape (minibatch,in_channels,iH,iW)(\text{minibatch} , \text{in\_channels} , iH , iW)
weight – quantized filters of shape (out_channels,in_c... | |
doc_30107 |
Return the Transform applied to the children | |
doc_30108 | GridSpec(nrows, ncols[, figure, left, ...]) A grid layout to place subplots within a figure.
SubplotSpec(gridspec, num1[, num2]) The location of a subplot in a GridSpec.
GridSpecBase(nrows, ncols[, height_ratios, ...]) A base class of GridSpec that specifies the geometry of the grid that a subplot will be placed. ... | |
doc_30109 |
Compute sum of group values. Parameters
numeric_only:bool, default True
Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data.
min_count:int, default 0
The required number of valid values to perform the operation. If fewer than min_count non-NA values ... | |
doc_30110 | Possible value for SSLContext.verify_flags. In this mode, certificate revocation lists (CRLs) are not checked. By default OpenSSL does neither require nor verify CRLs. New in version 3.4. | |
doc_30111 | See Migration guide for more details. tf.compat.v1.quantization.quantized_concat, tf.compat.v1.quantized_concat
tf.quantization.quantized_concat(
concat_dim, values, input_mins, input_maxes, name=None
)
Args
concat_dim A Tensor of type int32. 0-D. The dimension along which to concatenate. Must be in the... | |
doc_30112 | DictFormatter(format_dict[, formatter]) format_dict : dictionary for format strings to be used.
ExtremeFinderSimple(nx, ny) A helper class to figure out the range of grid lines that need to be drawn.
FixedLocator(locs)
FormatterPrettyPrint([useMathText])
GridFinder(transform[, extreme_finder, ...]) transform ... | |
doc_30113 | tf.random.experimental.create_rng_state Compat aliases for migration See Migration guide for more details. tf.compat.v1.random.create_rng_state, tf.compat.v1.random.experimental.create_rng_state
tf.random.create_rng_state(
seed, alg
)
Example:
tf.random.create_rng_state(
1234, "philox")
array([1234, 0, ... | |
doc_30114 |
Return the array with the same data viewed with a different byte order. Equivalent to: arr.view(arr.dtype.newbytorder(new_order))
Changes are also made in all fields and sub-arrays of the array data type. Parameters
new_orderstring, optional
Byte order to force; a value from the byte order specifications below... | |
doc_30115 | Token value for "<<=". | |
doc_30116 | exception that pygame.midi functions and classes can raise MidiException(errno) -> None | |
doc_30117 |
Return the array with the same data viewed with a different byte order. Equivalent to: arr.view(arr.dtype.newbytorder(new_order))
Changes are also made in all fields and sub-arrays of the array data type. Parameters
new_orderstring, optional
Byte order to force; a value from the byte order specifications below... | |
doc_30118 |
Add 2D bar(s). Parameters
left1D array-like
The x coordinates of the left sides of the bars.
height1D array-like
The height of the bars.
zsfloat or 1D array-like
Z coordinate of bars; if a single value is specified, it will be used for all bars.
zdir{'x', 'y', 'z'}, default: 'z'
When plotting 2D dat... | |
doc_30119 |
Alias for get_facecolor. | |
doc_30120 | Returns whether or not the set of points in the geometry is empty. | |
doc_30121 |
Bases: matplotlib.patches.ArrowStyle._Curve An arrow with filled triangle head at the end. Parameters
head_lengthfloat, default: 0.4
Length of the arrow head, relative to mutation_scale.
head_widthfloat, default: 0.2
Width of the arrow head, relative to mutation_scale.
