_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_3300 |
Call self as a function. | |
doc_3301 | See torch.multiply(). | |
doc_3302 |
Gathers picklable objects from the whole group into a list. Similar to all_gather(), but Python objects can be passed in. Note that the object must be picklable in order to be gathered. Parameters
object_list (list[Any]) – Output list. It should be correctly sized as the size of the group for this collective and ... | |
doc_3303 |
Set the point at which create_node and companion methods will insert into the graph. When used within a ‘with’ statement, this will temporary set the insert point and then restore it when the with statement exits: with g.inserting_after(n):
... # inserting after node n
... # insert point restored to what it was p... | |
doc_3304 | tf.experimental.numpy.ndarray(
shape, dtype=float, buffer=None
)
This does not support all features of NumPy ndarrays e.g. strides and memory order since, unlike NumPy, the backing storage is not a raw memory buffer. or if there are any differences in behavior.
Args
shape The shape of the array. Must be a... | |
doc_3305 |
Set the linewidth(s) for the collection. lw can be a scalar or a sequence; if it is a sequence the patches will cycle through the sequence Parameters
lwfloat or list of floats | |
doc_3306 | sklearn.metrics.make_scorer(score_func, *, greater_is_better=True, needs_proba=False, needs_threshold=False, **kwargs) [source]
Make a scorer from a performance metric or loss function. This factory function wraps scoring functions for use in GridSearchCV and cross_val_score. It takes a score function, such as accura... | |
doc_3307 |
Computes the (weighted) graph of k-Neighbors for points in X Parameters
Xarray-like of shape (n_queries, n_features), or (n_queries, n_indexed) if metric == ‘precomputed’, default=None
The query point or points. If not provided, neighbors of each indexed point are returned. In this case, the query point is not ... | |
doc_3308 |
Compute the Calinski and Harabasz score. It is also known as the Variance Ratio Criterion. The score is defined as ratio between the within-cluster dispersion and the between-cluster dispersion. Read more in the User Guide. Parameters
Xarray-like of shape (n_samples, n_features)
A list of n_features-dimensional... | |
doc_3309 |
Set multiple properties at once. Supported properties are
Property Description
agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array
alpha scalar or None
angle float
animated bool
antialiased or aa bool or None
capstyle CapStyle or {'butt', 'p... | |
doc_3310 | Load a snapshot from a file. See also dump(). | |
doc_3311 |
An object for detecting outliers in a Gaussian distributed dataset. Read more in the User Guide. Parameters
store_precisionbool, default=True
Specify if the estimated precision is stored.
assume_centeredbool, default=False
If True, the support of robust location and covariance estimates is computed, and a c... | |
doc_3312 | Like SSLContext.maximum_version except it is the lowest supported version or TLSVersion.MINIMUM_SUPPORTED. Note This attribute is not available unless the ssl module is compiled with OpenSSL 1.1.0g or newer. New in version 3.7. | |
doc_3313 |
Return the binary path to the commandline tool used by a specific subclass. This is a class method so that the tool can be looked for before making a particular MovieWriter subclass available. | |
doc_3314 |
Transform from unconstrained space to the simplex via y=exp(x)y = \exp(x) then normalizing. This is not bijective and cannot be used for HMC. However this acts mostly coordinate-wise (except for the final normalization), and thus is appropriate for coordinate-wise optimization algorithms. | |
doc_3315 |
Returns whether PyTorch is built with MKL support. | |
doc_3316 | See torch.expm1() | |
doc_3317 | Run until the future (an instance of Future) has completed. If the argument is a coroutine object it is implicitly scheduled to run as a asyncio.Task. Return the Future’s result or raise its exception. | |
doc_3318 | Set blocking or non-blocking mode of the socket: if flag is false, the socket is set to non-blocking, else to blocking mode. This method is a shorthand for certain settimeout() calls:
sock.setblocking(True) is equivalent to sock.settimeout(None)
sock.setblocking(False) is equivalent to sock.settimeout(0.0)
Chang... | |
doc_3319 | Capture an exception for later rendering. limit, lookup_lines and capture_locals are as for the StackSummary class. Note that when locals are captured, they are also shown in the traceback.
