_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_20900 | Feed the given bytes data to the parser. | |
doc_20901 |
Returns the pickle of the array as a string. pickle.loads will convert the string back to an array. Parameters
None | |
doc_20902 |
Stores both the algorithm’s hyperparameters and the internal state for all the gradients during the training. Particularly, matrix_approximation_rank and start_powerSGD_iter are the main hyperparameters that should be tuned by the user. For performance, we suggest to keep binary hyperparameters use_error_feedback and... | |
doc_20903 |
Base class for all kernels. New in version 0.18. Attributes
bounds
Returns the log-transformed bounds on the theta.
hyperparameters
Returns a list of all hyperparameter specifications.
n_dims
Returns the number of non-fixed hyperparameters of the kernel.
requires_vector_input
Returns whether the k... | |
doc_20904 | Removes and returns the next segment of PATH_INFO, pushing it onto SCRIPT_NAME. Returns None if there is nothing left on PATH_INFO. If the charset is set to None bytes are returned. If there are empty segments ('/foo//bar) these are ignored but properly pushed to the SCRIPT_NAME: >>> env = {'SCRIPT_NAME': '/foo', 'PATH... | |
doc_20905 |
Returns True if any of the elements of a evaluate to True. Masked values are considered as False during computation. Refer to numpy.any for full documentation. See also numpy.ndarray.any
corresponding function for ndarrays numpy.any
equivalent function | |
doc_20906 | Required to request change notifications for a registry key or for subkeys of a registry key. | |
doc_20907 |
Alias for set_antialiased. | |
doc_20908 | Returns a string representation of the IP address, controlled by an explicit format string. fmt can be one of the following: 's', the default option, equivalent to str(), 'b' for a zero-padded binary string, 'X' or 'x' for an uppercase or lowercase hexadecimal representation, or 'n', which is equivalent to 'b' for IPv4... | |
doc_20909 |
Return a list of the child Artists of this Artist. | |
doc_20910 | Decorator for invoking check_impl_detail() on guards. If that returns False, then uses msg as the reason for skipping the test. | |
doc_20911 | Change the mode of the file given by fd to the numeric mode. See the docs for chmod() for possible values of mode. As of Python 3.3, this is equivalent to os.chmod(fd, mode). Raises an auditing event os.chmod with arguments path, mode, dir_fd. Availability: Unix. | |
doc_20912 | See Migration guide for more details. tf.compat.v1.raw_ops.ReadFile
tf.raw_ops.ReadFile(
filename, name=None
)
Args
filename A Tensor of type string.
name A name for the operation (optional).
Returns A Tensor of type string. | |
doc_20913 | sklearn.metrics.pairwise.paired_euclidean_distances(X, Y) [source]
Computes the paired euclidean distances between X and Y. Read more in the User Guide. Parameters
Xarray-like of shape (n_samples, n_features)
Yarray-like of shape (n_samples, n_features)
Returns
distancesndarray of shape (n_samples,) | |
doc_20914 |
Normalize samples individually to unit norm. Each sample (i.e. each row of the data matrix) with at least one non zero component is rescaled independently of other samples so that its norm (l1, l2 or inf) equals one. This transformer is able to work both with dense numpy arrays and scipy.sparse matrix (use CSR format... | |
doc_20915 |
Segment new image using trained internal classifier. Parameters
imagendarray
Input image, which can be grayscale or multichannel, and must have a number of dimensions compatible with self.features_func. Raises
NotFittedError if self.clf has not been fitted yet (use self.fit). | |
doc_20916 | Registers a shell context processor function. Changelog New in version 0.11. Parameters
f (Callable) – Return type
Callable | |
doc_20917 |
Return the day name of the Timestamp with specified locale. Parameters
locale:str, default None (English locale)
Locale determining the language in which to return the day name. Returns
str
Examples
>>> ts = pd.Timestamp('2020-03-14T15:32:52.192548651')
>>> ts.day_name()
'Saturday'
Analogous for pd.N... | |
doc_20918 | An entity reference in an attribute value referred to an external entity instead of an internal entity. | |
doc_20919 | Set timeout of connections to t seconds. | |
doc_20920 |
Estimate mutual information for a continuous target variable. Mutual information (MI) [1] between two random variables is a non-negative value, which measures the dependency between the variables. It is equal to zero if and only if two random variables are independent, and higher values mean higher dependency. The fu... | |
doc_20921 |
Extension Arrays are only allowed to be 1-dimensional. | |
doc_20922 | The string representation in dotted decimal notation. Leading zeroes are never included in the representation. As IPv4 does not define a shorthand notation for addresses with octets set to zero, these two attributes are always the same as str(addr) for IPv4 addresses. Exposing these attributes makes it easier to write ... | |
doc_20923 |
Set the artist's clip path. Parameters
pathPatch or Path or TransformedPath or None
The clip path. If given a Path, transform must be provided as well. If None, a previously set clip path is removed.