widthAfloat, default: 1.0
Width of... | |
doc_30122 |
Bases: collections.abc.MutableMapping The container of all Spines in an Axes. The interface is dict-like mapping names (e.g. 'left') to Spine objects. Additionally it implements some pandas.Series-like features like accessing elements by attribute: spines['top'].set_visible(False)
spines.top.set_visible(False)
Multi... | |
doc_30123 | The maximum length (in bytes) of the field. The maximum length is enforced in Django’s validation using MaxLengthValidator. | |
doc_30124 |
Return the visibility. | |
doc_30125 | When a BabylMessage instance’s original headers are modified, the visible headers are not automatically modified to correspond. This method updates the visible headers as follows: each visible header with a corresponding original header is set to the value of the original header, each visible header without a correspon... | |
doc_30126 | Acquire a semaphore. If the internal counter is greater than zero, decrement it by one and return True immediately. If it is zero, wait until a release() is called and return True. | |
doc_30127 |
Sums the product of the elements of the input operands along dimensions specified using a notation based on the Einstein summation convention. Einsum allows computing many common multi-dimensional linear algebraic array operations by representing them in a short-hand format based on the Einstein summation convention,... | |
doc_30128 | Return the square root of the argument to full precision. | |
doc_30129 | See Migration guide for more details. tf.compat.v1.config.experimental.get_device_details
tf.config.experimental.get_device_details(
device
)
This API takes in a tf.config.PhysicalDevice returned by tf.config.list_physical_devices. It returns a dict with string keys containing various details about the device. E... | |
doc_30130 |
Class to convert formats, names, titles description to a dtype. After constructing the format_parser object, the dtype attribute is the converted data-type: dtype = format_parser(formats, names, titles).dtype Parameters
formatsstr or list of str
The format description, either specified as a string with comma-se... | |
doc_30131 | tf.compat.v1.nn.conv3d_transpose(
value, filter=None, output_shape=None, strides=None, padding='SAME',
data_format='NDHWC', name=None, input=None, filters=None,
dilations=None
)
This operation is sometimes called "deconvolution" after (Zeiler et al., 2010), but is really the transpose (gradient) of conv3d ... | |
doc_30132 |
Set the extra representation of the module To print customized extra information, you should re-implement this method in your own modules. Both single-line and multi-line strings are acceptable. | |
doc_30133 |
foo = Foo()
app = Flask(__name__)
app.config.update(
FOO_BAR='baz',
FOO_SPAM='eggs',
)
foo.init_app(app)
Building Extensions While the PyPI contains many Flask extensions, you may not find an extension that fits your need. If this is the case, you can create your own. Read Flask Extension Development to dev... | |
doc_30134 | See Migration guide for more details. tf.compat.v1.raw_ops.ResourceSparseApplyAdagrad
tf.raw_ops.ResourceSparseApplyAdagrad(
var, accum, lr, grad, indices, use_locking=False, update_slots=True, name=None
)
That is for rows we have grad for, we update var and accum as follows: accum += grad * grad var -= lr * gra... | |
doc_30135 |
Defines a formula for differentiating the operation. This function is to be overridden by all subclasses. It must accept a context ctx as the first argument, followed by as many outputs did forward() return, and it should return as many tensors, as there were inputs to forward(). Each argument is the gradient w.r.t t... | |
doc_30136 |
Soft Voting/Majority Rule classifier for unfitted estimators. Read more in the User Guide. New in version 0.17. Parameters
estimatorslist of (str, estimator) tuples
Invoking the fit method on the VotingClassifier will fit clones of those original estimators that will be stored in the class attribute self.esti... | |
doc_30137 |
Alias for set_linestyle. | |
doc_30138 | See Migration guide for more details. tf.compat.v1.group
tf.group(
*inputs, **kwargs
)
When this op finishes, all ops in inputs have finished. This op has no output.
