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doc_2000
Return a list of the child Artists.
doc_2001
Insert a given module before a given index in the list. Parameters index (int) – index to insert. module (nn.Module) – module to insert
doc_2002
operator.le(a, b) operator.eq(a, b) operator.ne(a, b) operator.ge(a, b) operator.gt(a, b) operator.__lt__(a, b) operator.__le__(a, b) operator.__eq__(a, b) operator.__ne__(a, b) operator.__ge__(a, b) operator.__gt__(a, b) Perform “rich comparisons” between a and b. Specifically, lt(a, b) is equiva...
doc_2003
Some unspecified syntax error was encountered.
doc_2004
Roll provided date forward to next offset only if not on offset. Returns TimeStamp Rolled timestamp if not on offset, otherwise unchanged timestamp.
doc_2005
DateOffset increments between the last business day of the year. Examples >>> from pandas.tseries.offsets import BYearEnd >>> ts = pd.Timestamp('2020-05-24 05:01:15') >>> ts - BYearEnd() Timestamp('2019-12-31 05:01:15') >>> ts + BYearEnd() Timestamp('2020-12-31 05:01:15') >>> ts + BYearEnd(3) Timestamp('2022-12-30 0...
doc_2006
This method takes one parameter, the name of a method implemented by the XML-RPC server. It returns a documentation string describing the use of that method. If no such string is available, an empty string is returned. The documentation string may contain HTML markup.
doc_2007
See Migration guide for more details. tf.compat.v1.raw_ops.DecodeBmp tf.raw_ops.DecodeBmp( contents, channels=0, name=None ) The attr channels indicates the desired number of color channels for the decoded image. Accepted values are: 0: Use the number of channels in the BMP-encoded image. 3: output an RGB image...
doc_2008
Return an iterable over the named items within the package. The iterable returns str resources (e.g. files) and non-resources (e.g. directories). The iterable does not recurse into subdirectories. package is either a name or a module object which conforms to the Package requirements.
doc_2009
class str(object=b'', encoding='utf-8', errors='strict') Return a str version of object. See str() for details. str is the built-in string class. For general information about strings, see Text Sequence Type — str.
doc_2010
Returns True if x is a qNaN or sNaN; otherwise returns False.
doc_2011
Copy an array to a new surface make_surface(array) -> Surface Create a new Surface that best resembles the data and format on the array. The array can be 2D or 3D with any sized integer values. Function make_surface uses the array struct interface to acquire array properties, so is not limited to just NumPy arrays. S...
doc_2012
Return the path to which the symbolic link points (as returned by os.readlink()): >>> p = Path('mylink') >>> p.symlink_to('setup.py') >>> p.readlink() PosixPath('setup.py') New in version 3.9.
doc_2013
Draw samples from the Laplace or double exponential distribution with specified location (or mean) and scale (decay). The Laplace distribution is similar to the Gaussian/normal distribution, but is sharper at the peak and has fatter tails. It represents the difference between two independent, identically distributed ...
doc_2014
Format the traceback as a list of lines with newlines. Use the linecache module to retrieve lines from the source code. If limit is set, format the limit most recent frames if limit is positive. Otherwise, format the abs(limit) oldest frames. If most_recent_first is True, the order of the formatted frames is reversed, ...
doc_2015
Alias for get_facecolor.
doc_2016
Owner has write permission.
doc_2017
This is a required argument. Specifies the underlying data type and behavior for the array. It should be an instance of a subclass of Field. For example, it could be an IntegerField or a CharField. Most field types are permitted, with the exception of those handling relational data (ForeignKey, OneToOneField and ManyTo...
doc_2018
Add a callback function that will be called whenever one of the Artist's properties changes. Parameters funccallable The callback function. It must have the signature: def func(artist: Artist) -> Any where artist is the calling Artist. Return values may exist but are ignored. Returns int The observer id ...
doc_2019
Set the artist's clip path. Parameters pathPatch or Path or TransformedPath or None The clip path. If given a Path, transform must be provided as well. If None, a previously set clip path is removed. transformTransform, optional Only used if path is a Path, in which case the given Path is converted to a Tra...