transformTransform, optional
Only used if path is a Path, in which case the given Path is converted to a Tra... | |
doc_20924 |
Convert coefficient matrix to sparse format. Converts the coef_ member to a scipy.sparse matrix, which for L1-regularized models can be much more memory- and storage-efficient than the usual numpy.ndarray representation. The intercept_ member is not converted. Returns
self
Fitted estimator. Notes For non-spar... | |
doc_20925 |
Repeat a 0-D to 2-D array or matrix MxN times. Parameters
aarray_like
The array or matrix to be repeated.
m, nint
The number of times a is repeated along the first and second axes. Returns
outndarray
The result of repeating a. Examples >>> import numpy.matlib
>>> a0 = np.array(1)
>>> np.matlib.r... | |
doc_20926 |
Maps short codes for line style to their full name used by backends. | |
doc_20927 | Implements database-backed session store.
classmethod get_model_class()
Override this method to return a custom session model if you need one.
create_model_instance(data)
Returns a new instance of the session model object, which represents the current session state. Overriding this method provides the ability... | |
doc_20928 | Traceback where the memory block was allocated, Traceback instance. | |
doc_20929 |
Set the artist's clip path. Parameters
pathPatch or Path or TransformedPath or None
The clip path. If given a Path, transform must be provided as well. If None, a previously set clip path is removed.
transformTransform, optional
Only used if path is a Path, in which case the given Path is converted to a Tra... | |
doc_20930 | A dictionary mapping names in common_dirs to dircmp objects. | |
doc_20931 | See Migration guide for more details. tf.compat.v1.raw_ops.FakeQuantWithMinMaxVarsPerChannelGradient
tf.raw_ops.FakeQuantWithMinMaxVarsPerChannelGradient(
gradients, inputs, min, max, num_bits=8, narrow_range=False, name=None
)
Args
gradients A Tensor of type float32. Backpropagated gradients above the ... | |
doc_20932 |
A custom data type, to be paired with an ExtensionArray. See also extensions.register_extension_dtype
Register an ExtensionType with pandas as class decorator. extensions.ExtensionArray
Abstract base class for custom 1-D array types. Notes The interface includes the following abstract methods that must be imp... | |
doc_20933 | See Migration guide for more details. tf.compat.v1.sparse.split
tf.compat.v1.sparse_split(
keyword_required=KeywordRequired(), sp_input=None, num_split=None, axis=None,
name=None, split_dim=None
)
Warning: SOME ARGUMENTS ARE DEPRECATED: (split_dim). They will be removed in a future version. Instructions for ... | |
doc_20934 |
Reverse the transformation operation Parameters
Xarray of shape [n_samples, n_selected_features]
The input samples. Returns
X_rarray of shape [n_samples, n_original_features]
X with columns of zeros inserted where features would have been removed by transform. | |
doc_20935 | If the header value can be recognized as a valid date of one form or another, this attribute will contain a datetime instance representing that date. If the timezone of the input date is specified as -0000 (indicating it is in UTC but contains no information about the source timezone), then datetime will be a naive dat... | |
doc_20936 | sklearn.utils.estimator_checks.parametrize_with_checks(estimators) [source]
Pytest specific decorator for parametrizing estimator checks. The id of each check is set to be a pprint version of the estimator and the name of the check with its keyword arguments. This allows to use pytest -k to specify which tests to run... | |
doc_20937 | self.long() is equivalent to self.to(torch.int64). See to(). Parameters
memory_format (torch.memory_format, optional) – the desired memory format of returned Tensor. Default: torch.preserve_format. | |
doc_20938 |
Cumulative sum for each group. Returns
Series or DataFrame
See also Series.groupby
Apply a function groupby to a Series. DataFrame.groupby
Apply a function groupby to each row or column of a DataFrame. | |
doc_20939 | See Migration guide for more details. tf.compat.v1.raw_ops.QueueEnqueueV2
tf.raw_ops.QueueEnqueueV2(
handle, components, timeout_ms=-1, name=None
