_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_5400 | Stop all active patches. Only stops patches started with start. | |
doc_5401 | See torch.remainder() | |
doc_5402 |
Process a pick event. Each child artist will fire a pick event if mouseevent is over the artist and the artist has picker set. See also
set_picker, get_picker, pickable | |
doc_5403 |
Return unique values of Series object. Uniques are returned in order of appearance. Hash table-based unique, therefore does NOT sort. Returns
ndarray or ExtensionArray
The unique values returned as a NumPy array. See Notes. See also unique
Top-level unique method for any 1-d array-like object. Index.uniqu... | |
doc_5404 |
Get parameters for this estimator. Parameters
deepbool, default=True
If True, will return the parameters for this estimator and contained subobjects that are estimators. Returns
paramsdict
Parameter names mapped to their values. | |
doc_5405 | An integer containing the number of characters written to the stream before it blocked. This attribute is available when using the buffered I/O classes from the io module. | |
doc_5406 |
IEEE 754 floating point representation of Not a Number (NaN). NaN and NAN are equivalent definitions of nan. Please use nan instead of NAN. See Also nan | |
doc_5407 |
Length of one array element in bytes. Examples >>> x = np.array([1,2,3], dtype=np.float64)
>>> x.itemsize
8
>>> x = np.array([1,2,3], dtype=np.complex128)
>>> x.itemsize
16 | |
doc_5408 | Adds the scalar other to each element of the input input and returns a new resulting tensor. out=input+other\text{out} = \text{input} + \text{other}
If input is of type FloatTensor or DoubleTensor, other must be a real number, otherwise it should be an integer. Parameters
input (Tensor) – the input tensor.
valu... | |
doc_5409 |
Bases: object Information to support default axis labeling, tick labeling, and limits. An instance of this class must be returned by ConversionInterface.axisinfo. Parameters
majloc, minlocLocator, optional
Tick locators for the major and minor ticks.
majfmt, minfmtFormatter, optional
Tick formatters for the... | |
doc_5410 | Equivalent to as_bytes(). Allows bytes(msg) to produce a bytes object containing the serialized message. | |
doc_5411 | Decode the Base64 encoded bytes-like object or ASCII string s and return the decoded bytes. Optional altchars must be a bytes-like object or ASCII string of at least length 2 (additional characters are ignored) which specifies the alternative alphabet used instead of the + and / characters. A binascii.Error exception i... | |
doc_5412 |
Set the current rcParams. group is the grouping for the rc, e.g., for lines.linewidth the group is lines, for axes.facecolor, the group is axes, and so on. Group may also be a list or tuple of group names, e.g., (xtick, ytick). kwargs is a dictionary attribute name/value pairs, e.g.,: rc('lines', linewidth=2, color='... | |
doc_5413 | Decode the given bytes representing source code and return it as a string with universal newlines (as required by importlib.abc.InspectLoader.get_source()). New in version 3.4. | |
doc_5414 |
Fit the FactorAnalysis model to X using SVD based approach Parameters
Xarray-like of shape (n_samples, n_features)
Training data.
yIgnored
Returns
self | |
doc_5415 | See Migration guide for more details. tf.compat.v1.print
tf.print(
*inputs, **kwargs
)
A TensorFlow operator that prints the specified inputs to a desired output stream or logging level. The inputs may be dense or sparse Tensors, primitive python objects, data structures that contain tensors, and printable Pytho... | |
doc_5416 | See Migration guide for more details. tf.compat.v1.raw_ops.CollectiveGather
tf.raw_ops.CollectiveGather(
input, group_size, group_key, instance_key, shape,
communication_hint='auto', timeout_seconds=0, name=None
)
Args
input A Tensor. Must be one of the following types: float32, half, float64, int32... | |
doc_5417 |
Set the font variant. Parameters
variant{'normal', 'small-caps'}
See also font_manager.FontProperties.set_variant | |
doc_5418 | Marks a set of nodes returned by TopologicalSorter.get_ready() as processed, unblocking any successor of each node in nodes for being returned in the future by a call to TopologicalSorter.get_ready(). Raises ValueError if any node in nodes has already been marked as processed by a previous call to this method or if a n... | |
doc_5419 |
A 1-D iterator over the array. This is a numpy.flatiter instance, which acts similarly to, but is not a subclass of, Python’s built-in iterator object. See also flatten
Return a copy of the array collapsed into one dimension. flatiter
Examples >>> x = np.arange(1, 7).reshape(2, 3)
>>> x
array([[1, 2, 3],
... | |
doc_5420 |
Run module via interpretation and return the result. Parameters
*args – The arguments to the Module to run, in positional order
initial_env (Optional[Dict[Node, Any]]) – An optional starting environment for execution. This is a dict mapping Node to any value. This can be used, for example, to pre-populate result... | |
doc_5421 | Represents a parsed user agent header value. The default implementation does no parsing, only the string attribute is set. A subclass may parse the string to set the common attributes or expose other information. Set werkzeug.wrappers.Request.user_agent_class to use a subclass. Parameters
string (str) – The header va... | |
doc_5422 | A generic class that represents the system’s path flavour (instantiating it creates either a PurePosixPath or a PureWindowsPath): >>> PurePath('setup.py') # Running on a Unix machine
PurePosixPath('setup.py')
Each element of pathsegments can be either a string representing a path segment, an object implementing t... | |
doc_5423 |
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_5424 |
Rolling window view of the input n-dimensional array. Windows are overlapping views of the input array, with adjacent windows shifted by a single row or column (or an index of a higher dimension). Parameters
arr_inndarray
N-d input array.