__cause__
A TracebackException of the original __cause__.
__context__
A TracebackException of the original __context__. ... | |
doc_3320 |
Attributes
attr repeated AttrEntry attr
device string device
experimental_debug_info ExperimentalDebugInfo experimental_debug_info
input repeated string input
name string name
op string op Child Classes class AttrEntry class ExperimentalDebugInfo | |
doc_3321 |
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_3322 | The get_list_select_related method is given the HttpRequest and should return a boolean or list as ModelAdmin.list_select_related does. | |
doc_3323 | See Migration guide for more details. tf.compat.v1.signal.dct, tf.compat.v1.spectral.dct
tf.signal.dct(
input, type=2, n=None, axis=-1, norm=None, name=None
)
Types I, II, III and IV are supported. Type I is implemented using a length 2N padded tf.signal.rfft. Type II is implemented using a length 2N padded tf.s... | |
doc_3324 |
Indicator for whether the date is the last day of a quarter. Returns
is_quarter_end:Series or DatetimeIndex
The same type as the original data with boolean values. Series will have the same name and index. DatetimeIndex will have the same name. See also quarter
Return the quarter of the date. is_quarter... | |
doc_3325 | See Migration guide for more details. tf.compat.v1.raw_ops.ShuffleAndRepeatDataset
tf.raw_ops.ShuffleAndRepeatDataset(
input_dataset, buffer_size, seed, seed2, count, output_types, output_shapes,
reshuffle_each_iteration=True, name=None
)
pseudorandomly.
Args
input_dataset A Tensor of type variant. ... | |
doc_3326 | Acquire a semaphore. When invoked without arguments: If the internal counter is larger than zero on entry, decrement it by one and return True immediately. If the internal counter is zero on entry, block until awoken by a call to release(). Once awoken (and the counter is greater than 0), decrement the counter by 1 an... | |
doc_3327 |
Linear Support Vector Regression. Similar to SVR with parameter kernel=’linear’, but implemented in terms of liblinear rather than libsvm, so it has more flexibility in the choice of penalties and loss functions and should scale better to large numbers of samples. This class supports both dense and sparse input. Read... | |
doc_3328 | Writes the object’s contents encoded to the stream. | |
doc_3329 |
Bases: matplotlib.colors.SymLogNorm The symmetrical logarithmic scale is logarithmic in both the positive and negative directions from the origin. Since the values close to zero tend toward infinity, there is a need to have a range around zero that is linear. The parameter linthresh allows the user to specify the siz... | |
doc_3330 | Return the floor of x, the largest integer less than or equal to x. If x is not a float, delegates to x.__floor__(), which should return an Integral value. | |
doc_3331 |
Parameters
namestr
Extension name.
sourceslist of str
List of source file locations relative to the top directory of the package.
extra_compile_argslist of str
Extra command line arguments to pass to the compiler.
extra_f77_compile_argslist of str
Extra command line arguments to pass to the fortran7... | |
doc_3332 |
Return a match score between stretch1 and stretch2. The result is the absolute value of the difference between the CSS numeric values of stretch1 and stretch2, normalized between 0.0 and 1.0. | |
doc_3333 | The file may not be renamed or deleted. | |
doc_3334 |
Returns true for each element if all characters in the string are alphabetic and there is at least one character, false otherwise. See also char.isalpha | |
doc_3335 |
Return an array with the elements of a right-justified in a string of length width. Calls str.rjust element-wise. Parameters
aarray_like of str or unicode
widthint
The length of the resulting strings
fillcharstr or unicode, optional
The character to use for padding Returns
outndarray
Output array ... | |
doc_3336 |
add_child_handler(pid, callback, *args)
Register a new child handler. Arrange for callback(pid, returncode, *args) to be called when a process with PID equal to pid terminates. Specifying another callback for the same process replaces the previous handler. The callback callable must be thread-safe.
