_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_13700 |
Return the maximum along a given axis. Parameters
axis{None, int}, optional
Axis along which to operate. By default, axis is None and the flattened input is used.
outarray_like, optional
Alternative output array in which to place the result. Must be of the same shape and buffer length as the expected output... | |
doc_13701 |
Perform fit on X and returns labels for X. Returns -1 for outliers and 1 for inliers. Parameters
X{array-like, sparse matrix, dataframe} of shape (n_samples, n_features)
yIgnored
Not used, present for API consistency by convention. Returns
yndarray of shape (n_samples,)
1 for inliers, -1 for outliers. | |
doc_13702 | Tests if each element of input has its sign bit set (is less than zero) or not. Parameters
input (Tensor) – the input tensor. Keyword Arguments
out (Tensor, optional) – the output tensor. Example: >>> a = torch.tensor([0.7, -1.2, 0., 2.3])
>>> torch.signbit(a)
tensor([ False, True, False, False]) | |
doc_13703 | A subclass of ImproperConnectionState. | |
doc_13704 |
The day of the week with Monday=0, Sunday=6. Return the day of the week. It is assumed the week starts on Monday, which is denoted by 0 and ends on Sunday which is denoted by 6. This method is available on both Series with datetime values (using the dt accessor) or DatetimeIndex. Returns
Series or Index
Containin... | |
doc_13705 | tf.optimizers.SGD Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.optimizers.SGD
tf.keras.optimizers.SGD(
learning_rate=0.01, momentum=0.0, nesterov=False, name='SGD', **kwargs
)
Update rule for parameter w with gradient g when momentum is 0: w = w - learning_rate * g
Updat... | |
doc_13706 | 'DEFAULT_RENDERER_CLASSES': [
'rest_framework.renderers.JSONRenderer',
'rest_framework.renderers.BrowsableAPIRenderer',
]
}
You can also set the renderers used for an individual view, or viewset, using the APIView class-based views. from django.contrib.auth.models import User
from rest_framewor... | |
doc_13707 |
Return whether face is colored. | |
doc_13708 |
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 array-like or scalar or None
animated bool
antialiased or aa or antialiaseds bool or list of bools
array a... | |
doc_13709 | Prevents a document from loading any cross-origin resources that do not explicitly grant the document permission. Values must be a member of the werkzeug.http.COEP enum. | |
doc_13710 | Return a list of network interface information (index int, name string) tuples. OSError if the system call fails. Availability: Unix, Windows. New in version 3.3. Changed in version 3.8: Windows support was added. Note On Windows network interfaces have different names in different contexts (all names are examples... | |
doc_13711 |
Bases: matplotlib.offsetbox.OffsetBox An offset box placed according to location loc. AnchoredOffsetbox has a single child. When multiple children are needed, use an extra OffsetBox to enclose them. By default, the offset box is anchored against its parent axes. You may explicitly specify the bbox_to_anchor. Paramet... | |
doc_13712 | A one-character string used to quote fields containing special characters, such as the delimiter or quotechar, or which contain new-line characters. It defaults to '"'. | |
doc_13713 | Return the current setting for feature featurename. If the feature is not recognized, SAXNotRecognizedException is raised. The well-known featurenames are listed in the module xml.sax.handler. | |
doc_13714 | tf.compat.v1.scatter_add(
ref, indices, updates, use_locking=False, name=None
)
This operation computes # 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, ...,... | |
doc_13715 |
alias of mpl_toolkits.axisartist.floating_axes.FloatingAxesHostAxes | |
doc_13716 | The type for code objects such as returned by compile(). Raises an auditing event code.__new__ with arguments code, filename, name, argcount, posonlyargcount, kwonlyargcount, nlocals, stacksize, flags. Note that the audited arguments may not match the names or positions required by the initializer. The audit event only... | |
doc_13717 | socket.PF_PACKET
PACKET_*
Many constants of these forms, documented in the Linux documentation, are also defined in the socket module. Availability: Linux >= 2.2. | |
doc_13718 | load an image from a file (or file-like object) load_extended(filename) -> Surface load_extended(fileobj, namehint="") -> Surface This function is similar to pygame.image.load(), except that this function can only be used if pygame was built with extended image format support. From version 2.0.1, this function is alw... | |
doc_13719 |
Compute prod 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_13720 |
Sort by the values. Sort a Series in ascending or descending order by some criterion. Parameters
axis:{0 or ‘index’}, default 0
Axis to direct sorting. The value ‘index’ is accepted for compatibility with DataFrame.sort_values.