window_shapeinteger or tuple of length arr_in.ndim
Defines the shape ... | |
doc_5425 |
Return a new sequence of saved/cached frame information. | |
doc_5426 | Convert an IP address from its family-specific string format to a packed, binary format. inet_pton() is useful when a library or network protocol calls for an object of type struct in_addr (similar to inet_aton()) or struct in6_addr. Supported values for address_family are currently AF_INET and AF_INET6. If the IP addr... | |
doc_5427 |
Return an ndarray of indices that sort the array along the specified axis. Masked values are filled beforehand to fill_value. Parameters
axisint, optional
Axis along which to sort. If None, the default, the flattened array is used. Changed in version 1.13.0: Previously, the default was documented to be -1, but... | |
doc_5428 | In-place version of arcsinh() | |
doc_5429 |
Shift the time index, using the index’s frequency if available. Deprecated since version 1.1.0: Use shift instead. Parameters
periods:int
Number of periods to move, can be positive or negative.
freq:DateOffset, timedelta, or str, default None
Increment to use from the tseries module or time rule expressed... | |
doc_5430 |
Set the default plugin for a specified operation. The plugin will be loaded if it hasn’t been already. Parameters
namestr
Name of plugin.
kind{‘imsave’, ‘imread’, ‘imshow’, ‘imread_collection’, ‘imshow_collection’}, optional
Set the plugin for this function. By default, the plugin is set for all functions. ... | |
doc_5431 |
Perform Normalized Graph cut on the Region Adjacency Graph. Given an image’s labels and its similarity RAG, recursively perform a 2-way normalized cut on it. All nodes belonging to a subgraph that cannot be cut further are assigned a unique label in the output. Parameters
labelsndarray
The array of labels.
ra... | |
doc_5432 |
Broadcast the input shapes into a single shape. Learn more about broadcasting here. New in version 1.20.0. Parameters
`*args`tuples of ints, or ints
The shapes to be broadcast against each other. Returns
tuple
Broadcasted shape. Raises
ValueError
If the shapes are not compatible and cannot be broa... | |
doc_5433 | See Migration guide for more details. tf.compat.v1.raw_ops.RemoteCall
tf.raw_ops.RemoteCall(
target, args, Tout, f, name=None
)
Args
target A Tensor of type string. A fully specified device name where we want to run the function.
args A list of Tensor objects. A list of arguments for the function.... | |
doc_5434 | Sequence of bytecodes that access a free variable (note that ‘free’ in this context refers to names in the current scope that are referenced by inner scopes or names in outer scopes that are referenced from this scope. It does not include references to global or builtin scopes). | |
doc_5435 |
Fits the GraphicalLasso model to X. Parameters
Xarray-like of shape (n_samples, n_features)
Data from which to compute the covariance estimate
yIgnored
Not used, present for API consistency by convention. Returns
selfobject | |
doc_5436 | 'blogs.blog': lambda o: "/blogs/%s/" % o.slug,
'news.story': lambda o: "/stories/%s/%s/" % (o.pub_year, o.slug),
}
The model name used in this setting should be all lowercase, regardless of the case of the actual model class name. ADMINS Default: [] (Empty list) A list of all the people who get code error noti... | |
doc_5437 |
Padding between text and rectangle. | |
doc_5438 | tf.reduce_min
tf.math.reduce_min(
input_tensor, axis=None, keepdims=False, name=None
)
Reduces input_tensor along the dimensions given in axis. Unless keepdims is true, the rank of the tensor is reduced by 1 for each of the entries in axis, which must be unique. If keepdims is true, the reduced dimensions are re... | |
doc_5439 | Read until one from a list of a regular expressions matches. The first argument is a list of regular expressions, either compiled (regex objects) or uncompiled (byte strings). The optional second argument is a timeout, in seconds; the default is to block indefinitely. Return a tuple of three items: the index in the lis... | |
doc_5440 | Called when the asynchronous loop detects that a writable socket can be written. Often this method will implement the necessary buffering for performance. For example: def handle_write(self):
sent = self.send(self.buffer)
self.buffer = self.buffer[sent:] | |
doc_5441 | Default widget: DateInput
Empty value: None
Normalizes to: A Python datetime.date object. Validates that the given value is either a datetime.date, datetime.datetime or string formatted in a particular date format. Error message keys: required, invalid
Takes one optional argument:
input_formats
A list of forma... | |
doc_5442 | The standard input device. Initially, this is the console input buffer, CONIN$. | |
doc_5443 | Return True if path appears to be for a package. | |
doc_5444 | Gets or sets the alpha value of the Color. a -> int The alpha value of the Color. | |
doc_5445 |
Return an array of ones with the same shape and type as a given array. Parameters
aarray_like
The shape and data-type of a define these same attributes of the returned array.