doc_2020
Set the path effects. Parameters path_effectsAbstractPathEffect
doc_2021
RGB to YIQ color space conversion. Parameters rgb(…, 3) array_like The image in RGB format. Final dimension denotes channels. Returns out(…, 3) ndarray The image in YIQ format. Same dimensions as input. Raises ValueError If rgb is not at least 2-D with shape (…, 3).
doc_2022
If you run f2py with no arguments, and the line numpy Version at the end matches the NumPy version printed from python -m numpy.f2py, then you can use the shorter version. If not, or if you cannot run f2py, you should replace all calls to f2py here with the longer version. Command f2py When used as a command line to...
doc_2023
sklearn.metrics.classification_report(y_true, y_pred, *, labels=None, target_names=None, sample_weight=None, digits=2, output_dict=False, zero_division='warn') [source] Build a text report showing the main classification metrics. Read more in the User Guide. Parameters y_true1d array-like, or label indicator arra...
doc_2024
Rearranges the elements in the array in such a way that the value of the element in kth position is in the position it would be in a sorted array. All elements smaller than the kth element are moved before this element and all equal or greater are moved behind it. The ordering of the elements in the two partitions is...
doc_2025
Create a RGBA representation of a gray-level image. Parameters imagearray_like Input image. alphaarray_like, optional Alpha channel of the output image. It may be a scalar or an array that can be broadcast to image. If not specified it is set to the maximum limit corresponding to the image dtype. Returns...
doc_2026
Raised for module specific errors.
doc_2027
Sends a tensor asynchronously. Parameters tensor (Tensor) – Tensor to send. dst (int) – Destination rank. group (ProcessGroup, optional) – The process group to work on. If None, the default process group will be used. tag (int, optional) – Tag to match send with remote recv Returns A distributed request obj...
doc_2028
tf.lookup.StaticVocabularyTable( initializer, num_oov_buckets, lookup_key_dtype=None, name=None ) For example, if an instance of StaticVocabularyTable is initialized with a string-to-id initializer that maps: init = tf.lookup.KeyValueTensorInitializer( keys=tf.constant(['emerson', 'lake', 'palmer']), valu...
doc_2029
Set the path effects. Parameters path_effectsAbstractPathEffect
doc_2030
Control behavior of major tick locators. Because the locator is involved in autoscaling, autoscale_view is called automatically after the parameters are changed. Parameters axis{'both', 'x', 'y'}, default: 'both' The axis on which to operate. tightbool or None, optional Parameter passed to autoscale_view. D...
doc_2031
A base view for displaying a form. It is not intended to be used directly, but rather as a parent class of the django.views.generic.edit.FormView or other views displaying a form. Ancestors (MRO) This view inherits methods and attributes from the following views: django.views.generic.edit.FormMixin django.views.generi...
doc_2032
os.POSIX_FADV_SEQUENTIAL os.POSIX_FADV_RANDOM os.POSIX_FADV_NOREUSE os.POSIX_FADV_WILLNEED os.POSIX_FADV_DONTNEED Flags that can be used in advice in posix_fadvise() that specify the access pattern that is likely to be used. Availability: Unix. New in version 3.3.
doc_2033
See torch.tile()
doc_2034
Computes the zeroth order modified Bessel function of the first kind for each element of input. outi=I0(inputi)=∑k=0∞(inputi2/4)k(k!)2\text{out}_{i} = I_0(\text{input}_{i}) = \sum_{k=0}^{\infty} \frac{(\text{input}_{i}^2/4)^k}{(k!)^2} Parameters input (Tensor) – the input tensor Keyword Arguments out (Tensor, op...
doc_2035
Log at WARNING level if locs is longer than Locator.MAXTICKS. This is intended to be called immediately before returning locs from __call__ to inform users in case their Locator returns a huge number of ticks, causing Matplotlib to run out of memory. The "strange" name of this method dates back to when it would raise...
doc_2036
Plot identical parallel lines at the given positions. This type of plot is commonly used in neuroscience for representing neural events, where it is usually called a spike raster, dot raster, or raster plot. However, it is useful in any situation where you wish to show the timing or position of multiple sets of discr...
doc_2037
The form Field instance from the form class that this BoundField wraps.
