_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_5800 | Sets the current time zone. The timezone argument must be an instance of a tzinfo subclass or a time zone name. | |
doc_5801 | A Popen creationflags parameter to specify that a new process will not create a window. New in version 3.7. | |
doc_5802 | Returns a ModelForm class for use in the admin add and change views, see add_view() and change_view(). The base implementation uses modelform_factory() to subclass form, modified by attributes such as fields and exclude. So, for example, if you wanted to offer additional fields to superusers, you could swap in a differ... | |
doc_5803 |
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 float or 2D array-like or None
animated bool
array array-like
clim (vmin: float, vmax: float)
clip_box B... | |
doc_5804 |
See MultiLabelSoftMarginLoss for details. | |
doc_5805 |
Sets the strategy for sharing CPU tensors. Parameters
new_strategy (str) – Name of the selected strategy. Should be one of the values returned by get_all_sharing_strategies(). | |
doc_5806 |
Call self as a function. | |
doc_5807 |
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_5808 | class imaplib.IMAP4(host='', port=IMAP4_PORT, timeout=None)
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... | |
doc_5809 |
Alias for set_linewidth. | |
doc_5810 | See Migration guide for more details. tf.compat.v1.keras.layers.deserialize
tf.keras.layers.deserialize(
config, custom_objects=None
)
Arguments
config dict of the form {'class_name': str, 'config': dict}
custom_objects dict mapping class names (or function names) of custom (non-Keras) objects to ... | |
doc_5811 | See Migration guide for more details. tf.compat.v1.app.flags.adopt_module_key_flags
tf.compat.v1.flags.adopt_module_key_flags(
module, flag_values=_flagvalues.FLAGS
)
Args
module module, the module object from which all key flags will be declared as key flags to the current module.
flag_values Fla... | |
doc_5812 | This method is called to process a named character reference of the form &name; (e.g. >), where name is a general entity reference (e.g. 'gt'). This method is never called if convert_charrefs is True. | |
doc_5813 | Return True if the object is a Python generator function. Changed in version 3.8: Functions wrapped in functools.partial() now return True if the wrapped function is a Python generator function. | |
doc_5814 | See Migration guide for more details. tf.compat.v1.estimator.experimental.stop_if_higher_hook
tf.estimator.experimental.stop_if_higher_hook(
estimator, metric_name, threshold, eval_dir=None, min_steps=0,
run_every_secs=60, run_every_steps=None
)
Usage example: estimator = ...
# Hook to stop training if accur... | |
doc_5815 | Disables denormal floating numbers on CPU. Returns True if your system supports flushing denormal numbers and it successfully configures flush denormal mode. set_flush_denormal() is only supported on x86 architectures supporting SSE3. Parameters
mode (bool) – Controls whether to enable flush denormal mode or not Ex... | |
doc_5816 |
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_5817 | A bool indicating whether the memory is contiguous. New in version 3.3. | |
doc_5818 |
Fills the input Tensor with values according to the method described in Understanding the difficulty of training deep feedforward neural networks - Glorot, X. & Bengio, Y. (2010), using a uniform distribution. The resulting tensor will have values sampled from U(−a,a)\mathcal{U}(-a, a) where a=gain×6fan_in+fan_outa... | |
doc_5819 | Set list_filter to activate filters in the right sidebar of the change list page of the admin, as illustrated in the following screenshot: list_filter should be a list or tuple of elements, where each element should be of one of the following types:
a field name, where the specified field should be either a BooleanF... | |
doc_5820 |
Iterate over (column name, Series) pairs. Iterates over the DataFrame columns, returning a tuple with the column name and the content as a Series. Yields
label:object
The column names for the DataFrame being iterated over.
content:Series
The column entries belonging to each label, as a Series. See also... | |
doc_5821 |
Return a short string version of the tick value. Defaults to the position-independent long value. | |
doc_5822 |
Return whether the artist is pickable. See also
set_picker, get_picker, pick | |
doc_5823 |
Transform X to a cluster-distance space. In the new space, each dimension is the distance to the cluster centers. Note that even if X is sparse, the array returned by transform will typically be dense. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
New data to transform. Returns
... | |
doc_5824 |
Plot coercing the axis to treat floats as dates. Discouraged This method exists for historic reasons and will be deprecated in the future.