dtypedata-type, optional
Overrides the data type of the result. New in version 1.6.0.
order{‘C’, ‘F’, ‘A’, or ‘K’}, optional
Ov... | |
doc_5446 |
Predict class labels for samples in X. Parameters
Xarray-like or sparse matrix, shape (n_samples, n_features)
Samples. Returns
Carray, shape [n_samples]
Predicted class label per sample. | |
doc_5447 |
Add an Artist to the figure. Usually artists are added to Axes objects using Axes.add_artist; this method can be used in the rare cases where one needs to add artists directly to the figure instead. Parameters
artistArtist
The artist to add to the figure. If the added artist has no transform previously set, its... | |
doc_5448 | See Migration guide for more details. tf.compat.v1.raw_ops.CSVDatasetV2
tf.raw_ops.CSVDatasetV2(
filenames, compression_type, buffer_size, header, field_delim, use_quote_delim,
na_value, select_cols, record_defaults, exclude_cols, output_shapes, name=None
)
Args
filenames A Tensor of type string.
... | |
doc_5449 |
Return the companion matrix of c. The usual companion matrix of the Laguerre polynomials is already symmetric when c is a basis Laguerre polynomial, so no scaling is applied. Parameters
carray_like
1-D array of Laguerre series coefficients ordered from low to high degree. Returns
matndarray
Companion ma... | |
doc_5450 | Removes the specified handler hdlr from this logger. | |
doc_5451 |
Set the normalization instance. Parameters
normNormalize or None
Notes If there are any colorbars using the mappable for this norm, setting the norm of the mappable will reset the norm, locator, and formatters on the colorbar to default. | |
doc_5452 |
An instance of ‘ExtensionDtype’. | |
doc_5453 |
Call this whenever the mappable is changed to notify all the callbackSM listeners to the 'changed' signal. | |
doc_5454 | See Migration guide for more details. tf.compat.v1.keras.applications.vgg16.preprocess_input
tf.keras.applications.vgg16.preprocess_input(
x, data_format=None
)
Usage example with applications.MobileNet: i = tf.keras.layers.Input([None, None, 3], dtype = tf.uint8)
x = tf.cast(i, tf.float32)
x = tf.keras.applicat... | |
doc_5455 | Returns a new tensor with each of the elements of input converted from angles in degrees to radians. Parameters
input (Tensor) – the input tensor. Keyword Arguments
out (Tensor, optional) – the output tensor. Example: >>> a = torch.tensor([[180.0, -180.0], [360.0, -360.0], [90.0, -90.0]])
>>> torch.deg2rad(a)
ten... | |
doc_5456 | imaplib.IMAP4.unselect() frees server’s resources associated with the selected mailbox and returns the server to the authenticated state. This command performs the same actions as imaplib.IMAP4.close(), except that no messages are permanently removed from the currently selected mailbox. New in version 3.9. | |
doc_5457 | Read-only access to size in bytes of the shared memory block. | |
doc_5458 |
Wraps a given function with __torch_function__ -related functionality. Parameters
dispatcher (Callable) – A callable that returns an iterable of Tensor-likes passed into the function. Note This decorator may reduce the performance of your code. Generally, it’s enough to express your code as a series of functions... | |
doc_5459 | Force write of file with filedescriptor fd to disk. On Unix, this calls the native fsync() function; on Windows, the MS _commit() function. If you’re starting with a buffered Python file object f, first do f.flush(), and then do os.fsync(f.fileno()), to ensure that all internal buffers associated with f are written to ... | |
doc_5460 | The Accept-Ranges header. Even though the name would indicate that multiple values are supported, it must be one string token only. The values 'bytes' and 'none' are common. Changelog New in version 0.7. | |
doc_5461 | See Migration guide for more details. tf.compat.v1.sparse.reset_shape, tf.compat.v1.sparse_reset_shape
tf.sparse.reset_shape(
sp_input, new_shape=None
)
If new_shape is None, returns a copy of sp_input with its shape reset to the tight bounding box of sp_input. This will be a shape consisting of all zeros if sp_... | |
