_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_26800 | List subscribed mailbox names in directory matching pattern. directory defaults to the top level directory and pattern defaults to match any mailbox. Returned data are tuples of message part envelope and data. | |
doc_26801 | See Migration guide for more details. tf.compat.v1.train.Coordinator
tf.train.Coordinator(
clean_stop_exception_types=None
)
This class implements a simple mechanism to coordinate the termination of a set of threads. Usage: # Create a coordinator.
coord = Coordinator()
# Start a number of threads, passing the co... | |
doc_26802 |
Helper function to normalize kwarg inputs. Parameters
kwdict or None
A dict of keyword arguments. None is explicitly supported and treated as an empty dict, to support functions with an optional parameter of the form props=None.
alias_mappingdict or Artist subclass or Artist instance, optional
A mapping bet... | |
doc_26803 |
Calculate the expanding 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 a DataFrame. If True then all ... | |
doc_26804 |
Format a floating-point scalar as a decimal string in scientific notation. Provides control over rounding, trimming and padding. Uses and assumes IEEE unbiased rounding. Uses the “Dragon4” algorithm. Parameters
xpython float or numpy floating scalar
Value to format.
precisionnon-negative integer or None, opti... | |
doc_26805 | Registers a template context processor function. Parameters
f (Callable[[], Dict[str, Any]]) – Return type
Callable[[], Dict[str, Any]] | |
doc_26806 |
Checks if all work currently captured by event has completed. Returns
A boolean indicating if all work currently captured by event has completed. | |
doc_26807 | On Unix and Windows, return the argument with an initial component of ~ or ~user replaced by that user’s home directory. On Unix, an initial ~ is replaced by the environment variable HOME if it is set; otherwise the current user’s home directory is looked up in the password directory through the built-in module pwd. An... | |
doc_26808 | Alias for torch.gt(). | |
doc_26809 | An optional string of a field name (with an optional "-" prefix which indicates descending order) or an expression (or a tuple or list of strings and/or expressions) that specifies the ordering of the elements in the result list. Examples: 'some_field'
'-some_field'
from django.db.models import F
F('some_field').desc() | |
doc_26810 | Is True if the Tensor uses sparse storage layout, False otherwise. | |
doc_26811 | Release the underlying buffer exposed by the memoryview object. Many objects take special actions when a view is held on them (for example, a bytearray would temporarily forbid resizing); therefore, calling release() is handy to remove these restrictions (and free any dangling resources) as soon as possible. After this... | |
doc_26812 | sklearn.metrics.mean_squared_log_error(y_true, y_pred, *, sample_weight=None, multioutput='uniform_average') [source]
Mean squared logarithmic error regression loss. Read more in the User Guide. Parameters
y_truearray-like of shape (n_samples,) or (n_samples, n_outputs)
Ground truth (correct) target values.
y... | |
doc_26813 | Enable stricter semantics for mixing floats and Decimals. If the signal is not trapped (default), mixing floats and Decimals is permitted in the Decimal constructor, create_decimal() and all comparison operators. Both conversion and comparisons are exact. Any occurrence of a mixed operation is silently recorded by sett... | |
doc_26814 |
Destroy the tool. This method is called by ToolManager.remove_tool. | |
doc_26815 | Default widget: EmailInput
Empty value: Whatever you’ve given as empty_value. Normalizes to: A string. Uses EmailValidator to validate that the given value is a valid email address, using a moderately complex regular expression. Error message keys: required, invalid
Has three optional arguments max_length, min_leng... | |
doc_26816 |
Return the mean accuracy on the given test data and labels. In multi-label classification, this is the subset accuracy which is a harsh metric since you require for each sample that each label set be correctly predicted. Parameters
Xarray-like of shape (n_samples, n_features)
Test samples.
