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doc_6200
In-place version of asinh()
doc_6201
Exception when a node does not exist in the referenced context. For example, NamedNodeMap.removeNamedItem() will raise this if the node passed in does not exist in the map.
doc_6202
Plot visualization. Extra keyword arguments will be passed to matplotlib’s plot. Parameters axMatplotlib Axes, default=None Axes object to plot on. If None, a new figure and axes is created. namestr, default=None Name of precision recall curve for labeling. If None, use the name of the estimator. **kwargs...
doc_6203
Apply inverse transformation. Parameters coords(N, 2) array Destination coordinates. Returns coords(N, 3) array Epipolar lines in the source image.
doc_6204
Set whether the artist uses clipping. When False artists will be visible outside of the axes which can lead to unexpected results. Parameters bbool
doc_6205
The raw version number of the OpenSSL library, as a single integer: >>> ssl.OPENSSL_VERSION_NUMBER 268443839 >>> hex(ssl.OPENSSL_VERSION_NUMBER) '0x100020bf' New in version 3.2.
doc_6206
Returns True if the user has any permissions in the given package (the Django app label). If the user is inactive, this method will always return False. For an active superuser, this method will always return True.
doc_6207
Send a simple command string to the server and return the response string. Raises an auditing event ftplib.sendcmd with arguments self, cmd.
doc_6208
operator.__rshift__(a, b) Return a shifted right by b.
doc_6209
See Migration guide for more details. tf.compat.v1.keras.models.model_from_json tf.keras.models.model_from_json( json_string, custom_objects=None ) Usage: model = tf.keras.Sequential([ tf.keras.layers.Dense(5, input_shape=(3,)), tf.keras.layers.Softmax()]) config = model.to_json() loaded_model = tf.kera...
doc_6210
Repr.maxlist Repr.maxtuple Repr.maxset Repr.maxfrozenset Repr.maxdeque Repr.maxarray Limits on the number of entries represented for the named object type. The default is 4 for maxdict, 5 for maxarray, and 6 for the others.
doc_6211
tf.compat.v1.disable_v2_behavior() This function can be called at the beginning of the program (before Tensors, Graphs or other structures have been created, and before devices have been initialized. It switches all global behaviors that are different between TensorFlow 1.x and 2.x to behave as intended for 1.x. User ...
doc_6212
Indicate that the num screen lines, starting at line beg, are corrupted and should be completely redrawn on the next refresh() call.
doc_6213
Return the Euclidean norm, sqrt(sum(x**2 for x in coordinates)). This is the length of the vector from the origin to the point given by the coordinates. For a two dimensional point (x, y), this is equivalent to computing the hypotenuse of a right triangle using the Pythagorean theorem, sqrt(x*x + y*y). Changed in vers...
doc_6214
Warning for attribute conflicts in accessor registration.
doc_6215
Computes the dot product for 1D tensors. For higher dimensions, sums the product of elements from input and other along their last dimension. Note If either input or other is a scalar, the result is equivalent to torch.mul(input, other). If both input and other are non-scalars, the size of their last dimension must ma...
doc_6216
Set the path effects. Parameters path_effectsAbstractPathEffect
doc_6217
Return x, y values at equally spaced points in domain. Returns the x, y values at n linearly spaced points across the domain. Here y is the value of the polynomial at the points x. By default the domain is the same as that of the series instance. This method is intended mostly as a plotting aid. New in version 1.5.0...
doc_6218
New in Django 4.0. The render method is called by __str__ as well as by the as_ul() method. All arguments are optional and will default to: template_name: Value returned by template_name context: Value returned by get_context() renderer: Value returned by renderer
doc_6219
See Migration guide for more details. tf.compat.v1.raw_ops.LoadTPUEmbeddingRMSPropParameters tf.raw_ops.LoadTPUEmbeddingRMSPropParameters( parameters, ms, mom, num_shards, shard_id, table_id=-1, table_name='', config='', name=None ) An op that loads optimization parameters into HBM for embedding. Must be pre...
doc_6220
Replace history item specified by its position with line. The position is zero-based. This calls replace_history_entry() in the underlying library.
doc_6221
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_6222
Set the instance’s debugging level. This controls the amount of debugging output printed. The default, 0, produces no debugging output. A value of 1 produces a moderate amount of debugging output, generally a single line per request. A value of 2 or higher produces the maximum amount of debugging output, logging each l...
doc_6223
Returns True if the data type of self is a floating point data type.
doc_6224
Map a 3d array into a 2d array map_array(Surface, array3d) -> array2d Convert a 3D array into a 2D array. This will use the given Surface format to control the conversion. Palette surface formats are supported for NumPy arrays.