doc_5462 | IMAP4 server errors cause this exception to be raised. This is a sub-class of IMAP4.error. Note that closing the instance and instantiating a new one will usually allow recovery from this exception. | |
doc_5463 | class sklearn.compose.ColumnTransformer(transformers, *, remainder='drop', sparse_threshold=0.3, n_jobs=None, transformer_weights=None, verbose=False) [source]
Applies transformers to columns of an array or pandas DataFrame. This estimator allows different columns or column subsets of the input to be transformed sepa... | |
doc_5464 |
Bases: object classFixed(axes, loc, nth_coord=None)[source]
Bases: mpl_toolkits.axisartist.axislines.AxisArtistHelper.Fixed nth_coord = along which coordinate value varies in 2D, nth_coord = 0 -> x axis, nth_coord = 1 -> y axis get_tick_iterators(axes)[source]
tick_loc, tick_angle, tick_label
classFloat... | |
doc_5465 | The right-hand side - what lhs is being compared against. It can be a plain value, or something that compiles into SQL, typically an F() object or a QuerySet. | |
doc_5466 | turtle.clearscreen()
Delete all drawings and all turtles from the TurtleScreen. Reset the now empty TurtleScreen to its initial state: white background, no background image, no event bindings and tracing on. Note This TurtleScreen method is available as a global function only under the name clearscreen. The global f... | |
doc_5467 | Makes a TRACE request on the provided path and returns a Response object. Useful for simulating diagnostic probes. Unlike the other request methods, data is not provided as a keyword parameter in order to comply with RFC 7231#section-4.3.8, which mandates that TRACE requests must not have a body. The follow, secure, an... | |
doc_5468 | Like set_cookie(), but cryptographic signing the cookie before setting it. Use in conjunction with HttpRequest.get_signed_cookie(). You can use the optional salt argument for added key strength, but you will need to remember to pass it to the corresponding HttpRequest.get_signed_cookie() call. | |
doc_5469 | tf.debugging.assert_non_negative(
x, message=None, summarize=None, name=None
)
This Op checks that x[i] >= 0 holds for every element of x. If x is empty, this is trivially satisfied. If x is not >= 0 everywhere, message, as well as the first summarize entries of x are printed, and InvalidArgumentError is raised.
... | |
doc_5470 |
Return whether the Artist has an explicitly set transform. This is True after set_transform has been called. | |
doc_5471 |
Get parameters for this estimator. Parameters
deepbool, default=True
If True, will return the parameters for this estimator and contained subobjects that are estimators. Returns
paramsdict
Parameter names mapped to their values. | |
doc_5472 | Make an iterator that aggregates elements from each of the iterables. Returns an iterator of tuples, where the i-th tuple contains the i-th element from each of the argument sequences or iterables. The iterator stops when the shortest input iterable is exhausted. With a single iterable argument, it returns an iterator ... | |
doc_5473 |
Create a new composite transform that is the result of applying transform a then transform b. Shortcut versions of the blended transform are provided for the case where both child transforms are affine, or one or the other is the identity transform. Composite transforms may also be created using the '+' operator, e.g... | |
doc_5474 | Make an entry into the ControlEvent table for this control. | |
doc_5475 |
Get parameters for this estimator. Parameters
deepbool, default=True
If True, will return the parameters for this estimator and contained subobjects that are estimators. Returns
paramsdict
Parameter names mapped to their values. | |
doc_5476 | Should return True if deleting an inline object is permitted, False otherwise. obj is the parent object being edited. | |
doc_5477 | See Migration guide for more details. tf.compat.v1.raw_ops.BatchMatrixBandPart
tf.raw_ops.BatchMatrixBandPart(
input, num_lower, num_upper, name=None
)
Args
input A Tensor.
num_lower A Tensor of type int64.
num_upper A Tensor of type int64.
name A name for the operation (optional).