doc_2038
Write buf to the SSL socket and return the number of bytes written. The buf argument must be an object supporting the buffer interface. Raise SSLWantReadError or SSLWantWriteError if the socket is non-blocking and the write would block. As at any time a re-negotiation is possible, a call to write() can also cause read ...
doc_2039
Return True if the server is accepting new connections. New in version 3.7.
doc_2040
'blogs.blog': lambda o: "/blogs/%s/" % o.slug, 'news.story': lambda o: "/stories/%s/%s/" % (o.pub_year, o.slug), } The model name used in this setting should be all lowercase, regardless of the case of the actual model class name. ADMINS Default: [] (Empty list) A list of all the people who get code error noti...
doc_2041
Applies the hardswish function, element-wise, as described in the paper: Searching for MobileNetV3. Hardswish(x)={0if x≤−3,xif x≥+3,x⋅(x+3)/6otherwise\text{Hardswish}(x) = \begin{cases} 0 & \text{if~} x \le -3, \\ x & \text{if~} x \ge +3, \\ x \cdot (x + 3) /6 & \text{otherwise} \end{cases} See Hardswish for more ...
doc_2042
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_2043
See Migration guide for more details. tf.compat.v1.raw_ops.BroadcastTo tf.raw_ops.BroadcastTo( input, shape, name=None ) Broadcasting is the process of making arrays to have compatible shapes for arithmetic operations. Two shapes are compatible if for each dimension pair they are either equal or one of them is o...
doc_2044
See Migration guide for more details. tf.compat.v1.raw_ops.LoadTPUEmbeddingAdadeltaParametersGradAccumDebug tf.raw_ops.LoadTPUEmbeddingAdadeltaParametersGradAccumDebug( parameters, accumulators, updates, gradient_accumulators, num_shards, shard_id, table_id=-1, table_name='', config='', name=None ) An op tha...
doc_2045
See Migration guide for more details. tf.compat.v1.raw_ops.AllToAll tf.raw_ops.AllToAll( input, group_assignment, concat_dimension, split_dimension, split_count, name=None ) On each replica, the input is split into split_count blocks along split_dimension and send to the other replicas given group_assignment...
doc_2046
Recall the first view and position from the stack.
doc_2047
class sklearn.neighbors.KNeighborsTransformer(*, mode='distance', n_neighbors=5, algorithm='auto', leaf_size=30, metric='minkowski', p=2, metric_params=None, n_jobs=1) [source] Transform X into a (weighted) graph of k nearest neighbors The transformed data is a sparse graph as returned by kneighbors_graph. Read more ...
doc_2048
returns True if pygame is currently initialized get_init() -> bool Returns True if pygame is currently initialized. New in pygame 1.9.5.
doc_2049
Return boolean Series equivalent to left <= series <= right. This function returns a boolean vector containing True wherever the corresponding Series element is between the boundary values left and right. NA values are treated as False. Parameters left:scalar or list-like Left boundary. right:scalar or list-l...
doc_2050
If a function (either a view or any regular callback) in your code uses local variables susceptible to contain sensitive information, you may prevent the values of those variables from being included in error reports using the sensitive_variables decorator: from django.views.decorators.debug import sensitive_variables ...
doc_2051
See Migration guide for more details. tf.compat.v1.ragged.map_flat_values tf.ragged.map_flat_values( op, *args, **kwargs ) Replaces any RaggedTensor in args or kwargs with its flat_values tensor, and then calls op. Returns a RaggedTensor that is constructed from the input RaggedTensors' nested_row_splits and the...
doc_2052
Return the text rotation mode.
doc_2053
Return a tuple in the form (etag, is_weak). If there is no ETag the return value is (None, None). Return type Union[Tuple[str, bool], Tuple[None, None]]
doc_2054
Transform via the mapping y=11+exp⁡(−x)y = \frac{1}{1 + \exp(-x)} and x=logit(y)x = \text{logit}(y) .
doc_2055
New view of array with the same data. Note Passing None for dtype is different from omitting the parameter, since the former invokes dtype(None) which is an alias for dtype('float_'). Parameters dtypedata-type or ndarray sub-class, optional Data-type descriptor of the returned view, e.g., float32 or int16. Om...
