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doc_28700
Returns the database column data type for fields such as ForeignKey and OneToOneField that point to the Field, taking into account the connection. See Custom database types for usage in custom fields.
doc_28701
Retrieve the specified ANNOTATIONs for mailbox. The method is non-standard, but is supported by the Cyrus server.
doc_28702
Set the position to use for z-sorting.
doc_28703
Alias for set_antialiased.
doc_28704
tf.compat.v1.distributions.Laplace( loc, scale, validate_args=False, allow_nan_stats=True, name='Laplace' ) Mathematical details The probability density function (pdf) of this distribution is, pdf(x; mu, sigma) = exp(-|x - mu| / sigma) / Z Z = 2 sigma where loc = mu, scale = sigma, and Z is the normalization cons...
doc_28705
tf.compat.v1.distributions.ReparameterizationType( rep_type ) Two static instances exist in the distributions library, signifying one of two possible properties for samples from a distribution: FULLY_REPARAMETERIZED: Samples from the distribution are fully reparameterized, and straight-through gradients are suppor...
doc_28706
Bases: matplotlib.patches.BoxStyle._Base A square box. Parameters padfloat, default: 0.3 The amount of padding around the original box. __call__(x0, y0, width, height, mutation_size, mutation_aspect=<deprecated parameter>)[source] Given the location and size of the box, return the path of the box around...
doc_28707
Alias for set_horizontalalignment.
doc_28708
A string identifying the data type. Will be used for display in, e.g. Series.dtype
doc_28709
Share the y-axis with other. This is equivalent to passing sharey=other when constructing the axes, and cannot be used if the y-axis is already being shared with another Axes.
doc_28710
If pass_through is True, all ancestors will always be invalidated, even if 'self' is already invalid.
doc_28711
See Migration guide for more details. tf.compat.v1.keras.layers.UpSampling2D tf.keras.layers.UpSampling2D( size=(2, 2), data_format=None, interpolation='nearest', **kwargs ) Repeats the rows and columns of the data by size[0] and size[1] respectively. Examples: input_shape = (2, 2, 1, 3) x = np.arange(np.prod(i...
doc_28712
Return the group database entry for the given numeric group ID. KeyError is raised if the entry asked for cannot be found. Deprecated since version 3.6: Since Python 3.6 the support of non-integer arguments like floats or strings in getgrgid() is deprecated.
doc_28713
Return the registered default canvas for given file format. Handles deferred import of required backend.
doc_28714
An immutable list. Changelog New in version 0.5. Private
doc_28715
class sklearn.kernel_approximation.PolynomialCountSketch(*, gamma=1.0, degree=2, coef0=0, n_components=100, random_state=None) [source] Polynomial kernel approximation via Tensor Sketch. Implements Tensor Sketch, which approximates the feature map of the polynomial kernel: K(X, Y) = (gamma * <X, Y> + coef0)^degree b...
doc_28716
Create a new CAB file named cabname. files must be a list of tuples, each containing the name of the file on disk, and the name of the file inside the CAB file. The files are added to the CAB file in the order they appear in the list. All files are added into a single CAB file, using the MSZIP compression algorithm. Ca...
doc_28717
Tidy up any resources used by the handler. This version does no output but removes the handler from an internal list of handlers which is closed when shutdown() is called. Subclasses should ensure that this gets called from overridden close() methods.
doc_28718
Draw a marker at each of path's vertices (excluding control points). This provides a fallback implementation of draw_markers that makes multiple calls to draw_path(). Some backends may want to override this method in order to draw the marker only once and reuse it multiple times. Parameters gcGraphicsContextBase ...
doc_28719
The last colorbar associated with this ScalarMappable. May be None.
doc_28720
Set the JoinStyle for the collection (for all its elements). Parameters jsJoinStyle or {'miter', 'round', 'bevel'}
doc_28721
Encodes a bytestring to a base64 string for use in URLs, stripping any trailing equal signs.
doc_28722
Calculate TimedeltaArray of difference between index values and index converted to PeriodArray at specified freq. Used for vectorized offsets. Parameters freq:Period frequency Returns TimedeltaArray/Index
doc_28723
Return the offsets for the collection.