datetime-like data should directly be plotted using plot. If you need to plot plain numeric data as Matplotlib date format or need to set a timezone, call ax.xaxis.axis_date / ... | |
doc_5825 | Identical to the pack_into() function, using the compiled format. | |
doc_5826 | CompilerFlag)
where, normally, OptionalRelease is less than MandatoryRelease, and both are 5-tuples of the same form as sys.version_info: (PY_MAJOR_VERSION, # the 2 in 2.1.0a3; an int
PY_MINOR_VERSION, # the 1; an int
PY_MICRO_VERSION, # the 0; an int
PY_RELEASE_LEVEL, # "alpha", "beta", "can... | |
doc_5827 |
Return a url if one is set, None otherwise. | |
doc_5828 | See Migration guide for more details. tf.compat.v1.linalg.set_diag, tf.compat.v1.matrix_set_diag
tf.linalg.set_diag(
input, diagonal, name='set_diag', k=0, align='RIGHT_LEFT'
)
Given input and diagonal, this operation returns a tensor with the same shape and values as input, except for the specified diagonals of... | |
doc_5829 |
Concatenate a sequence of arrays along the given axis. Parameters
arrayssequence of array_like
The arrays must have the same shape, except in the dimension corresponding to axis (the first, by default).
axisint, optional
The axis along which the arrays will be joined. Default is 0. Returns
resultMaske... | |
doc_5830 | returns True if the fastevent module is currently initialized get_init() -> bool Returns True if the pygame.fastevent module is currently initialized. | |
doc_5831 | Return the position of x in the deque (at or after index start and before index stop). Returns the first match or raises ValueError if not found. New in version 3.5. | |
doc_5832 | The Form geometry manager based on attachment rules for all Tk widgets. | |
doc_5833 | Packs a fixed length list (array) of homogeneous items. n is the length of the list; it is not packed into the buffer, but a ValueError exception is raised if len(array) is not equal to n. As above, pack_item is the function used to pack each element. | |
doc_5834 | HostAxes alias of mpl_toolkits.axes_grid1.parasite_axes.AxesHostAxes
HostAxesBase(*args, **kwargs)
ParasiteAxes alias of mpl_toolkits.axes_grid1.parasite_axes.AxesParasite
ParasiteAxesAuxTrans alias of mpl_toolkits.axes_grid1.parasite_axes.AxesParasiteParasiteAuxTrans
ParasiteAxesAuxTransBase(parent_axes, ...[... | |
doc_5835 | See Migration guide for more details. tf.compat.v1.raw_ops.Invert
tf.raw_ops.Invert(
x, name=None
)
Flip each bit of supported types. For example, type int8 (decimal 2) binary 00000010 becomes (decimal -3) binary 11111101. This operation is performed on each element of the tensor argument x. Example: import tens... | |
doc_5836 | What environment the app is running in. Flask and extensions may enable behaviors based on the environment, such as enabling debug mode. The env attribute maps to this config key. This is set by the FLASK_ENV environment variable and may not behave as expected if set in code. Do not enable development when deploying in... | |
doc_5837 | tf.compat.v1.nn.conv2d_backprop_input(
input_sizes, filter=None, out_backprop=None, strides=None, padding=None,
use_cudnn_on_gpu=True, data_format='NHWC', dilations=[1, 1, 1, 1],
name=None, filters=None
)
Args
input_sizes A Tensor of type int32. An integer vector representing the shape of input, w... | |
doc_5838 | In BytesIO, this is the same as read(). Changed in version 3.7: The size argument is now optional. | |
doc_5839 |
Return log-probability estimates for the test vector X. Parameters
Xarray-like of shape (n_samples, n_features)
Returns
Carray-like of shape (n_samples, n_classes)
Returns the log-probability of the samples for each class in the model. The columns correspond to the classes in sorted order, as they appear ... | |
doc_5840 |
Performs LpL_p normalization of inputs over specified dimension. For a tensor input of sizes (n0,...,ndim,...,nk)(n_0, ..., n_{dim}, ..., n_k) , each ndimn_{dim} -element vector vv along dimension dim is transformed as v=vmax(∥v∥p,ϵ).v = \frac{v}{\max(\lVert v \rVert_p, \epsilon)}.