Note: In TensorFlow 2 with eager and/or Autograph, you should not require this method, as code executes in your expected order. Only use tf.group ... | |
doc_30139 |
Returns whether the kernel is stationary. | |
doc_30140 | See Migration guide for more details. tf.compat.v1.random.stateless_poisson
tf.random.stateless_poisson(
shape, seed, lam, dtype=tf.dtypes.int32, name=None
)
The generated values follow a Poisson distribution with specified rate parameter. This is a stateless version of tf.random.poisson: if run twice with the s... | |
doc_30141 | class sklearn.feature_extraction.image.PatchExtractor(*, patch_size=None, max_patches=None, random_state=None) [source]
Extracts patches from a collection of images Read more in the User Guide. New in version 0.9. Parameters
patch_sizetuple of int (patch_height, patch_width), default=None
The dimensions of on... | |
doc_30142 | Get a resource from a package. This is a wrapper for the loader get_data API. The package argument should be the name of a package, in standard module format (foo.bar). The resource argument should be in the form of a relative filename, using / as the path separator. The parent directory name .. is not allowed, and nor... | |
doc_30143 |
Roll provided date backward to next offset only if not on offset. Returns
TimeStamp
Rolled timestamp if not on offset, otherwise unchanged timestamp. | |
doc_30144 |
Draw samples from a Gamma distribution. Samples are drawn from a Gamma distribution with specified parameters, shape (sometimes designated “k”) and scale (sometimes designated “theta”), where both parameters are > 0. Note New code should use the gamma method of a default_rng() instance instead; please see the Quick ... | |
doc_30145 | Return the encoding of the message catalog file. | |
doc_30146 | See torch.mm() | |
doc_30147 | This exception is raised if source and destination in copyfile() are the same file. New in version 3.4. | |
doc_30148 |
Check if coefficients match. New in version 1.6.0. Parameters
otherclass instance
The other class must have the coef attribute. Returns
boolboolean
True if the coefficients are the same, False otherwise. | |
doc_30149 | tf.nn.batch_norm_with_global_normalization(
input, mean, variance, beta, gamma, variance_epsilon, scale_after_normalization,
name=None
)
This op is deprecated. See tf.nn.batch_normalization.
Args
input A 4D input Tensor.
mean A 1D mean Tensor with size matching the last dimension of t. This is t... | |
doc_30150 | tf.compat.v1.scatter_sub(
ref, indices, updates, use_locking=False, name=None
)
# Scalar indices
ref[indices, ...] -= updates[...]
# Vector indices (for each i)
ref[indices[i], ...] -= updates[i, ...]
# High rank indices (for each i, ..., j)
ref[indices[i, ..., j], ...] -= updates[i, ..., j, ...]
This operation... | |
doc_30151 | The bytes which represent the bytecode version number. If you need help with loading/writing bytecode then consider importlib.abc.SourceLoader. New in version 3.4. | |
doc_30152 | Represents the C signed long long datatype. The constructor accepts an optional integer initializer; no overflow checking is done. | |
doc_30153 | See Migration guide for more details. tf.compat.v1.signal.vorbis_window
tf.signal.vorbis_window(
window_length, dtype=tf.dtypes.float32, name=None
)
Args
window_length A scalar Tensor indicating the window length to generate.
dtype The data type to produce. Must be a floating point type.
name ... | |
doc_30154 | Enter echo mode. In echo mode, each character input is echoed to the screen as it is entered. | |
doc_30155 | See Migration guide for more details. tf.compat.v1.cholesky_solve, tf.compat.v1.linalg.cholesky_solve
tf.linalg.cholesky_solve(
chol, rhs, name=None
)
Specifically, returns X from A X = RHS, where A = L L^T, L is the chol arg and RHS is the rhs arg. # Solve 10 separate 2x2 linear systems:
A = ... # shape 10 x 2 ... | |
doc_30156 | Subclass of unittest.SkipTest. Raised when a resource (such as a network connection) is not available. Raised by the requires() function. | |
doc_30157 | See Migration guide for more details. tf.compat.v1.keras.backend.set_floatx
tf.keras.backend.set_floatx(
value
)
Note: It is not recommended to set this to float16 for training, as this will likely cause numeric stability issues. Instead, mixed precision, which is using a mix of float16 and float32, can be used... | |
doc_30158 |
Getter for the precision matrix. Returns
precision_array-like of shape (n_features, n_features)
The precision matrix associated to the current covariance object. | |
doc_30159 | alias of werkzeug.formparser.FormDataParser | |
doc_30160 |
Standardize a dataset along any axis Center to the median and component wise scale according to the interquartile range. Read more in the User Guide. Parameters
X{array-like, sparse matrix} of shape (n_sample, n_features)
The data to center and scale.