)
The components input has k elements, which correspond to the components of tuples stored in the given queue. N.B. If the queue is full, this operation will block unt... | |
doc_20940 |
Return a scale class by name. Parameters
scale{'function', 'functionlog', 'linear', 'log', 'logit', 'symlog'}
axismatplotlib.axis.Axis | |
doc_20941 | See Migration guide for more details. tf.compat.v1.raw_ops.Pow
tf.raw_ops.Pow(
x, y, name=None
)
Given a tensor x and a tensor y, this operation computes \(x^y\) for corresponding elements in x and y. For example: # tensor 'x' is [[2, 2]], [3, 3]]
# tensor 'y' is [[8, 16], [2, 3]]
tf.pow(x, y) ==> [[256, 65536],... | |
doc_20942 | tf.experimental.numpy.object_(
*args, **kwargs
)
Character code: 'O'. Methods all
all()
Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API. See also the correspon... | |
doc_20943 | Join a thread within timeout. Raise an AssertionError if thread is still alive after timeout seconds. | |
doc_20944 |
Remove a callback based on its observer id. See also add_callback | |
doc_20945 | The LMTP protocol, which is very similar to ESMTP, is heavily based on the standard SMTP client. It’s common to use Unix sockets for LMTP, so our connect() method must support that as well as a regular host:port server. The optional arguments local_hostname and source_address have the same meaning as they do in the SMT... | |
doc_20946 |
For each key, value pair in kwargs, check that value has the shape _shape, if not, raise an appropriate ValueError. None in the shape is treated as a "free" size that can have any length. e.g. (None, 2) -> (N, 2) The values checked must be numpy arrays. Examples To check for (N, 2) shaped arrays >>> _api.check_shape(... | |
doc_20947 | the salt that should be applied on top of the secret key for the signing of cookie based sessions. | |
doc_20948 |
Return whether a contour is long enough to hold a label. | |
doc_20949 | A dictionary mapping method names to line numbers. This can be derived from the newer children dictionary, but remains for back-compatibility. | |
doc_20950 |
A unique number for each of the 21 different built-in types. These are roughly ordered from least-to-most precision. Examples >>> dt = np.dtype(str)
>>> dt.num
19
>>> dt = np.dtype(float)
>>> dt.num
12 | |
doc_20951 |
Bases: object The minimal interface for a converter to take custom data types (or sequences) and convert them to values Matplotlib can use. staticaxisinfo(unit, axis)[source]
Return an AxisInfo for the axis with the specified units.
staticconvert(obj, unit, axis)[source]
Convert obj using unit for the speci... | |
doc_20952 | tf.experimental.numpy.cross(
a, b, axisa=-1, axisb=-1, axisc=-1, axis=None
)
See the NumPy documentation for numpy.cross. | |
doc_20953 |
Save a Figure to this file as a new page. Any other keyword arguments are passed to savefig. Parameters
figureFigure or int, default: the active figure
The figure, or index of the figure, that is saved to the file. | |
doc_20954 | The ModelAdmin class is the representation of a model in the admin interface. Usually, these are stored in a file named admin.py in your application. Let’s take a look at an example of the ModelAdmin: from django.contrib import admin
from myapp.models import Author
class AuthorAdmin(admin.ModelAdmin):
pass
admin.s... | |
doc_20955 | Send a LAST command. Return as for stat(). | |
doc_20956 | Floating-point exception. For example, division by zero. See also ZeroDivisionError is raised when the second argument of a division or modulo operation is zero. | |
doc_20957 | tf.experimental.numpy.hstack(
tup
)
See the NumPy documentation for numpy.hstack. | |
doc_20958 |
Set the edgecolor(s) of the collection. Parameters
ccolor or list of colors or 'face'
The collection edgecolor(s). If a sequence, the patches cycle through it. If 'face', match the facecolor. | |
doc_20959 |
Plot visualization. Parameters
include_valuesbool, default=True
Includes values in confusion matrix.
cmapstr or matplotlib Colormap, default=’viridis’
Colormap recognized by matplotlib.
xticks_rotation{‘vertical’, ‘horizontal’} or float, default=’horizontal’
Rotation of xtick labels.