doc_6225
See Migration guide for more details. tf.compat.v1.manip.reverse, tf.compat.v1.reverse, tf.compat.v1.reverse_v2 tf.reverse( tensor, axis, name=None ) NOTE tf.reverse has now changed behavior in preparation for 1.0. tf.reverse_v2 is currently an alias that will be deprecated before TF 1.0. Given a tensor, and a i...
doc_6226
Transform data back to its original space. Parameters W{ndarray, sparse matrix} of shape (n_samples, n_components) Transformed data matrix. Returns X{ndarray, sparse matrix} of shape (n_samples, n_features) Data matrix of original shape. New in version 0.18: ..
doc_6227
Removes the specified filter filter from this handler.
doc_6228
Registers a backward hook common to all the modules. This function is deprecated in favor of nn.module.register_module_full_backward_hook() and the behavior of this function will change in future versions. Returns a handle that can be used to remove the added hook by calling handle.remove() Return type torch.util...
doc_6229
tf.compat.v1.losses.absolute_difference( labels, predictions, weights=1.0, scope=None, loss_collection=tf.GraphKeys.LOSSES, reduction=Reduction.SUM_BY_NONZERO_WEIGHTS ) weights acts as a coefficient for the loss. If a scalar is provided, then the loss is simply scaled by the given value. If weights is a Tensor...
doc_6230
A reduced-scope variant of SSLSocket representing an SSL protocol instance that does not contain any network IO methods. This class is typically used by framework authors that want to implement asynchronous IO for SSL through memory buffers. This class implements an interface on top of a low-level SSL object as impleme...
doc_6231
Identity Mappings in Deep Residual Networks (CVPR 2016) Functions ResNet101V2(...): Instantiates the ResNet101V2 architecture. ResNet152V2(...): Instantiates the ResNet152V2 architecture. ResNet50V2(...): Instantiates the ResNet50V2 architecture. decode_predictions(...): Decodes the prediction of an ImageNet model. pr...
doc_6232
Return True if the argument is subnormal, and False otherwise.
doc_6233
'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_6234
Bases: matplotlib.patches._Style ArrowStyle is a container class which defines several arrowstyle classes, which is used to create an arrow path along a given path. These are mainly used with FancyArrowPatch. A arrowstyle object can be either created as: ArrowStyle.Fancy(head_length=.4, head_width=.4, tail_width=.4) ...
doc_6235
Return True if the Turtle is shown, False if it’s hidden. >>> turtle.hideturtle() >>> turtle.isvisible() False >>> turtle.showturtle() >>> turtle.isvisible() True
doc_6236
Dictionary mapping suffixes to suffixes. This is used to allow recognition of encoded files for which the encoding and the type are indicated by the same extension. For example, the .tgz extension is mapped to .tar.gz to allow the encoding and type to be recognized separately.
doc_6237
runeval(expression, globals=None, locals=None) runcall(function, *args, **kwds) set_trace() See the documentation for the functions explained above.
doc_6238
Compute the q-th quantile of the data along the specified axis. New in version 1.15.0. Parameters aarray_like Input array or object that can be converted to an array. qarray_like of float Quantile or sequence of quantiles to compute, which must be between 0 and 1 inclusive. axis{int, tuple of int, None}...
doc_6239
Compiles fn when it is first called during tracing. torch.jit.script has a non-negligible start up time when it is first called due to lazy-initializations of many compiler builtins. Therefore you should not use it in library code. However, you may want to have parts of your library work in tracing even if they use c...
doc_6240
Return Series with specified index labels removed. Remove elements of a Series based on specifying the index labels. When using a multi-index, labels on different levels can be removed by specifying the level. Parameters labels:single label or list-like Index labels to drop. axis:0, default 0 Redundant for ...
doc_6241
Fit MultiTaskElasticNet model with coordinate descent Parameters Xndarray of shape (n_samples, n_features) Data. yndarray of shape (n_samples, n_tasks) Target. Will be cast to X’s dtype if necessary. Notes Coordinate descent is an algorithm that considers each column of data at a time hence it will auto...
doc_6242
tf.reduce_any tf.math.reduce_any( input_tensor, axis=None, keepdims=False, name=None ) Reduces input_tensor along the dimensions given in axis. Unless keepdims is true, the rank of the tensor is reduced by 1 for each of the entries in axis, which must be unique. If keepdims is true, the reduced dimensions are re...
doc_6243
socket.SOCK_NONBLOCK These two constants, if defined, can be combined with the socket types and allow you to set some flags atomically (thus avoiding possible race conditions and the need for separate calls). See also Secure File Descriptor Handling for a more thorough explanation. Availability: Linux >= 2.6.27. N...