axisint, default=0
axis used to compute the medians and ... | |
doc_30161 | Django view for the model instance addition page. See note below. | |
doc_30162 |
Set a label that will be displayed in the legend. Parameters
sobject
s will be converted to a string by calling str. | |
doc_30163 | os.RTLD_NOW
os.RTLD_GLOBAL
os.RTLD_LOCAL
os.RTLD_NODELETE
os.RTLD_NOLOAD
os.RTLD_DEEPBIND
Flags for use with the setdlopenflags() and getdlopenflags() functions. See the Unix manual page dlopen(3) for what the different flags mean. New in version 3.3. | |
doc_30164 |
Similar to add_library, but the specified library is installed. Most C libraries used with distutils are only used to build python extensions, but libraries built through this method will be installed so that they can be reused by third-party packages. Parameters
namestr
Name of the installed library.
sources... | |
doc_30165 |
Return a context manager for temporarily changing rcParams. Parameters
rcdict
The rcParams to temporarily set.
fnamestr or path-like
A file with Matplotlib rc settings. If both fname and rc are given, settings from rc take precedence. See also The matplotlibrc file
Examples Passing explicit values v... | |
doc_30166 |
Return whether image composition by Matplotlib should be skipped. Raster backends should usually return False (letting the C-level rasterizer take care of image composition); vector backends should usually return not rcParams["image.composite_image"]. | |
doc_30167 |
Set the parameters of this estimator. The method works on simple estimators as well as on nested objects (such as Pipeline). The latter have parameters of the form <component>__<parameter> so that it’s possible to update each component of a nested object. Parameters
**paramsdict
Estimator parameters. Returns... | |
doc_30168 | Concrete implementation of importlib.abc.Loader.load_module() where specifying the name of the module to load is optional. Deprecated since version 3.6: Use importlib.abc.Loader.exec_module() instead. | |
doc_30169 | See Migration guide for more details. tf.compat.v1.raw_ops.BoostedTreesCalculateBestFeatureSplit
tf.raw_ops.BoostedTreesCalculateBestFeatureSplit(
node_id_range, stats_summary, l1, l2, tree_complexity, min_node_weight,
logits_dimension, split_type='inequality', name=None
)
The split information is the best t... | |
doc_30170 | The PopupMenu widget can be used as a replacement of the tk_popup command. The advantage of the Tix PopupMenu widget is it requires less application code to manipulate. | |
doc_30171 | tkinter.messagebox.showerror(title=None, message=None, **options) | |
doc_30172 | The get_exclude method is given the HttpRequest and the obj being edited (or None on an add form) and is expected to return a list of fields, as described in ModelAdmin.exclude. | |
doc_30173 | draw a Bezier curve bezier(surface, points, steps, color) -> None Draws a Bézier curve on the given surface.
Parameters:
surface (Surface) -- surface to draw on
points (tuple(coordinate) or list(coordinate)) -- a sequence of 3 or more (x, y) coordinates used to form a curve, where each coordinate in the sequ... | |
doc_30174 |
Aggregate using one or more operations over the specified axis. Parameters
func:function, str, list or dict
Function to use for aggregating the data. If a function, must either work when passed a Series/Dataframe or when passed to Series/Dataframe.apply. Accepted combinations are: function string function name... | |
doc_30175 | if set to False accessing properties on the response object will not try to consume the response iterator and convert it into a list. Changelog New in version 0.6.2: That attribute was previously called implicit_seqence_conversion. (Notice the typo). If you did use this feature, you have to adapt your code to the name... | |
doc_30176 |
Imputation transformer for completing missing values. Read more in the User Guide. New in version 0.20: SimpleImputer replaces the previous sklearn.preprocessing.Imputer estimator which is now removed. Parameters
missing_valuesint, float, str, np.nan or None, default=np.nan
The placeholder for the missing val... | |
doc_30177 | Receive normal data (up to bufsize bytes) and ancillary data from the socket. The ancbufsize argument sets the size in bytes of the internal buffer used to receive the ancillary data; it defaults to 0, meaning that no ancillary data will be received. Appropriate buffer sizes for ancillary data can be calculated using C... | |
doc_30178 | See Migration guide for more details. tf.compat.v1.OptionalSpec, tf.compat.v1.data.experimental.OptionalStructure
tf.OptionalSpec(
element_spec
)