values_formatstr,... | |
doc_20960 | Holds a string containing all of the data sent by the client during the DATA state, up to but not including the terminating "\r\n.\r\n". | |
doc_20961 | In-place version of logit() | |
doc_20962 |
Checks if all the work submitted has been completed. Returns
A boolean indicating if all kernels in this stream are completed. | |
doc_20963 | See Migration guide for more details. tf.compat.v1.initializers.variance_scaling, tf.compat.v1.variance_scaling_initializer
tf.compat.v1.keras.initializers.VarianceScaling(
scale=1.0, mode='fan_in', distribution='truncated_normal',
seed=None, dtype=tf.dtypes.float32
)
With distribution="truncated_normal" or ... | |
doc_20964 | Reload a previously imported module. The argument must be a module object, so it must have been successfully imported before. This is useful if you have edited the module source file using an external editor and want to try out the new version without leaving the Python interpreter. The return value is the module objec... | |
doc_20965 | Exit the process with status n, without calling cleanup handlers, flushing stdio buffers, etc. Note The standard way to exit is sys.exit(n). _exit() should normally only be used in the child process after a fork(). | |
doc_20966 | Return the entire message flattened as a bytes object. When optional unixfrom is true, the envelope header is included in the returned string. unixfrom defaults to False. The policy argument may be used to override the default policy obtained from the message instance. This can be used to control some of the formatting... | |
doc_20967 |
First discrete difference of element. Calculates the difference of a Dataframe element compared with another element in the Dataframe (default is element in previous row). Parameters
periods:int, default 1
Periods to shift for calculating difference, accepts negative values.
axis:{0 or ‘index’, 1 or ‘columns’... | |
doc_20968 | GeometryCollection objects may be instantiated by passing in other GEOSGeometry as arguments, or a single sequence of GEOSGeometry objects: >>> poly = Polygon( ((0, 0), (0, 1), (1, 1), (0, 0)) )
>>> gc = GeometryCollection(Point(0, 0), MultiPoint(Point(0, 0), Point(1, 1)), poly)
>>> gc = GeometryCollection((Point(0, 0)... | |
doc_20969 |
Return the pick radius used for containment tests. See contains for more details. | |
doc_20970 | See Migration guide for more details. tf.compat.v1.math.xlog1py
tf.math.xlog1py(
x, y, name=None
)
Given x and y, compute x * log1p(y). This function safely returns zero when x = 0, no matter what the value of y is. Example:
tf.math.xlog1py(0., 1.)
<tf.Tensor: shape=(), dtype=float32, numpy=0.>
tf.math.xlog1py(... | |
doc_20971 | See Migration guide for more details. tf.compat.v1.raw_ops.MatrixDeterminant
tf.raw_ops.MatrixDeterminant(
input, name=None
)
The input is a tensor of shape [..., M, M] whose inner-most 2 dimensions form square matrices. The output is a tensor containing the determinants for all input submatrices [..., :, :].
... | |
doc_20972 | binhex.binhex(input, output)
Convert a binary file with filename input to binhex file output. The output parameter can either be a filename or a file-like object (any object supporting a write() and close() method).
binhex.hexbin(input, output)
Decode a binhex file input. input may be a filename or a file-like ... | |
doc_20973 | In-place version of squeeze() | |
doc_20974 | Creates or opens the specified key, returning a handle object. key is an already open key, or one of the predefined HKEY_* constants. sub_key is a string that names the key this method opens or creates. If key is one of the predefined keys, sub_key may be None. In that case, the handle returned is the same key handle p... | |
doc_20975 | In-place version of pow() | |
doc_20976 |
Bayesian ridge regression. Fit a Bayesian ridge model. See the Notes section for details on this implementation and the optimization of the regularization parameters lambda (precision of the weights) and alpha (precision of the noise). Read more in the User Guide. Parameters
n_iterint, default=300
Maximum numbe... | |
doc_20977 | Return True if path refers to an existing path or an open file descriptor. Returns False for broken symbolic links. On some platforms, this function may return False if permission is not granted to execute os.stat() on the requested file, even if the path physically exists. Changed in version 3.3: path can now be an i... | |
doc_20978 |
Compute the Sampson distance. The Sampson distance is the first approximation to the geometric error. Parameters
src(N, 2) array
Source coordinates.