doc_28724
See torch.sign()
doc_28725
Find indices where elements should be inserted to maintain order. Find the indices into a sorted array a such that, if the corresponding elements in v were inserted before the indices, the order of a would be preserved. Assuming that a is sorted: side returned index i satisfies left a[i-1] < v <= a[i] right a...
doc_28726
If pass_through is True, all ancestors will always be invalidated, even if 'self' is already invalid.
doc_28727
Joins the applied CAN filters such that only CAN frames that match all given CAN filters are passed to user space. This constant is documented in the Linux documentation. Availability: Linux >= 4.1. New in version 3.9.
doc_28728
See Migration guide for more details. tf.compat.v1.estimator.StopAtStepHook, tf.compat.v1.train.StopAtStepHook tf.estimator.StopAtStepHook( num_steps=None, last_step=None ) Args num_steps Number of steps to execute. last_step Step after which to stop. Raises ValueError If one of the ar...
doc_28729
Copy properties from other to self.
doc_28730
Exports an EventList as a Chrome tracing tools file. The checkpoint can be later loaded and inspected under chrome://tracing URL. Parameters path (str) – Path where the trace will be written.
doc_28731
Alias for torch.acos().
doc_28732
A data structure of functions to call at the end of each request, in the format {scope: [functions]}. The scope key is the name of a blueprint the functions are active for, or None for all requests. To register a function, use the after_request() decorator. This data structure is internal. It should not be modified dir...
doc_28733
Calculate the ewm (exponential weighted moment) sample correlation. Parameters other:Series or DataFrame, optional If not supplied then will default to self and produce pairwise output. pairwise:bool, default None If False then only matching columns between self and other will be used and the output will be...
doc_28734
Show my ACLs for a mailbox (i.e. the rights that I have on mailbox).
doc_28735
Return input with invalid data masked and replaced by a fill value. Invalid data means values of nan, inf, etc. Parameters aarray_like Input array, a (subclass of) ndarray. masksequence, optional Mask. Must be convertible to an array of booleans with the same shape as data. True indicates a masked (i.e. inv...
doc_28736
See Migration guide for more details. tf.compat.v1.string_to_hash_bucket_fast, tf.compat.v1.strings.to_hash_bucket_fast tf.strings.to_hash_bucket_fast( input, num_buckets, name=None ) The hash function is deterministic on the content of the string within the process and will never change. However, it is not suit...
doc_28737
<section class="expandable"> <h4 class="showalways">View aliases</h4> <p> <b>Compat aliases for migration</b> <p>See <a href="https://www.tensorflow.org/guide/migrate">Migration guide</a> for more details.</p> <p>`tf.compat.v1.raw_ops.For`</p> </p> </section> <pre class="devsite-click-to-copy prettyprint lang-py t...
doc_28738
tf.compat.v1.to_float( x, name='ToFloat' ) Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use tf.cast instead. Args x A Tensor or SparseTensor or IndexedSlices. name A name for the operation (optional). Returns A Tensor or SparseTen...
doc_28739
Extract all members from the archive to the current working directory or directory path. If optional members is given, it must be a subset of the list returned by getmembers(). Directory information like owner, modification time and permissions are set after all members have been extracted. This is done to work around ...
doc_28740
class sklearn.metrics.DetCurveDisplay(*, fpr, fnr, estimator_name=None, pos_label=None) [source] DET curve visualization. It is recommend to use plot_det_curve to create a visualizer. All parameters are stored as attributes. Read more in the User Guide. New in version 0.24. Parameters fprndarray False positiv...
doc_28741
Return a tuple containing all schemes currently supported in sysconfig.
doc_28742
Calculate the Hausdorff distance between nonzero elements of given images. The Hausdorff distance [1] is the maximum distance between any point on image0 and its nearest point on image1, and vice-versa. Parameters image0, image1ndarray Arrays where True represents a point that is included in a set of points. Bo...
doc_28743
Computes a partial inverse of MaxPool2d. See MaxUnpool2d for details.
doc_28744
Error raised for unsupported Numba engine routines.
doc_28745
Transform via the mapping y=xexponenty = x^{\text{exponent}} .