yarray-like of shap... | |
doc_26817 |
Bases: mpl_toolkits.axes_grid1.axes_grid.CbarAxesBase, mpl_toolkits.axisartist.axislines.Axes [Deprecated] Notes Deprecated since version 3.5: Build an Axes in a figure. Parameters
figFigure
The Axes is built in the Figure fig.
rect[left, bottom, width, height]
The Axes is built in the rectangle rect. re... | |
doc_26818 |
Set if artist is to be included in layout calculations, E.g. Constrained Layout Guide, Figure.tight_layout(), and fig.savefig(fname, bbox_inches='tight'). Parameters
in_layoutbool | |
doc_26819 |
Set the height of the rectangle. | |
doc_26820 |
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_26821 | policy is an object implementing the CookiePolicy interface. The CookieJar class stores HTTP cookies. It extracts cookies from HTTP requests, and returns them in HTTP responses. CookieJar instances automatically expire contained cookies when necessary. Subclasses are also responsible for storing and retrieving cookies ... | |
doc_26822 |
Bases: torch.distributions.distribution.Distribution The MixtureSameFamily distribution implements a (batch of) mixture distribution where all component are from different parameterizations of the same distribution type. It is parameterized by a Categorical “selecting distribution” (over k component) and a component ... | |
doc_26823 |
Return x minus best fit line; 'linear' detrending. Parameters
y0-D or 1-D array or sequence
Array or sequence containing the data See also detrend_mean
Another detrend algorithm. detrend_none
Another detrend algorithm. detrend
A wrapper around all the detrend algorithms. | |
doc_26824 | A subclass of ConnectionError, raised when a connection is reset by the peer. Corresponds to errno ECONNRESET. | |
doc_26825 | The internal LocalStack that holds AppContext instances. Typically, the current_app and g proxies should be accessed instead of the stack. Extensions can access the contexts on the stack as a namespace to store data. Changelog New in version 0.9. | |
doc_26826 | Create a directory named pkg_dir containing an __init__ file with init_source as its contents. | |
doc_26827 | See Migration guide for more details. tf.compat.v1.raw_ops.LeakyRelu
tf.raw_ops.LeakyRelu(
features, alpha=0.2, name=None
)
Args
features A Tensor. Must be one of the following types: half, bfloat16, float32, float64.
alpha An optional float. Defaults to 0.2.
name A name for the operation (o... | |
doc_26828 | Wait till an object in object_list is ready. Returns the list of those objects in object_list which are ready. If timeout is a float then the call blocks for at most that many seconds. If timeout is None then it will block for an unlimited period. A negative timeout is equivalent to a zero timeout. For both Unix and Wi... | |
doc_26829 | tf.ones_like(
input, dtype=None, name=None
)
See also tf.ones. Given a single tensor (tensor), this operation returns a tensor of the same type and shape as tensor with all elements set to 1. Optionally, you can use dtype to specify a new type for the returned tensor. For example:
tensor = tf.constant([[1, 2, 3],... | |
doc_26830 |
Compute last of group values. Parameters
numeric_only:bool, default False
Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data.