dst(N, 2) array
Destination coordinates. Returns
residuals(N, ) array
Sampson distance. | |
doc_20979 | This method is called when a node is updated, right after new_index is pushed onto the heap and the traceback map is updated. This method can be overloaded to keep track of other arrays that are used by a specific implementation of the algorithm. For instance the MCP_Connect class uses it to update an id map. | |
doc_20980 | Returns an iterator over the Future instances (possibly created by different Executor instances) given by fs that yields futures as they complete (finished or cancelled futures). Any futures given by fs that are duplicated will be returned once. Any futures that completed before as_completed() is called will be yielded... | |
doc_20981 |
Print the NumPy arrays in the given dictionary. If there is no dictionary passed in or vardict is None then returns NumPy arrays in the globals() dictionary (all NumPy arrays in the namespace). Parameters
vardictdict, optional
A dictionary possibly containing ndarrays. Default is globals(). Returns
outNon... | |
doc_20982 | See Migration guide for more details. tf.compat.v1.keras.layers.Flatten
tf.keras.layers.Flatten(
data_format=None, **kwargs
)
Note: If inputs are shaped (batch,) without a feature axis, then flattening adds an extra channel dimension and output shape is (batch, 1).
Arguments
data_format A string, one ... | |
doc_20983 | The constant string used by the operating system to refer to the current directory. This is '.' for Windows and POSIX. Also available via os.path. | |
doc_20984 |
Set the lower and upper numerical bounds of the z-axis. This method will honor axes inversion regardless of parameter order. It will not change the autoscaling setting (get_autoscalez_on()). | |
doc_20985 | See Migration guide for more details. tf.compat.v1.keras.layers.Embedding
tf.keras.layers.Embedding(
input_dim, output_dim, embeddings_initializer='uniform',
embeddings_regularizer=None, activity_regularizer=None,
embeddings_constraint=None, mask_zero=False, input_length=None, **kwargs
)
e.g. [[4], [20]]... | |
doc_20986 | Identical to the iter_unpack() function, using the compiled format. The buffer’s size in bytes must be a multiple of size. New in version 3.4. | |
doc_20987 |
The similarity of two sets of biclusters. Similarity between individual biclusters is computed. Then the best matching between sets is found using the Hungarian algorithm. The final score is the sum of similarities divided by the size of the larger set. Read more in the User Guide. Parameters
a(rows, columns)
T... | |
doc_20988 | Returns the headers of the response in the form of an EmailMessage instance. | |
doc_20989 | See Migration guide for more details. tf.compat.v1.nn.depth_to_space
tf.compat.v1.depth_to_space(
input, block_size, name=None, data_format='NHWC'
)
Rearranges data from depth into blocks of spatial data. This is the reverse transformation of SpaceToDepth. More specifically, this op outputs a copy of the input t... | |
doc_20990 | Register a function to be run at the end of each request, regardless of whether there was an exception or not. These functions are executed when the request context is popped, even if not an actual request was performed. Example: ctx = app.test_request_context()
ctx.push()
...
ctx.pop()
When ctx.pop() is executed in t... | |
doc_20991 |
Transform from unconstrained space to the simplex of one additional dimension via a stick-breaking process. This transform arises as an iterated sigmoid transform in a stick-breaking construction of the Dirichlet distribution: the first logit is transformed via sigmoid to the first probability and the probability of ... | |
doc_20992 |
Initialize self. See help(type(self)) for accurate signature. | |
doc_20993 |
warnings.warn wrapper that sets stacklevel to "outside Matplotlib". The original emitter of the warning can be obtained by patching this function back to warnings.warn, i.e. _api.warn_external =
warnings.warn (or functools.partial(warnings.warn, stacklevel=2), etc.). | |
doc_20994 |
Return the group id. | |
doc_20995 |
[Deprecated] Notes Deprecated since version 3.5: | |
doc_20996 | Wait until it is appropriate to resume writing to the stream. Example: writer.write(data)
await writer.drain()
This is a flow control method that interacts with the underlying IO write buffer. When the size of the buffer reaches the high watermark, drain() blocks until the size of the buffer is drained down to the low... | |
doc_20997 | Same as datetime.strftime(). This makes it possible to specify a format string for a datetime object in formatted string literals and when using str.format(). For a complete list of formatting directives, see strftime() and strptime() Behavior. | |
doc_20998 | Create a folder whose name is folder and return a Maildir instance representing it. | |
doc_20999 | The name of the class, function, method, descriptor, or generator instance. |
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