doc_28746
Return local gradient of an image (i.e. local maximum - local minimum). Only greyvalues between percentiles [p0, p1] are considered in the filter. Parameters image2-D array (uint8, uint16) Input image. selem2-D array The neighborhood expressed as a 2-D array of 1’s and 0’s. out2-D array (same dtype as inp...
doc_28747
operator.__xor__(a, b) Return the bitwise exclusive or of a and b.
doc_28748
List of all bands of the source, as GDALBand instances. >>> rst = GDALRaster({"width": 1, "height": 2, 'srid': 4326, ... "bands": [{"data": [0, 1]}, {"data": [2, 3]}]}) >>> len(rst.bands) 2 >>> rst.bands[1].data() array([[ 2., 3.]], dtype=float32)
doc_28749
Return whether the x-axis is autoscaled.
doc_28750
Reallocate storage for a curses window to adjust its dimensions to the specified values. If either dimension is larger than the current values, the window’s data is filled with blanks that have the current background rendition (as set by bkgdset()) merged into them.
doc_28751
See Migration guide for more details. tf.compat.v1.raw_ops.AvgPool3DGrad tf.raw_ops.AvgPool3DGrad( orig_input_shape, grad, ksize, strides, padding, data_format='NDHWC', name=None ) Args orig_input_shape A Tensor of type int32. The original input dimensions. grad A Tensor. Must be one of the fo...
doc_28752
See Migration guide for more details. tf.compat.v1.raw_ops.InitializeTableFromTextFile tf.raw_ops.InitializeTableFromTextFile( table_handle, filename, key_index, value_index, vocab_size=-1, delimiter='\t', name=None ) It inserts one key-value pair into the table for each line of the file. The key and value i...
doc_28753
See Migration guide for more details. tf.compat.v1.raw_ops.IFFT tf.raw_ops.IFFT( input, name=None ) Computes the inverse 1-dimensional discrete Fourier transform over the inner-most dimension of input. Args input A Tensor. Must be one of the following types: complex64, complex128. A complex tensor. ...
doc_28754
Return an xarray object from the pandas object. Returns xarray.DataArray or xarray.Dataset Data in the pandas structure converted to Dataset if the object is a DataFrame, or a DataArray if the object is a Series. See also DataFrame.to_hdf Write DataFrame to an HDF5 file. DataFrame.to_parquet Write a Data...
doc_28755
Return item and drop from frame. Raise KeyError if not found. Parameters item:label Label of column to be popped. Returns Series Examples >>> df = pd.DataFrame([('falcon', 'bird', 389.0), ... ('parrot', 'bird', 24.0), ... ('lion', 'mammal', 80.5), ... ...
doc_28756
find a specific font on the system match_font(name, bold=False, italic=False) -> path Returns the full path to a font file on the system. If bold or italic are set to true, this will attempt to find the correct family of font. The font name can also be an iterable of font names, a string of comma-separated font names...
doc_28757
Returns True if value is naive, False if it is aware. This function assumes that value is a datetime.
doc_28758
Set the snapping behavior. Snapping aligns positions with the pixel grid, which results in clearer images. For example, if a black line of 1px width was defined at a position in between two pixels, the resulting image would contain the interpolated value of that line in the pixel grid, which would be a grey value on ...
doc_28759
Make the response object ready to be pickled. Does the following: Buffer the response into a list, ignoring implicity_sequence_conversion and direct_passthrough. Set the Content-Length header. Generate an ETag header if one is not already set. Changed in version 2.0: An ETag header is added, the no_etag parameter is...
doc_28760
See Migration guide for more details. tf.compat.v1.raw_ops.Exit tf.raw_ops.Exit( data, name=None ) Exit makes its input data available to the parent frame. Args data A Tensor. The tensor to be made available to the parent frame. name A name for the operation (optional). Returns A Tensor....
doc_28761
Returns a new instance of the SocketHandler class intended to communicate with a remote machine whose address is given by host and port. Changed in version 3.4: If port is specified as None, a Unix domain socket is created using the value in host - otherwise, a TCP socket is created. close() Closes the socket. ...