For instance, tf.OptionalSpec can be used to define a tf.function that takes tf.experimental.Optional as an input argument:
@tf.function(input_signature=[tf.OptionalS... | |
doc_30179 | This closes the database connection. Note that this does not automatically call commit(). If you just close your database connection without calling commit() first, your changes will be lost! | |
doc_30180 | A class attribute describing the function that will be generated. Specifically, the function will be interpolated as the function placeholder within template. Defaults to None. | |
doc_30181 | Return system configuration information relevant to an open file. name specifies the configuration value to retrieve; it may be a string which is the name of a defined system value; these names are specified in a number of standards (POSIX.1, Unix 95, Unix 98, and others). Some platforms define additional names as well... | |
doc_30182 |
A custom setuptools build extension . This setuptools.build_ext subclass takes care of passing the minimum required compiler flags (e.g. -std=c++14) as well as mixed C++/CUDA compilation (and support for CUDA files in general). When using BuildExtension, it is allowed to supply a dictionary for extra_compile_args (ra... | |
doc_30183 |
Return the visibility. | |
doc_30184 | display video captured live from an attached camera camera.main() -> None A simple live video player, it uses the first available camera it finds on the system. | |
doc_30185 |
Return the clip rectangle as a Bbox instance. | |
doc_30186 |
Context manager for global scikit-learn configuration Parameters
assume_finitebool, default=False
If True, validation for finiteness will be skipped, saving time, but leading to potential crashes. If False, validation for finiteness will be performed, avoiding error. Global default: False.
working_memoryint, ... | |
doc_30187 |
Set the sketch parameters. Parameters
scalefloat, optional
The amplitude of the wiggle perpendicular to the source line, in pixels. If scale is None, or not provided, no sketch filter will be provided.
lengthfloat, optional
The length of the wiggle along the line, in pixels (default 128.0)
randomnessfloat... | |
doc_30188 | See Migration guide for more details. tf.compat.v1.raw_ops.Cumprod
tf.raw_ops.Cumprod(
x, axis, exclusive=False, reverse=False, name=None
)
By default, this op performs an inclusive cumprod, which means that the first element of the input is identical to the first element of the output: tf.cumprod([a, b, c]) # ... | |
doc_30189 |
Select a scale for the range from vmin to vmax. Subclasses should override this method to change locator behaviour. | |
doc_30190 | tf.compat.v1.batch_to_space(
input, crops, block_size, name=None, block_shape=None
)
This is a legacy version of the more general BatchToSpaceND. Rearranges (permutes) data from batch into blocks of spatial data, followed by cropping. This is the reverse transformation of SpaceToBatch. More specifically, this op o... | |
doc_30191 | Fit the hierarchical clustering from features or distance matrix, and return cluster labels. Parameters
Xarray-like of shape (n_samples, n_features) or (n_samples, n_samples)
Training instances to cluster, or distances between instances if affinity='precomputed'.
yIgnored
Not used, present here for API consis... | |
doc_30192 | Turn on attribute A_STANDOUT. | |
doc_30193 |
Convert y using the unit type of the yaxis. If the artist is not in contained in an Axes or if the yaxis does not have units, y itself is returned. | |
doc_30194 | Module email
Represent and manipulate messages. Mailbox objects
class mailbox.Mailbox
A mailbox, which may be inspected and modified. The Mailbox class defines an interface and is not intended to be instantiated. Instead, format-specific subclasses should inherit from Mailbox and your code should instantiate a... | |
doc_30195 | Uses Pillow to ensure that value.name (value is a File) has a valid image extension. | |
doc_30196 | A callable object or function. Calls to the partial object will be forwarded to func with new arguments and keywords. | |
doc_30197 | tf.initializers.serialize Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.initializers.serialize
tf.keras.initializers.serialize(
initializer
) | |
doc_30198 | tf.compat.v1.metrics.true_positives_at_thresholds(
labels, predictions, thresholds, weights=None, metrics_collections=None,
updates_collections=None, name=None
)
If weights is None, weights default to 1. Use weights of 0 to mask values.
Args
labels A Tensor whose shape matches predictions. Will be cas... | |
doc_30199 | Starts the listener. This starts up a background thread to monitor the queue for LogRecords to process. |
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