doc_2056
Return series instance that has the specified roots. Returns a series representing the product (x - r[0])*(x - r[1])*...*(x - r[n-1]), where r is a list of roots. Parameters rootsarray_like List of roots. domain{[], None, array_like}, optional Domain for the resulting series. If None the domain is the inter...
doc_2057
Computes a partial inverse of MaxPool3d. See MaxUnpool3d for details.
doc_2058
Returns the 1-based index of the first object on the page, relative to all of the objects in the paginator’s list. For example, when paginating a list of 5 objects with 2 objects per page, the second page’s start_index() would return 3.
doc_2059
tf.nn.sparse_softmax_cross_entropy_with_logits( labels, logits, name=None ) Measures the probability error in discrete classification tasks in which the classes are mutually exclusive (each entry is in exactly one class). For example, each CIFAR-10 image is labeled with one and only one label: an image can be a do...
doc_2060
Compute precision, recall, F-measure and support for each class. The precision is the ratio tp / (tp + fp) where tp is the number of true positives and fp the number of false positives. The precision is intuitively the ability of the classifier not to label as positive a sample that is negative. The recall is the rat...
doc_2061
Begin autoincrement mode: schedules a recurring timer event that calls Progressbar.step() every interval milliseconds. If omitted, interval defaults to 50 milliseconds.
doc_2062
Gets or sets whether the font should be rendered in (faked) bold. bold -> bool Whether the font should be rendered in bold. When set to True, this enables the bold rendering of text. This is a fake stretching of the font that doesn't look good on many font types. If possible load the font from a real bold font file. ...
doc_2063
See Migration guide for more details. tf.compat.v1.raw_ops.Reshape tf.raw_ops.Reshape( tensor, shape, name=None ) Given tensor, this operation returns a tensor that has the same values as tensor with shape shape. If one component of 1-D tensor shape is the special value -1, the size of that dimension is computed...
doc_2064
Convert a wait status to an exit code. On Unix: If the process exited normally (if WIFEXITED(status) is true), return the process exit status (return WEXITSTATUS(status)): result greater than or equal to 0. If the process was terminated by a signal (if WIFSIGNALED(status) is true), return -signum where signum is the n...
doc_2065
Get or set the x limits of the current axes. Call signatures: left, right = xlim() # return the current xlim xlim((left, right)) # set the xlim to left, right xlim(left, right) # set the xlim to left, right If you do not specify args, you can pass left or right as kwargs, i.e.: xlim(right=3) # adjust the rig...
doc_2066
See torch.diff()
doc_2067
A parameter entity reference was found where it was not allowed.
doc_2068
stat.FILE_ATTRIBUTE_COMPRESSED stat.FILE_ATTRIBUTE_DEVICE stat.FILE_ATTRIBUTE_DIRECTORY stat.FILE_ATTRIBUTE_ENCRYPTED stat.FILE_ATTRIBUTE_HIDDEN stat.FILE_ATTRIBUTE_INTEGRITY_STREAM stat.FILE_ATTRIBUTE_NORMAL stat.FILE_ATTRIBUTE_NOT_CONTENT_INDEXED stat.FILE_ATTRIBUTE_NO_SCRUB_DATA stat.FILE_ATTRIBUTE...
doc_2069
Fill the main diagonal of the given array of any dimensionality. For an array a with a.ndim >= 2, the diagonal is the list of locations with indices a[i, ..., i] all identical. This function modifies the input array in-place, it does not return a value. Parameters aarray, at least 2-D. Array whose diagonal is t...
doc_2070
Encode a message header into an RFC-compliant format, possibly wrapping long lines and encapsulating non-ASCII parts in base64 or quoted-printable encodings. Optional splitchars is a string containing characters which should be given extra weight by the splitting algorithm during normal header wrapping. This is in very...
doc_2071
tf.experimental.numpy.empty_like( a, dtype=None ) See the NumPy documentation for numpy.empty_like.
doc_2072
Return an object with matching indices as other object. Conform the object to the same index on all axes. Optional filling logic, placing NaN in locations having no value in the previous index. A new object is produced unless the new index is equivalent to the current one and copy=False. Parameters other:Object o...
doc_2073
Update the pixel positions of the annotated point and the text.
doc_2074
operator.__iadd__(a, b) a = iadd(a, b) is equivalent to a += b.