doc_28762
See Migration guide for more details. tf.compat.v1.train.queue_runner.QueueRunner tf.compat.v1.train.QueueRunner( queue=None, enqueue_ops=None, close_op=None, cancel_op=None, queue_closed_exception_types=None, queue_runner_def=None, import_scope=None ) Queues are a convenient TensorFlow mechanism to compute ...
doc_28763
Down/up samples the input to either the given size or the given scale_factor The algorithm used for interpolation is determined by mode. Currently temporal, spatial and volumetric sampling are supported, i.e. expected inputs are 3-D, 4-D or 5-D in shape. The input dimensions are interpreted in the form: mini-batch x ...
doc_28764
Returns True if a certain feature is exist and covered within _Config.conf_features. Parameters ‘name’: str feature name in uppercase.
doc_28765
See Migration guide for more details. tf.compat.v1.raw_ops.RetrieveTPUEmbeddingMomentumParameters tf.raw_ops.RetrieveTPUEmbeddingMomentumParameters( num_shards, shard_id, table_id=-1, table_name='', config='', name=None ) An op that retrieves optimization parameters from embedding to host memory. Must be pre...
doc_28766
Write the figure to a PNG file. Parameters filename_or_objstr or path-like or file-like The file to write to. metadatadict, optional Metadata in the PNG file as key-value pairs of bytes or latin-1 encodable strings. According to the PNG specification, keys must be shorter than 79 chars. The PNG specificatio...
doc_28767
Returns a datetime of the last modified time of the file. For storage systems unable to return the last modified time this will raise NotImplementedError. If USE_TZ is True, returns an aware datetime, otherwise returns a naive datetime in the local timezone.
doc_28768
In-place version of not_equal().
doc_28769
Assign a ctypes type to specify the result type of the foreign function. Use None for void, a function not returning anything. It is possible to assign a callable Python object that is not a ctypes type, in this case the function is assumed to return a C int, and the callable will be called with this integer, allowing ...
doc_28770
Return True if this entry is a file or a symbolic link pointing to a file; return False if the entry is or points to a directory or other non-file entry, or if it doesn’t exist anymore. If follow_symlinks is False, return True only if this entry is a file (without following symlinks); return False if the entry is a dir...
doc_28771
tf.optimizers.get Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.optimizers.get tf.keras.optimizers.get( identifier ) Arguments identifier Optimizer identifier, one of String: name of an optimizer Dictionary: configuration dictionary. - Keras Optimizer instance (i...
doc_28772
Applies weight normalization to a parameter in the given module. w=gv∥v∥\mathbf{w} = g \dfrac{\mathbf{v}}{\|\mathbf{v}\|} Weight normalization is a reparameterization that decouples the magnitude of a weight tensor from its direction. This replaces the parameter specified by name (e.g. 'weight') with two parameter...
doc_28773
Scalar method identical to the corresponding array attribute. Please see ndarray.trace.
doc_28774
Return a tuple (real_value, coded_value) from a string representation. real_value can be any type. This method does no decoding in BaseCookie — it exists so it can be overridden.
doc_28775
See torch.all()
doc_28776
The real part of the array. See also numpy.real equivalent function Examples >>> x = np.sqrt([1+0j, 0+1j]) >>> x.real array([ 1. , 0.70710678]) >>> x.real.dtype dtype('float64')
doc_28777
Remove a callback based on its observer id. See also add_callback
doc_28778
See Migration guide for more details. tf.compat.v1.nn.with_space_to_batch tf.nn.with_space_to_batch( input, dilation_rate, padding, op, filter_shape=None, spatial_dims=None, data_format=None ) This has the effect of transforming sliding window operations into the corresponding "atrous" operation in which the...
doc_28779
See Migration guide for more details. tf.compat.v1.get_static_value tf.get_static_value( tensor, partial=False ) This function attempts to partially evaluate the given tensor, and returns its value as a numpy ndarray if this succeeds. Compatibility(V1): If constant_value(tensor) returns a non-None result, it wil...
doc_28780
See Migration guide for more details. tf.compat.v1.raw_ops.MaxPoolWithArgmax tf.raw_ops.MaxPoolWithArgmax( input, ksize, strides, padding, Targmax=tf.dtypes.int64, include_batch_in_index=False, name=None ) The indices in argmax are flattened, so that a maximum value at position [b, y, x, c] becomes flattened...