ascending:bool or list of bools, default True
If True, sort values in ascending ... | |
doc_13721 | The first source line of the code object (if available) | |
doc_13722 | Wait until the event is set. If the event is set, return True immediately. Otherwise block until another task calls set(). | |
doc_13723 |
Forces completion of a torch.jit.Future[T] asynchronous task, returning the result of the task. See fork() for docs and examples. :param func: an asynchronous task reference, created through torch.jit.fork :type func: torch.jit.Future[T] Returns
the return value of the the completed task Return type
T | |
doc_13724 | Convert a value to a tagged representation if necessary. Parameters
value (Any) – Return type
Dict[str, Any] | |
doc_13725 | operator.__contains__(a, b)
Return the outcome of the test b in a. Note the reversed operands. | |
doc_13726 | Return the sum of x and y. | |
doc_13727 | tf.estimator.experimental.RNNClassifier(
sequence_feature_columns, context_feature_columns=None, units=None,
cell_type=USE_DEFAULT, rnn_cell_fn=None, return_sequences=False, model_dir=None,
n_classes=2, weight_column=None, label_vocabulary=None,
optimizer='Adagrad',
loss_reduction=losses_utils.Reduc... | |
doc_13728 |
Used if copy.deepcopy is called on an array. | |
doc_13729 |
Set whether the artist is intended to be used in an animation. If True, the artist is excluded from regular drawing of the figure. You have to call Figure.draw_artist / Axes.draw_artist explicitly on the artist. This appoach is used to speed up animations using blitting. See also matplotlib.animation and Faster rende... | |
doc_13730 |
Returns a list of feature names, ordered by their indices. If one-of-K coding is applied to categorical features, this will include the constructed feature names but not the original ones. | |
doc_13731 | os.O_DIRECT
os.O_DIRECTORY
os.O_NOFOLLOW
os.O_NOATIME
os.O_PATH
os.O_TMPFILE
os.O_SHLOCK
os.O_EXLOCK
The above constants are extensions and not present if they are not defined by the C library. Changed in version 3.4: Add O_PATH on systems that support it. Add O_TMPFILE, only available on Linux Kernel ... | |
doc_13732 |
Make box plots from DataFrameGroupBy data. Parameters
grouped:Grouped DataFrame
subplots:bool
False - no subplots will be used True - create a subplot for each group.
column:column name or list of names, or vector
Can be any valid input to groupby.
fontsize:int or str
rot:label rotation angle
grid... | |
doc_13733 |
Apply the power transform to each feature using the fitted lambdas. Parameters
Xarray-like of shape (n_samples, n_features)
The data to be transformed using a power transformation. Returns
X_transndarray of shape (n_samples, n_features)
The transformed data. | |
doc_13734 | See Migration guide for more details. tf.compat.v1.raw_ops.Erfc
tf.raw_ops.Erfc(
x, name=None
)
Args
x A Tensor. Must be one of the following types: bfloat16, half, float32, float64.
name A name for the operation (optional).
Returns A Tensor. Has the same type as x. | |
doc_13735 | Return the normal form form for the Unicode string unistr. Valid values for form are ‘NFC’, ‘NFKC’, ‘NFD’, and ‘NFKD’. The Unicode standard defines various normalization forms of a Unicode string, based on the definition of canonical equivalence and compatibility equivalence. In Unicode, several characters can be expre... | |
doc_13736 |
Draw lines on the colorbar. The lines are appended to the list lines. Parameters
levelsarray-like
The positions of the lines.
colorscolor or list of colors
Either a single color applying to all lines or one color value for each line.