doc_2075
See Migration guide for more details. tf.compat.v1.debugging.assert_rank_at_least tf.compat.v1.assert_rank_at_least( x, rank, data=None, summarize=None, message=None, name=None ) Example of adding a dependency to an operation: with tf.control_dependencies([tf.compat.v1.assert_rank_at_least(x, 2)]): output = tf...
doc_2076
Set whether object should be drawn with antialiased rendering.
doc_2077
Check if an object appears to be a valid element object. element is an element instance. Return True if this is an element object.
doc_2078
Get parameters for this estimator. Parameters deepbool, default=True If True, will return the parameters for this estimator and contained subobjects that are estimators. Returns paramsdict Parameter names mapped to their values.
doc_2079
Return the hyperbolic sine of x.
doc_2080
Floor divide self by other in-place.
doc_2081
Adds an item to the feed. All args are expected to be strings except pubdate and updateddate, which are datetime.datetime objects, and enclosures, which is a list of Enclosure instances.
doc_2082
Return True if the object is a class, whether built-in or created in Python code.
doc_2083
Perform RLE-decompression on the data, as per the binhex4 standard. The algorithm uses 0x90 after a byte as a repeat indicator, followed by a count. A count of 0 specifies a byte value of 0x90. The routine returns the decompressed data, unless data input data ends in an orphaned repeat indicator, in which case the Inco...
doc_2084
'blogs.blog': lambda o: "/blogs/%s/" % o.slug, 'news.story': lambda o: "/stories/%s/%s/" % (o.pub_year, o.slug), } The model name used in this setting should be all lowercase, regardless of the case of the actual model class name. ADMINS Default: [] (Empty list) A list of all the people who get code error noti...
doc_2085
Used for moving to next business day.
doc_2086
Return self<=value.
doc_2087
Unpacks and returns a variable length byte stream, similarly to unpack_string().
doc_2088
This function is called when the timeout attribute has been set to a value other than None and the timeout period has passed with no requests being received. The default action for forking servers is to collect the status of any child processes that have exited, while in threading servers this method does nothing.
doc_2089
Saves an object to a disk file. See also: saving-loading-tensors Parameters obj – saved object f – a file-like object (has to implement write and flush) or a string or os.PathLike object containing a file name pickle_module – module used for pickling metadata and objects pickle_protocol – can be specified to o...
doc_2090
Converts a function decorator into a method decorator. It can be used to decorate methods or classes; in the latter case, name is the name of the method to be decorated and is required. decorator may also be a list or tuple of functions. They are wrapped in reverse order so that the call order is the order in which t...
doc_2091
Get a description for a single group group. If more than one group matches (if ‘group’ is a real wildmat string), return the first match. If no group matches, return an empty string. This elides the response code from the server. If the response code is needed, use descriptions().
doc_2092
See Migration guide for more details. tf.compat.v1.nn.compute_accidental_hits tf.nn.compute_accidental_hits( true_classes, sampled_candidates, num_true, seed=None, name=None ) In Candidate Sampling, this operation facilitates virtually removing sampled classes which happen to match target classes. This is done i...
doc_2093
Called when the socket is closed.
doc_2094
See Migration guide for more details. tf.compat.v1.saved_model.signature_def_utils.is_valid_signature tf.compat.v1.saved_model.is_valid_signature( signature_def )
doc_2095
tf.compat.v1.debugging.assert_shapes( shapes, data=None, summarize=None, message=None, name=None ) This Op checks that a collection of tensors shape relationships satisfies given constraints. Example: n = 10 q = 3 d = 7 x = tf.zeros([n,q]) y = tf.ones([n,d]) param = tf.Variable([1.0, 2.0, 3.0]) scalar = 1.0 tf.de...
doc_2096
Returns the size of the chunk.
doc_2097
See torch.fliplr()
doc_2098
Clear (unset) the event. Tasks awaiting on wait() will now block until the set() method is called again.
doc_2099
Read-only proxy of a mapping. It provides a dynamic view on the mapping’s entries, which means that when the mapping changes, the view reflects these changes. New in version 3.3. Changed in version 3.9: Updated to support the new union (|) operator from PEP 584, which simply delegates to the underlying mapping. k...