With the default arguments i... | |
doc_5841 | Closes the socket. | |
doc_5842 |
The number of input dimensions of this transform. Must be overridden (with integers) in the subclass. | |
doc_5843 | Restores the pre-test environment. | |
doc_5844 | Send the contents of a file to the client. The first argument can be a file path or a file-like object. Paths are preferred in most cases because Werkzeug can manage the file and get extra information from the path. Passing a file-like object requires that the file is opened in binary mode, and is mostly useful when bu... | |
doc_5845 |
Compute open, high, low and close values of a group, excluding missing values. For multiple groupings, the result index will be a MultiIndex Returns
DataFrame
Open, high, low and close values within each group. See also Series.groupby
Apply a function groupby to a Series. DataFrame.groupby
Apply a functi... | |
doc_5846 |
Re-weight raw Minimum Covariance Determinant estimates. Re-weight observations using Rousseeuw’s method (equivalent to deleting outlying observations from the data set before computing location and covariance estimates) described in [RVDriessen]. Parameters
dataarray-like of shape (n_samples, n_features)
The da... | |
doc_5847 | tf.experimental.numpy.unicode_(
*args, **kwargs
)
str(bytes_or_buffer[, encoding[, errors]]) -> str Create a new string object from the given object. If encoding or errors is specified, then the object must expose a data buffer that will be decoded using the given encoding and error handler. Otherwise, returns the... | |
doc_5848 | Subclass of SubprocessError, raised when a process run by check_call() or check_output() returns a non-zero exit status.
returncode
Exit status of the child process. If the process exited due to a signal, this will be the negative signal number.
cmd
Command that was used to spawn the child process.
output... | |
doc_5849 |
Number of seconds (>= 0 and less than 1 day) for each element. | |
doc_5850 |
Set the norm limits for image scaling. Parameters
vmin, vmaxfloat
The limits. The limits may also be passed as a tuple (vmin, vmax) as a single positional argument. | |
doc_5851 | time_raised = models.DateTimeField(default=timezone.now, editable=False)
reference = models.CharField(unique=True, max_length=20)
description = models.TextField()
Here's a basic ModelSerializer that we can use for creating or updating instances of CustomerReportRecord: class CustomerReportSerializer(serial... | |
doc_5852 | A base class that provides common behavior for all date-based views. There won’t normally be a reason to instantiate BaseDateListView; instantiate one of the subclasses instead. While this view (and its subclasses) are executing, self.object_list will contain the list of objects that the view is operating upon, and sel... | |
doc_5853 |
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_5854 |
Returns either a new reference to self if dtype is not given or a new array of provided data type if dtype is different from the current dtype of the array. | |
doc_5855 |
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_5856 | See Migration guide for more details. tf.compat.v1.raw_ops.TensorScatterMin
tf.raw_ops.TensorScatterMin(
tensor, indices, updates, name=None
)
Args
tensor A Tensor. Tensor to update.
indices A Tensor. Must be one of the following types: int32, int64. Index tensor.
updates A Tensor. Must have... | |
doc_5857 | Represents a parsed URL in bytes. Create new instance of _URLTuple(scheme, netloc, path, query, fragment) Parameters
scheme (str) –
netloc (str) –
path (str) –
query (str) –
fragment (str) –
decode(charset='utf-8', errors='replace')
Decodes the URL to a tuple made out of strings. The charset is only... | |
doc_5858 |
Return a list of the child Artists of this Artist. | |
doc_5859 |
Roll provided date forward to next offset only if not on offset. Returns
TimeStamp
Rolled timestamp if not on offset, otherwise unchanged timestamp. | |
doc_5860 | An abstract method that is to return the value of __file__ for the specified module. If no path is available, ImportError is raised. If source code is available, then the method should return the path to the source file, regardless of whether a bytecode was used to load the module. Changed in version 3.4: Raises Impor... | |
doc_5861 |
Alias for set_linewidth. | |
doc_5862 |
Returns whether the kernel is stationary. | |
doc_5863 | The delete_queryset() method is given the HttpRequest and a QuerySet of objects to be deleted. Override this method to customize the deletion process for the “delete selected objects” action. | |
doc_5864 |
Return a new object with updated flags. Parameters
allows_duplicate_labels:bool, optional
Whether the returned object allows duplicate labels. Returns
Series or DataFrame
The same type as the caller. See also DataFrame.attrs
Global metadata applying to this dataset. DataFrame.flags
Global flags a... | |
doc_5865 |
Whether the artist is 'stale' and needs to be re-drawn for the output to match the internal state of the artist. | |
doc_5866 |
Bases: object Parameters
filewritable text file-like object
close(id)[source]
Close open elements, up to (and including) the element identified by the given identifier. Parameters
id
Element identifier, as returned by the start() method.