doc_6244
Parameters fun – a function with no arguments or None key – a string: key (e.g. “a”) or key-symbol (e.g. “space”) Bind fun to key-press event of key if key is given, or to any key-press-event if no key is given. Remark: in order to be able to register key-events, TurtleScreen must have focus. (See method liste...
doc_6245
tf.compat.v1.colocate_with( op, ignore_existing=False ) Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Colocations handled automatically by placer.
doc_6246
Bases: matplotlib.image.AxesImage Parameters interpolation{'nearest', 'bilinear'}, default: 'nearest' **kwargs All other keyword arguments are identical to those of AxesImage. get_extent()[source] Return the image extent as tuple (left, right, bottom, top). make_image(renderer, magnification=1.0, un...
doc_6247
See Migration guide for more details. tf.compat.v1.keras.layers.Minimum tf.keras.layers.Minimum( **kwargs ) It takes as input a list of tensors, all of the same shape, and returns a single tensor (also of the same shape). tf.keras.layers.Minimum()([np.arange(5).reshape(5, 1), np.arang...
doc_6248
atan2(dy, dx) clip(xlines, ylines, x0[, clip, xdir, ydir]) clip_line_to_rect(xline, yline, bbox)
doc_6249
Remove the first occurrence of x from the array.
doc_6250
A RegexValidator instance that ensures a value consists of only Unicode letters, numbers, underscores, or hyphens.
doc_6251
operator.__or__(a, b) Return the bitwise or of a and b.
doc_6252
See Migration guide for more details. tf.compat.v1.image.sobel_edges tf.image.sobel_edges( image ) Arguments image Image tensor with shape [batch_size, h, w, d] and type float32 or float64. The image(s) must be 2x2 or larger. Returns Tensor holding edge maps for each channel. Returns a tensor ...
doc_6253
Read-only attribute which is always True (as opposed to AnonymousUser.is_authenticated which is always False). This is a way to tell if the user has been authenticated. This does not imply any permissions and doesn’t check if the user is active or has a valid session. Even though normally you will check this attribute ...
doc_6254
Remove a key. Parameters key – The key to be removed.
doc_6255
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_6256
The last colorbar associated with this ScalarMappable. May be None.
doc_6257
Called for every processing instruction.
doc_6258
Fit the Ledoit-Wolf shrunk covariance model according to the given training data and parameters. Parameters Xarray-like of shape (n_samples, n_features) Training data, where n_samples is the number of samples and n_features is the number of features. yIgnored Not used, present for API consistency by convent...
doc_6259
Encodes the payload into base64 form and sets the Content-Transfer-Encoding header to base64. This is a good encoding to use when most of your payload is unprintable data since it is a more compact form than quoted-printable. The drawback of base64 encoding is that it renders the text non-human readable.
doc_6260
Place a legend on the figure. Call signatures: legend() legend(handles, labels) legend(handles=handles) legend(labels) The call signatures correspond to the following different ways to use this method: 1. Automatic detection of elements to be shown in the legend The elements to be added to the legend are automatical...
doc_6261
Object that is not equal to anything (even to ALWAYS_EQ). Used to test mixed type comparison.
doc_6262
Bases: torch.distributions.exp_family.ExponentialFamily Creates a continuous Bernoulli distribution parameterized by probs or logits (but not both). The distribution is supported in [0, 1] and parameterized by ‘probs’ (in (0,1)) or ‘logits’ (real-valued). Note that, unlike the Bernoulli, ‘probs’ does not correspond t...
doc_6263
A boolean indicating whether the response content has been rendered.
doc_6264
An ABC with one abstract method __bytes__.
doc_6265
Get Exponential power of dataframe and other, element-wise (binary operator pow). Equivalent to dataframe ** other, but with support to substitute a fill_value for missing data in one of the inputs. With reverse version, rpow. Among flexible wrappers (add, sub, mul, div, mod, pow) to arithmetic operators: +, -, *, /,...
doc_6266
Broadcasts the tensor to the whole group. tensor must have the same number of elements in all processes participating in the collective. Parameters tensor (Tensor) – Data to be sent if src is the rank of current process, and tensor to be used to save received data otherwise. src (int) – Source rank. group (Proc...
doc_6267
Starts up a socket server on the specified port, and listens for new configurations. If no port is specified, the module’s default DEFAULT_LOGGING_CONFIG_PORT is used. Logging configurations will be sent as a file suitable for processing by dictConfig() or fileConfig(). Returns a Thread instance on which you can call s...
doc_6268
Set the peak size of memory blocks traced by the tracemalloc module to the current size. Do nothing if the tracemalloc module is not tracing memory allocations. This function only modifies the recorded peak size, and does not modify or clear any traces, unlike clear_traces(). Snapshots taken with take_snapshot() before...