min_count:int, default -1
The required number of valid values to perform the operation. If fewer than min_count non-NA valu... | |
doc_26831 | tf.compat.v1.nn.max_pool_with_argmax(
input, ksize, strides, padding, data_format='NHWC', Targmax=None,
name=None, output_dtype=None, include_batch_in_index=False
)
The indices in argmax are flattened, so that a maximum value at position [b, y, x, c] becomes flattened index: (y * width + x) * channels + c if i... | |
doc_26832 |
Dimensionality reduction using truncated SVD (aka LSA). This transformer performs linear dimensionality reduction by means of truncated singular value decomposition (SVD). Contrary to PCA, this estimator does not center the data before computing the singular value decomposition. This means it can work with sparse mat... | |
doc_26833 | See Migration guide for more details. tf.compat.v1.raw_ops.SparseApplyMomentum
tf.raw_ops.SparseApplyMomentum(
var, accum, lr, grad, indices, momentum, use_locking=False, use_nesterov=False,
name=None
)
Set use_nesterov = True if you want to use Nesterov momentum. That is for rows we have grad for, we update... | |
doc_26834 | class ast.Or
Boolean operator tokens. | |
doc_26835 | Generate an etag for some data. Changed in version 2.0: Use SHA-1. MD5 may not be available in some environments. Parameters
data (bytes) – Return type
str | |
doc_26836 | class sklearn.linear_model.LassoCV(*, eps=0.001, n_alphas=100, alphas=None, fit_intercept=True, normalize=False, precompute='auto', max_iter=1000, tol=0.0001, copy_X=True, cv=None, verbose=False, n_jobs=None, positive=False, random_state=None, selection='cyclic') [source]
Lasso linear model with iterative fitting alo... | |
doc_26837 |
Remove the artist from the figure if possible. The effect will not be visible until the figure is redrawn, e.g., with FigureCanvasBase.draw_idle. Call relim to update the axes limits if desired. Note: relim will not see collections even if the collection was added to the axes with autolim = True. Note: there is no su... | |
doc_26838 |
Upsamples the input, using bilinear upsampling. Warning This function is deprecated in favor of torch.nn.quantized.functional.interpolate(). This is equivalent with nn.quantized.functional.interpolate(..., mode='bilinear', align_corners=True). Note The input quantization parameters propagate to the output. Note ... | |
doc_26839 |
Decays the learning rate of each parameter group by gamma every epoch. When last_epoch=-1, sets initial lr as lr. Parameters
optimizer (Optimizer) – Wrapped optimizer.
gamma (float) – Multiplicative factor of learning rate decay.
last_epoch (int) – The index of last epoch. Default: -1.
verbose (bool) – If True... | |
doc_26840 |
Get the yaxis' tick labels. Parameters
minorbool
Whether to return the minor or the major ticklabels.
whichNone, ('minor', 'major', 'both')
Overrides minor. Selects which ticklabels to return Returns
list of Text
Notes The tick label strings are not populated until a draw method has been called. Se... | |
doc_26841 | Return list of triples describing non-overlapping matching subsequences. Each triple is of the form (i, j, n), and means that a[i:i+n] == b[j:j+n]. The triples are monotonically increasing in i and j. The last triple is a dummy, and has the value (len(a), len(b), 0). It is the only triple with n == 0. If (i, j, n) and ... | |
doc_26842 | An enum class of available backends. PyTorch ships with two builtin backends: BackendType.TENSORPIPE and BackendType.PROCESS_GROUP. Additional ones can be registered using the register_backend() function. | |
doc_26843 | Enqueues the result of preparing the LogRecord. Should an exception occur (e.g. because a bounded queue has filled up), the handleError() method is called to handle the error. This can result in the record silently being dropped (if logging.raiseExceptions is False) or a message printed to sys.stderr (if logging.raiseE... | |
doc_26844 | Return the process ID. Before the process is spawned, this will be None. | |
doc_26845 |
Return a sample data file. fname is a path relative to the mpl-data/sample_data directory. If asfileobj is True return a file object, otherwise just a file path. Sample data files are stored in the 'mpl-data/sample_data' directory within the Matplotlib package. If the filename ends in .gz, the file is implicitly ungz... | |
doc_26846 | See Migration guide for more details. tf.compat.v1.raw_ops.FractionalMaxPoolGrad
tf.raw_ops.FractionalMaxPoolGrad(
orig_input, orig_output, out_backprop, row_pooling_sequence,
col_pooling_sequence, overlapping=False, name=None
)
Args
orig_input A Tensor. Must be one of the following types: float32, ... | |
doc_26847 |
Test whether all array elements along a given axis evaluate to True. Parameters
aarray_like
Input array or object that can be converted to an array.