comment(comment)[source]
Add a comment to the output s... | |
doc_5867 | Expat was not able to allocate memory internally. | |
doc_5868 | The name of the uploaded file (e.g. my_file.txt). | |
doc_5869 |
Predict class log-probabilities of the input samples X. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
The input samples. Internally, it will be converted to dtype=np.float32 and if a sparse matrix is provided to a sparse csr_matrix. Returns
probandarray of shape (n_samples, n_cl... | |
doc_5870 | This class lives at django.template.Template. The constructor takes one argument — the raw template code: from django.template import Template
template = Template("My name is {{ my_name }}.") | |
doc_5871 |
Fit X into an embedded space. Parameters
Xndarray of shape (n_samples, n_features) or (n_samples, n_samples)
If the metric is ‘precomputed’ X must be a square distance matrix. Otherwise it contains a sample per row. If the method is ‘exact’, X may be a sparse matrix of type ‘csr’, ‘csc’ or ‘coo’. If the method ... | |
doc_5872 | See Migration guide for more details. tf.compat.v1.sparse.eye
tf.sparse.eye(
num_rows, num_columns=None, dtype=tf.dtypes.float32, name=None
)
Args
num_rows Non-negative integer or int32 scalar tensor giving the number of rows in the resulting matrix.
num_columns Optional non-negative integer or in... | |
doc_5873 | See Migration guide for more details. tf.compat.v1.estimator.export.ServingInputReceiver
tf.estimator.export.ServingInputReceiver(
features, receiver_tensors, receiver_tensors_alternatives=None
)
Attributes
features A Tensor, SparseTensor, or dict of string or int to Tensor or SparseTensor, specifying t... | |
doc_5874 | A condition variable: an alias for threading.Condition. If lock is specified then it should be a Lock or RLock object from multiprocessing. Changed in version 3.3: The wait_for() method was added. | |
doc_5875 |
Return whether the artist is pickable. See also
set_picker, get_picker, pick | |
doc_5876 |
Bases: torch.distributions.distribution.Distribution Creates a Negative Binomial distribution, i.e. distribution of the number of successful independent and identical Bernoulli trials before total_count failures are achieved. The probability of failure of each Bernoulli trial is probs. Parameters
total_count (flo... | |
doc_5877 | Buffer the bytes data for transmission to the client. It’s okay if this method actually transmits the data; BaseHandler just separates write and flush operations for greater efficiency when the underlying system actually has such a distinction. | |
doc_5878 | Interface representing a bidirectional transport, such as a TCP connection. The user does not instantiate a transport directly; they call a utility function, passing it a protocol factory and other information necessary to create the transport and protocol. Instances of the Transport class are returned from or used by ... | |
doc_5879 | Return a tuple containing names of globals in this function. | |
doc_5880 | See Migration guide for more details. tf.compat.v1.io.gfile.makedirs
tf.io.gfile.makedirs(
path
)
It succeeds if path already exists and is writable.