linewidthsfloat or array-like
Either a single linewidth applying to al... | |
doc_13737 | The name of the manager to use for the model’s _default_manager. | |
doc_13738 |
Create and return a ctypes object from a numpy array. Actually anything that exposes the __array_interface__ is accepted. | |
doc_13739 | By default, wake up one thread waiting on this condition, if any. If the calling thread has not acquired the lock when this method is called, a RuntimeError is raised. This method wakes up at most n of the threads waiting for the condition variable; it is a no-op if no threads are waiting. The current implementation wa... | |
doc_13740 | Call to <new_target>.dnd_enter(source, event)
Call to <target>.dnd_commit(source, event) to notify of drop Call to <source>.dnd_end(target, event) to signal end of drag-and-drop
class tkinter.dnd.DndHandler(source, event)
The DndHandler class handles drag-and-drop events tracking Motion and ButtonRelease events ... | |
doc_13741 |
Return the corresponding inverse transformation. It holds x == self.inverted().transform(self.transform(x)). The return value of this method should be treated as temporary. An update to self does not cause a corresponding update to its inverted copy. | |
doc_13742 | See Migration guide for more details. tf.compat.v1.raw_ops.TruncatedNormal
tf.raw_ops.TruncatedNormal(
shape, dtype, seed=0, seed2=0, name=None
)
The generated values follow a normal distribution with mean 0 and standard deviation 1, except that values whose magnitude is more than 2 standard deviations from the ... | |
doc_13743 |
Return the default unit for x or None for the given axis. | |
doc_13744 | See Migration guide for more details. tf.compat.v1.one_hot
tf.one_hot(
indices, depth, on_value=None, off_value=None, axis=None, dtype=None, name=None
)
See also tf.fill, tf.eye. The locations represented by indices in indices take value on_value, while all other locations take value off_value. on_value and off_... | |
doc_13745 | Return an OpenerDirector instance, which chains the handlers in the order given. handlers can be either instances of BaseHandler, or subclasses of BaseHandler (in which case it must be possible to call the constructor without any parameters). Instances of the following classes will be in front of the handlers, unless t... | |
doc_13746 | Return whether the Unicode string unistr is in the normal form form. Valid values for form are ‘NFC’, ‘NFKC’, ‘NFD’, and ‘NFKD’. New in version 3.8. | |
doc_13747 | Get number of calls. Returns
n_calls: int
number of distance computation calls | |
doc_13748 |
Performs a single optimization step. Parameters
closure (callable, optional) – A closure that reevaluates the model and returns the loss. | |
doc_13749 | This method is the main public interface to the TextTestRunner. This method takes a TestSuite or TestCase instance. A TestResult is created by calling _makeResult() and the test(s) are run and the results printed to stdout. | |
doc_13750 | Event handler for single-click event on file. | |
doc_13751 | Uuencode file in_file into file out_file. The uuencoded file will have the header specifying name and mode as the defaults for the results of decoding the file. The default defaults are taken from in_file, or '-' and 0o666 respectively. If backtick is true, zeros are represented by '`' instead of spaces. Changed in ve... | |
doc_13752 |
Computes the Mean Squared Error between two covariance estimators. (In the sense of the Frobenius norm). Parameters
comp_covarray-like of shape (n_features, n_features)
The covariance to compare with.
norm{“frobenius”, “spectral”}, default=”frobenius”
The type of norm used to compute the error. Available er... | |
doc_13753 |
An object to simplify the interaction of the array with the ctypes module. This attribute creates an object that makes it easier to use arrays when calling shared libraries with the ctypes module. The returned object has, among others, data, shape, and strides attributes (see Notes below) which themselves return ctyp... | |
doc_13754 |
Find the edge magnitude using the Farid transform. Parameters
image2-D array
Image to process.
mask2-D array, optional
An optional mask to limit the application to a certain area. Note that pixels surrounding masked regions are also masked to prevent masked regions from affecting the result. Returns
o... | |
doc_13755 | Decode the base85-encoded bytes-like object or ASCII string b and return the decoded bytes. Padding is implicitly removed, if necessary. New in version 3.4. | |
doc_13756 |
Fill NA/NaN values with the specified value. Parameters
value:scalar
Scalar value to use to fill holes (e.g. 0). This value cannot be a list-likes.
downcast:dict, default is None
A dict of item->dtype of what to downcast if possible, or the string ‘infer’ which will try to downcast to an appropriate equal t... | |
doc_13757 |
Return a dictionary of all the properties of the artist. | |
doc_13758 | See Migration guide for more details. tf.compat.v1.train.latest_checkpoint
tf.train.latest_checkpoint(
checkpoint_dir, latest_filename=None
)
Gets the checkpoint state given the provided checkpoint_dir and looks for a corresponding TensorFlow 2 (preferred) or TensorFlow 1.x checkpoint path. The latest_filename a... | |
doc_13759 |
Return boolean Series denoting duplicate rows. Considering certain columns is optional. Parameters
subset:column label or sequence of labels, optional
Only consider certain columns for identifying duplicates, by default use all of the columns.