axisNone or int or tuple of ints, optional
Axis or axes along which a logical AND reduction is performed. The default (axis=None) is to perform a logical AND o... | |
doc_26848 | Returns a dictionary containing a whole state of the module. Both parameters and persistent buffers (e.g. running averages) are included. Keys are corresponding parameter and buffer names. Returns
a dictionary containing a whole state of the module Return type
dict Example: >>> module.state_dict().keys()
['bias',... | |
doc_26849 |
Set the zorder for the artist. Artists with lower zorder values are drawn first. Parameters
levelfloat | |
doc_26850 |
Convert a Laguerre series to a polynomial. Convert an array representing the coefficients of a Laguerre series, ordered from lowest degree to highest, to an array of the coefficients of the equivalent polynomial (relative to the “standard” basis) ordered from lowest to highest degree. Parameters
carray_like
1-D... | |
doc_26851 |
Bases: matplotlib.offsetbox.AnchoredOffsetbox AnchoredOffsetbox with Text. Parameters
sstr
Text.
locstr
Location code. See AnchoredOffsetbox.
padfloat, default: 0.4
Padding around the text as fraction of the fontsize.
borderpadfloat, default: 0.5
Spacing between the offsetbox frame and the bbox_to_a... | |
doc_26852 |
Create a quantized module from a float module or qparams_dict Parameters
mod (Module) – a float module, either produced by torch.quantization utilities or provided by the user | |
doc_26853 |
Raised when attempting an astype operation on an array with NaN to an integer dtype. | |
doc_26854 | Return the harmonic mean of data, a sequence or iterable of real-valued numbers. The harmonic mean, sometimes called the subcontrary mean, is the reciprocal of the arithmetic mean() of the reciprocals of the data. For example, the harmonic mean of three values a, b and c will be equivalent to 3/(1/a + 1/b + 1/c). If on... | |
doc_26855 |
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_26856 | See Migration guide for more details. tf.compat.v1.raw_ops.IteratorGetNextAsOptional
tf.raw_ops.IteratorGetNextAsOptional(
iterator, output_types, output_shapes, name=None
)
Args
iterator A Tensor of type resource.
output_types A list of tf.DTypes that has length >= 1.
output_shapes A list o... | |
doc_26857 | """
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_26858 |
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_26859 |
Run a test module. Equivalent to calling $ nosetests <argv> <file_to_run> from the command line Parameters
file_to_runstr, optional
Path to test module, or None. By default, run the module from which this function is called.
argvlist of strings
Arguments to be passed to the nose test runner. argv[0] is igno... | |
doc_26860 |
Accessor object for datetimelike properties of the Series values. Examples
>>> seconds_series = pd.Series(pd.date_range("2000-01-01", periods=3, freq="s"))
>>> seconds_series
0 2000-01-01 00:00:00
1 2000-01-01 00:00:01
2 2000-01-01 00:00:02
dtype: datetime64[ns]
>>> seconds_series.dt.second
0 0
1 1
2 ... | |
doc_26861 |
[Deprecated] Notes Deprecated since version 3.4: | |
doc_26862 | Returns a tzinfo instance that represents the default time zone. | |
doc_26863 |
Return a copy of the array. Returns
ExtensionArray | |
doc_26864 | See Migration guide for more details. tf.compat.v1.raw_ops.ImageProjectiveTransformV2
tf.raw_ops.ImageProjectiveTransformV2(
images, transforms, output_shape, interpolation, fill_mode='CONSTANT',
name=None
)
If one row of transforms is [a0, a1, a2, b0, b1, b2, c0, c1], then it maps the output point (x, y) to... | |
doc_26865 |
Attributes
data_class DataClass data_class
display_name string display_name
plugin_data PluginData plugin_data
summary_description string summary_description Child Classes class PluginData | |
doc_26866 | tf.keras.layers.GlobalMaxPooling2D Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.layers.GlobalMaxPool2D, tf.compat.v1.keras.layers.GlobalMaxPooling2D
tf.keras.layers.GlobalMaxPool2D(
data_format=None, **kwargs
)
Examples:
input_shape = (2, 4, 5, 3)
x = tf.random.normal(in... | |
doc_26867 | self.byte() is equivalent to self.to(torch.uint8). See to(). Parameters