remove_child... | |
doc_3337 | This member is either None or a dictionary containing Python objects that need to be kept alive so that the memory block contents is kept valid. This object is only exposed for debugging; never modify the contents of this dictionary. | |
doc_3338 |
CIE-LCH to CIE-LAB color space conversion. LCH is the cylindrical representation of the LAB (Cartesian) colorspace Parameters
lch(…, 3) array_like
The N-D image in CIE-LCH format. The last (N+1-th) dimension must have at least 3 elements, corresponding to the L, a, and b color channels. Subsequent elements are ... | |
doc_3339 |
Disconnect the callback with id cid. Examples cid = canvas.mpl_connect('button_press_event', on_press)
# ... later
canvas.mpl_disconnect(cid)
Examples using matplotlib.pyplot.disconnect
Mouse move and click events | |
doc_3340 | A convenience method which coerces the option in the specified section to a Boolean value. Note that the accepted values for the option are '1', 'yes', 'true', and 'on', which cause this method to return True, and '0', 'no', 'false', and 'off', which cause it to return False. These string values are checked in a case-i... | |
doc_3341 |
Return the color of the text. | |
doc_3342 | See Migration guide for more details. tf.compat.v1.raw_ops.LogMatrixDeterminant
tf.raw_ops.LogMatrixDeterminant(
input, name=None
)
one or more square matrices. The input is a tensor of shape [N, M, M] whose inner-most 2 dimensions form square matrices. The outputs are two tensors containing the signs and absolu... | |
doc_3343 | A TracebackException of the original __cause__. | |
doc_3344 |
Split an array into multiple sub-arrays as views into ary. Parameters
aryndarray
Array to be divided into sub-arrays.
indices_or_sectionsint or 1-D array
If indices_or_sections is an integer, N, the array will be divided into N equal arrays along axis. If such a split is not possible, an error is raised. If... | |
doc_3345 | tf.compat.v1.IdentityReader(
name=None
)
To use, enqueue strings in a Queue. Read will take the front work string and output (work, work). See ReaderBase for supported methods.
Args
name A name for the operation (optional). Eager Compatibility Readers are not compatible with eager execution. Instead, p... | |
doc_3346 | See Migration guide for more details. tf.compat.v1.math.reduce_logsumexp
tf.compat.v1.reduce_logsumexp(
input_tensor, axis=None, keepdims=None, name=None, reduction_indices=None,
keep_dims=None
)
Warning: SOME ARGUMENTS ARE DEPRECATED: (keep_dims). They will be removed in a future version. Instructions for u... | |
doc_3347 | class sklearn.kernel_approximation.Nystroem(kernel='rbf', *, gamma=None, coef0=None, degree=None, kernel_params=None, n_components=100, random_state=None, n_jobs=None) [source]
Approximate a kernel map using a subset of the training data. Constructs an approximate feature map for an arbitrary kernel using a subset of... | |
doc_3348 |
Return a flattened array. Refer to numpy.ravel for full documentation. See also numpy.ravel
equivalent function ndarray.flat
a flat iterator on the array. | |
doc_3349 | Return True if the feature identified by the pair of strings feature and version is implemented. | |
doc_3350 | Creates an exclusion constraint in the database. Internally, PostgreSQL implements exclusion constraints using indexes. The default index type is GiST. To use them, you need to activate the btree_gist extension on PostgreSQL. You can install it using the BtreeGistExtension migration operation. If you attempt to insert ... | |
doc_3351 | Wait until all output written to file descriptor fd has been transmitted. | |
doc_3352 | tf.data.experimental.make_csv_dataset(
file_pattern, batch_size, column_names=None, column_defaults=None,
label_name=None, select_columns=None, field_delim=',',
use_quote_delim=True, na_value='', header=True, num_epochs=None,
shuffle=True, shuffle_buffer_size=10000, shuffle_seed=None,
prefetch_buffe... | |
doc_3353 |
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_3354 | Returns the filtered dictionary of local variables for the given traceback frame. Sensitive values are replaced with cleansed_substitute. | |
doc_3355 |
Set the agg filter. Parameters
filter_funccallable
A filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array. | |
doc_3356 | Registers a forward hook on the module. The hook will be called every time after forward() has computed an output. It should have the following signature: hook(module, input, output) -> None or modified output
The input contains only the positional arguments given to the module. Keyword arguments won’t be passed to th... | |