doc_28781
Return a dataframe of the components (days, hours, minutes, seconds, milliseconds, microseconds, nanoseconds) of the Timedeltas. Returns DataFrame
doc_28782
Return whether any element is Truthy. Parameters *args Required for compatibility with numpy. **kwargs Required for compatibility with numpy. Returns any:bool or array-like (if axis is specified) A single element array-like may be converted to bool. See also Index.all Return whether all elements ...
doc_28783
Get the current default floating point torch.dtype. Example: >>> torch.get_default_dtype() # initial default for floating point is torch.float32 torch.float32 >>> torch.set_default_dtype(torch.float64) >>> torch.get_default_dtype() # default is now changed to torch.float64 torch.float64 >>> torch.set_default_tensor_t...
doc_28784
Adds the specified filter filter to this logger.
doc_28785
Specifies that the STARTUPINFO.wShowWindow attribute contains additional information.
doc_28786
skimage.filters.rank.autolevel(image, selem) Auto-level image using local histogram. skimage.filters.rank.autolevel_percentile(…) Return greyscale local autolevel of an image. skimage.filters.rank.bottomhat(image, selem) Local bottom-hat of an image. skimage.filters.rank.enhance_contrast(image, …) Enhance contras...
doc_28787
A boolean that controls whether or not authenticated users accessing the login page will be redirected as if they had just successfully logged in. Defaults to False. Warning If you enable redirect_authenticated_user, other websites will be able to determine if their visitors are authenticated on your site by requestin...
doc_28788
Return the current protocol.
doc_28789
Bases: object A base class for path effects. Subclasses should override the draw_path method to add effect functionality. Parameters offset(float, float), default: (0, 0) The (x, y) offset to apply to the path, measured in points. draw_path(renderer, gc, tpath, affine, rgbFace=None)[source] Derived shou...
doc_28790
Call the exception as WSGI application. Parameters environ (WSGIEnvironment) – the WSGI environment. start_response (StartResponse) – the response callable provided by the WSGI server. Return type Iterable[bytes]
doc_28791
If the value for a header in the Message object originated from a parser (as opposed to being set by a program), this attribute indicates whether or not a generator should refold that value when transforming the message back into serialized form. The possible values are: none all source values use original folding ...
doc_28792
Sets the current device. Usage of this function is discouraged in favor of device. In most cases it’s better to use CUDA_VISIBLE_DEVICES environmental variable. Parameters device (torch.device or int) – selected device. This function is a no-op if this argument is negative.
doc_28793
Set the path effects. Parameters path_effectsAbstractPathEffect
doc_28794
Returns transformTransform The transform used for drawing y-axis labels, which will add pad_points of padding (in points) between the axis and the label. The x-direction is in axis coordinates and the y-direction is in data coordinates valign{'center', 'top', 'bottom', 'baseline', 'center_baseline'} The tex...
doc_28795
Return a string representation of data. Note This method is intended to be overridden by artist subclasses. As an end-user of Matplotlib you will most likely not call this method yourself. The default implementation converts ints and floats and arrays of ints and floats into a comma-separated string enclosed in squ...
doc_28796
See torch.arctanh()
doc_28797
First discrete difference of element. Calculates the difference of a Dataframe element compared with another element in the Dataframe (default is element in previous row). Parameters periods:int, default 1 Periods to shift for calculating difference, accepts negative values. axis:{0 or ‘index’, 1 or ‘columns’...
doc_28798
This class implements the portion of the TestCase interface which allows the test runner to drive the test, but does not provide the methods which test code can use to check and report errors. This is used to create test cases using legacy test code, allowing it to be integrated into a unittest-based test framework.
doc_28799
Return index of first occurrence of maximum over requested axis. NA/null values are excluded. Parameters axis:{0 or ‘index’, 1 or ‘columns’}, default 0 The axis to use. 0 or ‘index’ for row-wise, 1 or ‘columns’ for column-wise. skipna:bool, default True Exclude NA/null values. If an entire row/column is NA,...