memory_format (torch.memory_format, optional) – the desired memory format of returned Tensor. Default: torch.preserve_format. | |
doc_26868 | tf.feature_column.categorical_column_with_vocabulary_file(
key, vocabulary_file, vocabulary_size=None, dtype=tf.dtypes.string,
default_value=None, num_oov_buckets=0
)
Use this when your inputs are in string or integer format, and you have a vocabulary file that maps each value to an integer ID. By default, out... | |
doc_26869 | See Migration guide for more details. tf.compat.v1.estimator.MultiClassHead
tf.estimator.MultiClassHead(
n_classes, weight_column=None, label_vocabulary=None,
loss_reduction=losses_utils.ReductionV2.SUM_OVER_BATCH_SIZE, loss_fn=None,
name=None
)
Uses sparse_softmax_cross_entropy loss. The head expects lo... | |
doc_26870 |
Does nothing here, but is called by the get_version method and can be overridden by subclasses. In particular it is redefined in the FCompiler class where more documentation can be found. | |
doc_26871 | Whether to match the peer cert’s hostname in SSLSocket.do_handshake(). The context’s verify_mode must be set to CERT_OPTIONAL or CERT_REQUIRED, and you must pass server_hostname to wrap_socket() in order to match the hostname. Enabling hostname checking automatically sets verify_mode from CERT_NONE to CERT_REQUIRED. It... | |
doc_26872 | See Migration guide for more details. tf.compat.v1.data.experimental.map_and_batch
tf.data.experimental.map_and_batch(
map_func, batch_size, num_parallel_batches=None, drop_remainder=False,
num_parallel_calls=None
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions fo... | |
doc_26873 |
The number of arguments. Data attribute containing the number of arguments the ufunc takes, including optional ones. Notes Typically this value will be one more than what you might expect because all ufuncs take the optional “out” argument. Examples >>> np.add.nargs
3
>>> np.multiply.nargs
3
>>> np.power.nargs
3
>>> ... | |
doc_26874 | This class implements the actual IMAP4 protocol. The connection is created and protocol version (IMAP4 or IMAP4rev1) is determined when the instance is initialized. If host is not specified, '' (the local host) is used. If port is omitted, the standard IMAP4 port (143) is used. The optional timeout parameter specifies ... | |
doc_26875 | tf.losses.KLDivergence Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losses.KLDivergence
tf.keras.losses.KLDivergence(
reduction=losses_utils.ReductionV2.AUTO, name='kl_divergence'
)
loss = y_true * log(y_true / y_pred) See: https://en.wikipedia.org/wiki/Kullback%E2%80%93L... | |
doc_26876 |
Return a new array of given shape and type, without initializing entries. Parameters
shapeint or tuple of int
Shape of the empty array, e.g., (2, 3) or 2.
dtypedata-type, optional
Desired output data-type for the array, e.g, numpy.int8. Default is numpy.float64.
order{‘C’, ‘F’}, optional, default: ‘C’
W... | |
doc_26877 | See Migration guide for more details. tf.compat.v1.linalg.matrix_transpose, tf.compat.v1.linalg.transpose, tf.compat.v1.matrix_transpose
tf.linalg.matrix_transpose(
a, name='matrix_transpose', conjugate=False
)
For example: x = tf.constant([[1, 2, 3], [4, 5, 6]])
tf.linalg.matrix_transpose(x) # [[1, 4],
... | |
doc_26878 | HTTP protocol version used by server. 10 for HTTP/1.0, 11 for HTTP/1.1. | |
doc_26879 | uninitialize the midi module quit() -> None Uninitializes the pygame.midi module. If pygame.midi.init() was called to initialize the pygame.midi module, then this function will be called automatically when your program exits. It is safe to call this function more than once. | |
doc_26880 |
Convert a DataFrame with sparse values to dense. New in version 0.25.0. Returns
DataFrame
A DataFrame with the same values stored as dense arrays. Examples
>>> df = pd.DataFrame({"A": pd.arrays.SparseArray([0, 1, 0])})
>>> df.sparse.to_dense()
A
0 0
1 1
2 0 | |
doc_26881 |
Add text to the Axes. Add the text s to the Axes at location x, y in data coordinates. Parameters
x, yfloat
The position to place the text. By default, this is in data coordinates. The coordinate system can be changed using the transform parameter.