doc_3357 | Returns True if the specified item is present in the tree. | |
doc_3358 |
Set the (group) id for the artist. Parameters
gidstr | |
doc_3359 | tf.optimizers.schedules.PolynomialDecay Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.optimizers.schedules.PolynomialDecay
tf.keras.optimizers.schedules.PolynomialDecay(
initial_learning_rate, decay_steps, end_learning_rate=0.0001, power=1.0,
cycle=False, name=None
)
I... | |
doc_3360 | Return a string containing the “info” for a message. This is useful for accessing and modifying “info” that is experimental (i.e., not a list of flags). | |
doc_3361 | Takes a variadic number of model classes, and returns a dictionary mapping the model classes to the ContentType instances representing them. for_concrete_models=False allows fetching the ContentType of proxy models. | |
doc_3362 | These control the range of values permitted in the field. | |
doc_3363 |
Some classes may want to replace a hyphen for minus with the proper unicode symbol (U+2212) for typographical correctness. This is a helper method to perform such a replacement when it is enabled via rcParams["axes.unicode_minus"] (default: True). | |
doc_3364 | Prevents re-use of the same DH key for distinct SSL sessions. This improves forward secrecy but requires more computational resources. This option only applies to server sockets. New in version 3.3. | |
doc_3365 | bytearray.center(width[, fillbyte])
Return a copy of the object centered in a sequence of length width. Padding is done using the specified fillbyte (default is an ASCII space). For bytes objects, the original sequence is returned if width is less than or equal to len(s). Note The bytearray version of this method do... | |
doc_3366 |
Update colors from the scalar mappable array, if any. Assign colors to edges and faces based on the array and/or colors that were directly set, as appropriate. | |
doc_3367 |
Draw samples from a logistic distribution. Samples are drawn from a logistic distribution with specified parameters, loc (location or mean, also median), and scale (>0). Parameters
locfloat or array_like of floats, optional
Parameter of the distribution. Default is 0.
scalefloat or array_like of floats, optio... | |
doc_3368 |
Process a pick event. Each child artist will fire a pick event if mouseevent is over the artist and the artist has picker set. See also
set_picker, get_picker, pickable | |
doc_3369 | A field which accepts JSON encoded data for a JSONField. Default widget: Textarea
Empty value: None
Normalizes to: A Python representation of the JSON value (usually as a dict, list, or None), depending on JSONField.decoder. Validates that the given value is a valid JSON. Error message keys: required, invalid
Take... | |
doc_3370 | This function takes the current request and the updated user object from which the new session hash will be derived and updates the session hash appropriately. It also rotates the session key so that a stolen session cookie will be invalidated. Example usage: from django.contrib.auth import update_session_auth_hash
de... | |
doc_3371 | The “no data” value for a band is generally a special marker value used to mark pixels that are not valid data. Such pixels should generally not be displayed, nor contribute to analysis operations. To delete an existing “no data” value, set this property to None (requires GDAL ≥ 2.1). | |
doc_3372 |
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_3373 | tf.train.experimental.DynamicLossScale Compat aliases for migration See Migration guide for more details. tf.compat.v1.mixed_precision.DynamicLossScale, tf.compat.v1.mixed_precision.experimental.DynamicLossScale, tf.compat.v1.train.experimental.DynamicLossScale
tf.mixed_precision.experimental.DynamicLossScale(
in... | |
doc_3374 |
Roll provided date backward to next offset only if not on offset. Returns
TimeStamp
Rolled timestamp if not on offset, otherwise unchanged timestamp. | |
doc_3375 | tf.compat.v1.train.MonitoredTrainingSession(
master='', is_chief=True, checkpoint_dir=None, scaffold=None,
hooks=None, chief_only_hooks=None, save_checkpoint_secs=USE_DEFAULT,
save_summaries_steps=USE_DEFAULT, save_summaries_secs=USE_DEFAULT, config=None,
stop_grace_period_secs=120, log_step_count_steps... | |
doc_3376 |
Gaussian Mixture. Representation of a Gaussian mixture model probability distribution. This class allows to estimate the parameters of a Gaussian mixture distribution. Read more in the User Guide. New in version 0.18. Parameters
n_componentsint, default=1
The number of mixture components.