keep:{‘first’, ‘last’, False}, default ‘first’
Determines which ... | |
doc_13760 |
Set the artist's clip Bbox. Parameters
clipboxBbox | |
doc_13761 |
Return whether the artist is animated. | |
doc_13762 |
Series basis polynomial of degree deg. Returns the series representing the basis polynomial of degree deg. New in version 1.7.0. Parameters
degint
Degree of the basis polynomial for the series. Must be >= 0.
domain{None, array_like}, optional
If given, the array must be of the form [beg, end], where beg a... | |
doc_13763 | Set the background property of the window to the character ch, with attributes attr. The change is then applied to every character position in that window: The attribute of every character in the window is changed to the new background attribute. Wherever the former background character appears, it is changed to the n... | |
doc_13764 |
Show ImageViewer and attached plugins. This behaves much like matplotlib.pyplot.show and QWidget.show. | |
doc_13765 | Return the names of defined fonts. | |
doc_13766 |
Return whether the artist is to be rasterized. | |
doc_13767 |
Special hook for ufuncs. Wraps the numpy array and sets the mask according to context. | |
doc_13768 |
Bases: torch.distributions.distribution.Distribution Creates a Geometric distribution parameterized by probs, where probs is the probability of success of Bernoulli trials. It represents the probability that in k+1k + 1 Bernoulli trials, the first kk trials failed, before seeing a success. Samples are non-negative ... | |
doc_13769 | New in Django 3.2. Callback signaling that the upload was interrupted, e.g. when the user closed their browser during file upload. | |
doc_13770 | See Migration guide for more details. tf.compat.v1.raw_ops.MatrixDiagPart
tf.raw_ops.MatrixDiagPart(
input, name=None
)
This operation returns a tensor with the diagonal part of the batched input. The diagonal part is computed as follows: Assume input has k dimensions [I, J, K, ..., M, N], then the output is a t... | |
doc_13771 |
Alias for get_linestyle. | |
doc_13772 | Checks for an ASCII alphabetic character; it is equivalent to isupper(c) or
islower(c). | |
doc_13773 | Adds object_list to the context. If allow_empty is True then display an empty list. If allow_empty is False then raise a 404 error. | |
doc_13774 | See Migration guide for more details. tf.compat.v1.raw_ops.RegexReplace
tf.raw_ops.RegexReplace(
input, pattern, rewrite, replace_global=True, name=None
)
replacement string provided in rewrite. It follows the re2 syntax (https://github.com/google/re2/wiki/Syntax) Args: input: A Tensor of type string. The text t... | |
doc_13775 | operator.__mul__(a, b)
Return a * b, for a and b numbers. | |
doc_13776 |
Convert series to series of this class. The series is expected to be an instance of some polynomial series of one of the types supported by by the numpy.polynomial module, but could be some other class that supports the convert method. New in version 1.7.0. Parameters
seriesseries
The series instance to be co... | |
doc_13777 | Acquire the lock. This method waits until the lock is unlocked, sets it to locked and returns True. When more than one coroutine is blocked in acquire() waiting for the lock to be unlocked, only one coroutine eventually proceeds. Acquiring a lock is fair: the coroutine that proceeds will be the first coroutine that sta... | |
doc_13778 | See Migration guide for more details. tf.compat.v1.raw_ops.Gather
tf.raw_ops.Gather(
params, indices, validate_indices=True, name=None
)
indices must be an integer tensor of any dimension (usually 0-D or 1-D). Produces an output tensor with shape indices.shape + params.shape[1:] where: # Scalar indices
output[:,... | |
doc_13779 | Register a new tag with this serializer. Parameters
tag_class (Type[flask.json.tag.JSONTag]) – tag class to register. Will be instantiated with this serializer instance.
force (bool) – overwrite an existing tag. If false (default), a KeyError is raised.