doc_6269
tf.losses.MeanAbsolutePercentageError Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losses.MeanAbsolutePercentageError tf.keras.losses.MeanAbsolutePercentageError( reduction=losses_utils.ReductionV2.AUTO, name='mean_absolute_percentage_error' ) loss = 100 * abs(y_true ...
doc_6270
Set one or more properties on an Artist, or list allowed values. Parameters objArtist or list of Artist The artist(s) whose properties are being set or queried. When setting properties, all artists are affected; when querying the allowed values, only the first instance in the sequence is queried. For example, t...
doc_6271
tf.metrics.FalseNegatives Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.FalseNegatives tf.keras.metrics.FalseNegatives( thresholds=None, name=None, dtype=None ) If sample_weight is given, calculates the sum of the weights of false negatives. This metric creates one...
doc_6272
Return filter function to be used for agg filter.
doc_6273
If a fallback has been set, forward gettext() to the fallback. Otherwise, return message. Overridden in derived classes.
doc_6274
'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_6275
Time of last modification.
doc_6276
Write Styler to a file, buffer or string in LaTeX format. New in version 1.3.0. Parameters buf:str, path object, file-like object, or None, default None String, path object (implementing os.PathLike[str]), or file-like object implementing a string write() function. If None, the result is returned as a string....
doc_6277
This method returns None for the lock, since there is no underlying I/O to which access needs to be serialized.
doc_6278
'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_6279
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_6280
Raised when an operation or function is applied to an object of inappropriate type. The associated value is a string giving details about the type mismatch. This exception may be raised by user code to indicate that an attempted operation on an object is not supported, and is not meant to be. If an object is meant to s...
doc_6281
Should return True if editing obj is permitted, False otherwise. If obj is None, should return True or False to indicate whether editing of objects of this type is permitted in general (e.g., False will be interpreted as meaning that the current user is not permitted to edit any object of this type).
doc_6282
Returns the number of threads used for parallelizing CPU operations
doc_6283
Return the image value at the event position or None if the event is outside the image. See also matplotlib.artist.Artist.get_cursor_data
doc_6284
See Migration guide for more details. tf.compat.v1.signal.inverse_stft_window_fn tf.signal.inverse_stft_window_fn( frame_step, forward_window_fn=tf.signal.hann_window, name=None ) Constructs a window that is equal to the forward window with a further pointwise amplitude correction. inverse_stft_window_fn is equi...
doc_6285
User defined flags for file.
doc_6286
Set the colormap to 'prism'. This changes the default colormap as well as the colormap of the current image if there is one. See help(colormaps) for more information.
doc_6287
Remove a callback based on its observer id. See also add_callback
doc_6288
Set the sequence of blocked domains.
doc_6289
Set the linestyle(s) for the collection. linestyle description '-' or 'solid' solid line '--' or 'dashed' dashed line '-.' or 'dashdot' dash-dotted line ':' or 'dotted' dotted line Alternatively a dash tuple of the following form can be provided: (offset, onoffseq), where onoffseq is an even length tup...
doc_6290
See Migration guide for more details. tf.compat.v1.raw_ops.BatchSelfAdjointEig tf.raw_ops.BatchSelfAdjointEig( input, name=None ) Args input A Tensor. Must be one of the following types: float64, float32. name A name for the operation (optional). Returns A Tensor. Has the same type as in...
doc_6291
""" May be applied as a `default=...` value on a serializer field. Returns the current user. """ requires_context = True def __call__(self, serializer_field): return serializer_field.context['request'].user When serializing the instance, default will be used if the object attribute or ...
doc_6292
Draw the figure with no output. Useful to get the final size of artists that require a draw before their size is known (e.g. text).
doc_6293
Guess the type of a file based on its filename, path or URL, given by url. URL can be a string or a path-like object. The return value is a tuple (type, encoding) where type is None if the type can’t be guessed (missing or unknown suffix) or a string of the form 'type/subtype', usable for a MIME content-type header. en...
doc_6294
Decorator to ensure the threads are cleaned up even if the test fails.
doc_6295
tests if the vector is normalized i.e. has length == 1. is_normalized() -> Bool Returns True if the vector has length equal to 1. Otherwise it returns False.
doc_6296
return a list of colorspecs
doc_6297
A subclass of FileDialog that creates a dialog window for selecting an existing file. ok_command() Test that a file is provided and that the selection indicates an already existing file.
doc_6298
Callback signaling that the entire upload (all files) has completed.
doc_6299
tf.compat.v1.graph_util.extract_sub_graph( graph_def, dest_nodes ) Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use tf.compat.v1.graph_util.extract_sub_graph Args graph_def A graph_pb2.GraphDef proto. dest_nodes A list of strings specifying...