Args
path string, name of the directory to be created
Raises
errors.OpError If the operation fails. | |
doc_5881 |
Combine colormapped data values with an illumination intensity map (a.k.a. "hillshade") of the values. Parameters
data2D array-like
The height values used to generate a shaded map.
cmapColormap
The colormap used to color the data array. Note that this must be a Colormap instance. For example, rather than pa... | |
doc_5882 |
Computes the log-likelihood of a Gaussian data set with self.covariance_ as an estimator of its covariance matrix. Parameters
X_testarray-like of shape (n_samples, n_features)
Test data of which we compute the likelihood, where n_samples is the number of samples and n_features is the number of features. X_test ... | |
doc_5883 |
Alias for set_linestyle. | |
doc_5884 | Return a file-like object, open to file, but read from or written to by the pipeline. Note that only one of 'r', 'w' may be given. | |
doc_5885 |
Get Not equal to of dataframe and other, element-wise (binary operator ne). Among flexible wrappers (eq, ne, le, lt, ge, gt) to comparison operators. Equivalent to ==, !=, <=, <, >=, > with support to choose axis (rows or columns) and level for comparison. Parameters
other:scalar, sequence, Series, or DataFrame
... | |
doc_5886 | With no arguments, run a full collection. The optional argument generation may be an integer specifying which generation to collect (from 0 to 2). A ValueError is raised if the generation number is invalid. The number of unreachable objects found is returned. The free lists maintained for a number of built-in types are... | |
doc_5887 |
Check if the Index only consists of numeric data. Returns
bool
Whether or not the Index only consists of numeric data. See also is_boolean
Check if the Index only consists of booleans. is_integer
Check if the Index only consists of integers. is_floating
Check if the Index is a floating type. is_object... | |
doc_5888 |
Fit the model with X. 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
Returns
selfobject
Returns the instance itself. | |
doc_5889 |
Poisson negative log likelihood loss. See PoissonNLLLoss for details. Parameters
input – expectation of underlying Poisson distribution.
target – random sample target∼Poisson(input)target \sim \text{Poisson}(input) .
log_input – if True the loss is computed as exp(input)−target∗input\exp(\text{input}) - \text{... | |
doc_5890 | See Migration guide for more details. tf.compat.v1.test.Benchmark
tf.test.Benchmark()
Methods evaluate View source
evaluate(
tensors
)
Evaluates tensors and returns numpy values.
Args
tensors A Tensor or a nested list/tuple of Tensors.
Returns tensors numpy values.
is_abstract View source... | |
doc_5891 | Called when the child process has exited. | |
doc_5892 | class Manager
A Manager is the interface through which database query operations are provided to Django models. At least one Manager exists for every model in a Django application. The way Manager classes work is documented in Making queries; this document specifically touches on model options that customize Manager ... | |
doc_5893 |
Get the matrix for the affine part of this transform. | |
doc_5894 |
Return the depth of the decision tree. The depth of a tree is the maximum distance between the root and any leaf. Returns
self.tree_.max_depthint
The maximum depth of the tree. | |
doc_5895 |
Combine two masks with the logical_or operator. The result may be a view on m1 or m2 if the other is nomask (i.e. False). Parameters
m1, m2array_like
Input masks.
copybool, optional
If copy is False and one of the inputs is nomask, return a view of the other input mask. Defaults to False.
shrinkbool, opti... | |
doc_5896 |
Mixin class for all transformers in scikit-learn. Methods
fit_transform(X[, y]) Fit to data, then transform it.
fit_transform(X, y=None, **fit_params) [source]
Fit to data, then transform it. Fits transformer to X and y with optional parameters fit_params and returns a transformed version of X. Parameters
... | |
doc_5897 |
Check whether other equals self elementwise. When either of the elements is masked, the result is masked as well, but the underlying boolean data are still set, with self and other considered equal if both are masked, and unequal otherwise. For structured arrays, all fields are combined, with masked values ignored. T... | |
doc_5898 |
Applies a 1D power-average pooling over an input signal composed of several input planes. On each window, the function computed is: f(X)=∑x∈Xxppf(X) = \sqrt[p]{\sum_{x \in X} x^{p}}
At p = ∞\infty , one gets Max Pooling At p = 1, one gets Sum Pooling (which is proportional to Average Pooling) Note If the sum to... | |
doc_5899 |
Returns a clone of self with given hyperparameters theta. Parameters
thetandarray of shape (n_dims,)
The hyperparameters |
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