... | |
doc_5478 |
Predict regression target for each iteration This method allows monitoring (i.e. determine error on testing set) after each stage. New in version 0.24. Parameters
Xarray-like of shape (n_samples, n_features)
The input samples. Yields
ygenerator of ndarray of shape (n_samples,)
The predicted values of ... | |
doc_5479 | Return True if the call is currently being executed and cannot be cancelled. | |
doc_5480 |
ctypes interface Returns
interfacenamedtuple
Named tuple containing ctypes wrapper state_address - Memory address of the state struct state - pointer to the state struct next_uint64 - function pointer to produce 64 bit integers next_uint32 - function pointer to produce 32 bit integers next_double - function po... | |
doc_5481 | tf.experimental.numpy.argmin(
a, axis=None
)
Unsupported arguments: out. See the NumPy documentation for numpy.argmin. | |
doc_5482 | Exception raised when string interpolation cannot be completed because the number of iterations exceeds MAX_INTERPOLATION_DEPTH. Subclass of InterpolationError. | |
doc_5483 | sklearn.utils.metaestimators.if_delegate_has_method(delegate) [source]
Create a decorator for methods that are delegated to a sub-estimator This enables ducktyping by hasattr returning True according to the sub-estimator. Parameters
delegatestring, list of strings or tuple of strings
Name of the sub-estimator t... | |
doc_5484 | Returns the logarithm of the cumulative summation of the exponentiation of elements of input in the dimension dim. For summation index jj given by dim and other indices ii , the result is logcumsumexp(x)ij=log∑j=0iexp(xij)\text{logcumsumexp}(x)_{ij} = \log \sum\limits_{j=0}^{i} \exp(x_{ij}) Parameters
input (... | |
doc_5485 |
Set multiple properties at once. Supported properties are
Property Description
adjustable {'box', 'datalim'}
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
anchor (float, float) or {'C', 'SW', 'S', 'SE', 'E', 'NE', ...}... | |
doc_5486 |
Get parameters for this estimator. Parameters
deepbool, default=True
If True, will return the parameters for this estimator and contained subobjects that are estimators. Returns
paramsdict
Parameter names mapped to their values. | |
doc_5487 |
Compute Area Under the Curve (AUC) using the trapezoidal rule. This is a general function, given points on a curve. For computing the area under the ROC-curve, see roc_auc_score. For an alternative way to summarize a precision-recall curve, see average_precision_score. Parameters
xndarray of shape (n,)
x coordi... | |
doc_5488 | Adds a function to the internal list of functions that should be called as part of closing down the response. Since 0.7 this function also returns the function that was passed so that this can be used as a decorator. Changelog New in version 0.6. Parameters
func (Callable[[], Any]) – Return type
Callable[[], Any... | |
doc_5489 | Acquire a lock, blocking or non-blocking. When invoked without arguments: if this thread already owns the lock, increment the recursion level by one, and return immediately. Otherwise, if another thread owns the lock, block until the lock is unlocked. Once the lock is unlocked (not owned by any thread), then grab owner... | |
doc_5490 | Returns True if the given key is set. This lets you do, e.g., if "foo"
in request.GET. | |
doc_5491 | Exit code that means that a required service is unavailable. Availability: Unix. | |
doc_5492 |
Return a Path for a unit regular asterisk with the given numVertices and radius of 1.0, centered at (0, 0). | |
doc_5493 |
Get parameters for this estimator. Parameters
deepbool, default=True
If True, will return the parameters for this estimator and contained subobjects that are estimators. Returns
paramsdict
Parameter names mapped to their values. | |
doc_5494 | Returns the number of dimensions. ndim -> int A pixel array can be 1 or 2 dimensional. New in pygame 1.9.2. | |
doc_5495 | The name of a template to display for the view used to log the user in. Defaults to registration/login.html. | |
doc_5496 | Mark the graph as finished and check for cycles in the graph. If any cycle is detected, CycleError will be raised, but get_ready() can still be used to obtain as many nodes as possible until cycles block more progress. After a call to this function, the graph cannot be modified, and therefore no more nodes can be added... | |
doc_5497 | Clone this node. Setting deep means to clone all child nodes as well. This returns the clone. | |
doc_5498 | Select a mailbox. Returned data is the count of messages in mailbox (EXISTS response). The default mailbox is 'INBOX'. If the readonly flag is set, modifications to the mailbox are not allowed. | |
doc_5499 | sklearn.utils.validation.check_memory(memory) [source]
Check that memory is joblib.Memory-like. joblib.Memory-like means that memory can be converted into a joblib.Memory instance (typically a str denoting the location) or has the same interface (has a cache method). Parameters
memoryNone, str or object with the ... |
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