covariance_type{‘f... | |
doc_3377 |
Get parameters of this kernel. 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_3378 |
Return self%=value. | |
doc_3379 | Is True if the stream is closed. | |
doc_3380 | tf.compat.v1.metrics.root_mean_squared_error(
labels, predictions, weights=None, metrics_collections=None,
updates_collections=None, name=None
)
The root_mean_squared_error function creates two local variables, total and count that are used to compute the root mean squared error. This average is weighted by we... | |
doc_3381 | operator.__abs__(obj)
Return the absolute value of obj. | |
doc_3382 | Get the list of Nodes that constitute this Graph. Note that this Node list representation is a doubly-linked list. Mutations during iteration (e.g. delete a Node, add a Node) are safe. Returns
A doubly-linked list of Nodes. Note that reversed can be called on this list to switch iteration order. | |
doc_3383 | tf.initializers.deserialize Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.initializers.deserialize
tf.keras.initializers.deserialize(
config, custom_objects=None
) | |
doc_3384 | Token value for "/=". | |
doc_3385 |
Define how the connection between two line segments is drawn. For a visual impression of each JoinStyle, view these docs online, or run JoinStyle.demo. Lines in Matplotlib are typically defined by a 1D Path and a finite linewidth, where the underlying 1D Path represents the center of the stroked line. By default, Gra... | |
doc_3386 |
Container for manipulating Callgrind results. It supports:
Addition and subtraction to combine or diff results. Tuple-like indexing. A denoise function which strips CPython calls which are known to be non-deterministic and quite noisy. Two higher order methods (filter and transform) for custom manipulation.
d... | |
doc_3387 | """
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_3388 | tf.summary.experimental.get_step()
Returns The step set by tf.summary.experimental.set_step() if one has been set, otherwise None. | |
doc_3389 |
Get the artist's bounding box in display space. The bounding box' width and height are nonnegative. Subclasses should override for inclusion in the bounding box "tight" calculation. Default is to return an empty bounding box at 0, 0. Be careful when using this function, the results will not update if the artist windo... | |
doc_3390 | Represents the C 64-bit signed int datatype. Usually an alias for c_longlong. | |
doc_3391 |
Check if indexer is a valid array indexer for array. For a boolean mask, array and indexer are checked to have the same length. The dtype is validated, and if it is an integer or boolean ExtensionArray, it is checked if there are missing values present, and it is converted to the appropriate numpy array. Other dtypes... | |
doc_3392 | tf.compat.v1.to_double(
x, name='ToDouble'
)
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 SparseT... | |
doc_3393 | unlock()
Three locking mechanisms are used—dot locking and, if available, the flock() and lockf() system calls. | |
doc_3394 | Decode a binhex file input. input may be a filename or a file-like object supporting read() and close() methods. The resulting file is written to a file named output, unless the argument is None in which case the output filename is read from the binhex file. | |
doc_3395 | This controls the minimum number of forms to show in the inline. See modelformset_factory() for more information. InlineModelAdmin.get_min_num() also allows you to customize the minimum number of displayed forms. | |
doc_3396 |
Call self as a function. | |
doc_3397 |
Parameters
padfloat
Fraction of the axes height.
Examples using mpl_toolkits.axes_grid1.axes_rgb.make_rgb_axes
Showing RGB channels using RGBAxes | |
doc_3398 |
Fit the imputer on X. Parameters
Xarray-like shape of (n_samples, n_features)
Input data, where n_samples is the number of samples and n_features is the number of features. Returns
selfobject | |
doc_3399 |
A 1-D view of the scalar. |
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