sstr
The text.
fontdictdict, default: None
A dictionary... | |
doc_26882 |
Sets the seed for generating random numbers for the current GPU. It’s safe to call this function if CUDA is not available; in that case, it is silently ignored. Parameters
seed (int) – The desired seed. Warning If you are working with a multi-GPU model, this function is insufficient to get determinism. To seed a... | |
doc_26883 | import matplotlib.pyplot as plt
x = np.arange(0, 5, 0.1)
y = np.sin(x)
plt.plot(x, y)
The explicit (object-oriented) API is recommended for complex plots, though pyplot is still usually used to create the figure and often the axes in the figure. See pyplot.figure, pyplot.subplots, and pyplot.subplot_mosaic to create ... | |
doc_26884 |
Solves a dictionary learning matrix factorization problem. Finds the best dictionary and the corresponding sparse code for approximating the data matrix X by solving: (U^*, V^*) = argmin 0.5 || X - U V ||_2^2 + alpha * || U ||_1
(U,V)
with || V_k ||_2 = 1 for all 0 <= k < n_components
where... | |
doc_26885 | Check a password against a given salted and hashed password value. In order to support unsalted legacy passwords this method supports plain text passwords, md5 and sha1 hashes (both salted and unsalted). Returns True if the password matched, False otherwise. Parameters
pwhash (str) – a hashed string like returned b... | |
doc_26886 |
Raise all references of o to the top of the stack, and return it. Raises
ValueError
If o is not in the stack. | |
doc_26887 |
Return a boolean array where the index values are in values. Compute boolean array of whether each index value is found in the passed set of values. The length of the returned boolean array matches the length of the index. Parameters
values:set or list-like
Sought values.
level:str or int, optional
Name or ... | |
doc_26888 |
Number of microseconds (>= 0 and less than 1 second). | |
doc_26889 | The absolute path to the directory whose contents you want listed. This directory must exist. | |
doc_26890 |
Returns whether PyTorch’s CUDA state has been initialized. | |
doc_26891 | Bind the socket to address. The socket must not already be bound. (The format of address depends on the address family — see above.) Raises an auditing event socket.bind with arguments self, address. | |
doc_26892 | Associates level level with text levelName in an internal dictionary, which is used to map numeric levels to a textual representation, for example when a Formatter formats a message. This function can also be used to define your own levels. The only constraints are that all levels used must be registered using this fun... | |
doc_26893 | Sparse representation of the fitted coef_. | |
doc_26894 | Windows only: return the filename of the VC runtime library used by Python, and by the extension modules. If the name of the library cannot be determined, None is returned. If you need to free memory, for example, allocated by an extension module with a call to the free(void *), it is important that you use the functio... | |
doc_26895 |
Plot 2D or 3D data. Parameters
xs1D array-like
x coordinates of vertices.
ys1D array-like
y coordinates of vertices.
zsfloat or 1D array-like
z coordinates of vertices; either one for all points or one for each point.
zdir{'x', 'y', 'z'}, default: 'z'
When plotting 2D data, the direction to use as z... | |
doc_26896 |
Alias for set_facecolor. | |
doc_26897 |
A wrapper around Python’s assert which is symbolically traceable. | |
doc_26898 |
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_26899 |
Set the path effects. Parameters
path_effectsAbstractPathEffect |
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