index (Optional[int]) – index to insert the new tag in the t... | |
doc_13780 | Integer or None. Netscape cookies have version 0. RFC 2965 and RFC 2109 cookies have a version cookie-attribute of 1. However, note that http.cookiejar may ‘downgrade’ RFC 2109 cookies to Netscape cookies, in which case version is 0. | |
doc_13781 |
Bases: torch.distributions.exp_family.ExponentialFamily Creates a normal (also called Gaussian) distribution parameterized by loc and scale. Example: >>> m = Normal(torch.tensor([0.0]), torch.tensor([1.0]))
>>> m.sample() # normally distributed with loc=0 and scale=1
tensor([ 0.1046])
Parameters
loc (float or T... | |
doc_13782 | See Migration guide for more details. tf.compat.v1.distribute.cluster_resolver.SlurmClusterResolver
tf.distribute.cluster_resolver.SlurmClusterResolver(
jobs=None, port_base=8888, gpus_per_node=None, gpus_per_task=None,
tasks_per_node=None, auto_set_gpu=True, rpc_layer='grpc'
)
This is an implementation of C... | |
doc_13783 | Gaussian distribution. mu is the mean, and sigma is the standard deviation. This is slightly faster than the normalvariate() function defined below. Multithreading note: When two threads call this function simultaneously, it is possible that they will receive the same return value. This can be avoided in three ways. 1)... | |
doc_13784 |
Draw a bounding box around self. Parameters
rectpropsdict with properties for patches.FancyBboxPatch
The default boxstyle is 'square'. The mutation scale of the patches.FancyBboxPatch is set to the fontsize. Examples t.set_bbox(dict(facecolor='red', alpha=0.5)) | |
doc_13785 |
Add video data to summary. Note that this requires the moviepy package. Parameters
tag (string) – Data identifier
vid_tensor (torch.Tensor) – Video data
global_step (int) – Global step value to record
fps (float or int) – Frames per second
walltime (float) – Optional override default walltime (time.time()) se... | |
doc_13786 |
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_13787 |
Returns the distance of each sample from the decision boundary for each class. This can only be used with estimators which implement the decision_function method. Parameters
Xarray-like of shape (n_samples, n_features)
Returns
Tarray-like of shape (n_samples, n_classes) or (n_samples,) for binary classifica... | |
doc_13788 |
Perform ceil operation on the data to the specified freq. Parameters
freq:str or Offset
The frequency level to ceil the index to. Must be a fixed frequency like ‘S’ (second) not ‘ME’ (month end). See frequency aliases for a list of possible freq values.
ambiguous:‘infer’, bool-ndarray, ‘NaT’, default ‘raise’
... | |
doc_13789 | tf.optimizers.Adam Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.optimizers.Adam
tf.keras.optimizers.Adam(
learning_rate=0.001, beta_1=0.9, beta_2=0.999, epsilon=1e-07, amsgrad=False,
name='Adam', **kwargs
)
Adam optimization is a stochastic gradient descent method tha... | |
doc_13790 | Size, in bytes, of the “chunks” Django should store into memory and feed into the handler. That is, this attribute controls the size of chunks fed into FileUploadHandler.receive_data_chunk. For maximum performance the chunk sizes should be divisible by 4 and should not exceed 2 GB (231 bytes) in size. When there are mu... | |
doc_13791 |
Return an array representing the data in the Index. Warning We recommend using Index.array or Index.to_numpy(), depending on whether you need a reference to the underlying data or a NumPy array. Returns
array: numpy.ndarray or ExtensionArray
See also Index.array
Reference to the underlying data. Index.to_... | |
doc_13792 |
UNUSED: Set the canvas size in pixels. Certain backends may implement a similar method internally, but this is not a requirement of, nor is it used by, Matplotlib itself. | |
doc_13793 | Returns the file system path to the resource. If the resource does not concretely exist on the file system, raise FileNotFoundError. | |
doc_13794 |
Select a scale for the range from vmin to vmax. Subclasses should override this method to change locator behaviour. | |
doc_13795 |
Bases: mpl_toolkits.axisartist.grid_helper_curvelinear.GridHelperCurveLinear aux_trans : a transform from the source (curved) coordinate to target (rectilinear) coordinate. An instance of MPL's Transform (inverse transform should be defined) or a tuple of two callable objects which defines the transform and its inver... | |
doc_13796 |
Perform Fast Independent Component Analysis. Read more in the User Guide. Parameters
Xarray-like of shape (n_samples, n_features)
Training vector, where n_samples is the number of samples and n_features is the number of features.
n_componentsint, default=None
Number of components to extract. If None no dime... | |
doc_13797 | The SSL version to use (defaults to ssl.PROTOCOL_SSLv23). | |
doc_13798 | Return the complex number x with polar coordinates r and phi. Equivalent to r * (math.cos(phi) + math.sin(phi)*1j). | |
doc_13799 | Return the shell-style pattern converted to a regular expression for using with re.match(). Example: >>> import fnmatch, re
>>>
>>> regex = fnmatch.translate('*.txt')
>>> regex
'(?s:.*\\.txt)\\Z'
>>> reobj = re.compile(regex)
>>> reobj.match('foobar.txt')
<re.Match object; span=(0, 10), match='foobar.txt'> |
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