_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_23300 |
Bases: Exception Raised when trying show a figure in a non-GUI backend. | |
doc_23301 | A callable that takes two arguments, name and value, where name is a header field name and value is an unfolded header field value, and returns a string subclass that represents that header. A default header_factory (see headerregistry) is provided that supports custom parsing for the various address and date RFC 5322 ... | |
doc_23302 | self.short() is equivalent to self.to(torch.int16). See to(). Parameters
memory_format (torch.memory_format, optional) – the desired memory format of returned Tensor. Default: torch.preserve_format. | |
doc_23303 | Returns the input values as a JSON array, or default if there are no values. You can query the result using key and index lookups.
distinct
New in Django 3.2. An optional boolean argument that determines if array values will be distinct. Defaults to False.
ordering
New in Django 3.2. An optional string of... | |
doc_23304 |
Set the parameters of this kernel. The method works on simple kernels as well as on nested kernels. The latter have parameters of the form <component>__<parameter> so that it’s possible to update each component of a nested object. Returns
self | |
doc_23305 |
Convert strings in the Series/Index to lowercase. Equivalent to str.lower(). Returns
Series or Index of object
See also Series.str.lower
Converts all characters to lowercase. Series.str.upper
Converts all characters to uppercase. Series.str.title
Converts first character of each word to uppercase and rem... | |
doc_23306 |
Query the columns of a DataFrame with a boolean expression. Parameters
expr:str
The query string to evaluate. You can refer to variables in the environment by prefixing them with an ‘@’ character like @a + b. You can refer to column names that are not valid Python variable names by surrounding them in backticks... | |
doc_23307 |
Bases: skimage.viewer.plugins.plotplugin.PlotPlugin Plugin to compute interpolated intensity under a scan line on an image. See PlotPlugin and Plugin classes for additional details. Parameters
maxdistfloat
Maximum pixel distance allowed when selecting end point of scan line.
limitstuple or {None, ‘image’, ‘dt... | |
doc_23308 | Call the underlying MessageBeep() function from the Platform API. This plays a sound as specified in the registry. The type argument specifies which sound to play; possible values are -1, MB_ICONASTERISK, MB_ICONEXCLAMATION, MB_ICONHAND, MB_ICONQUESTION, and MB_OK, all described below. The value -1 produces a “simple b... | |
doc_23309 | See Migration guide for more details. tf.compat.v1.keras.models.clone_model
tf.keras.models.clone_model(
model, input_tensors=None, clone_function=None
)
Model cloning is similar to calling a model on new inputs, except that it creates new layers (and thus new weights) instead of sharing the weights of the exist... | |
doc_23310 | bz2.open(filename, mode='rb', compresslevel=9, encoding=None, errors=None, newline=None)
Open a bzip2-compressed file in binary or text mode, returning a file object. As with the constructor for BZ2File, the filename argument can be an actual filename (a str or bytes object), or an existing file object to read from o... | |
doc_23311 |
Kernel Principal component analysis (KPCA). Non-linear dimensionality reduction through the use of kernels (see Pairwise metrics, Affinities and Kernels). Read more in the User Guide. Parameters
n_componentsint, default=None
Number of components. If None, all non-zero components are kept.
kernel{‘linear’, ‘po... | |
doc_23312 | See Migration guide for more details. tf.compat.v1.fake_quant_with_min_max_vars_per_channel, tf.compat.v1.quantization.fake_quant_with_min_max_vars_per_channel
tf.quantization.fake_quant_with_min_max_vars_per_channel(
inputs, min, max, num_bits=8, narrow_range=False, name=None
)
Fake-quantize the inputs tensor o... | |
doc_23313 | class sklearn.decomposition.FastICA(n_components=None, *, algorithm='parallel', whiten=True, fun='logcosh', fun_args=None, max_iter=200, tol=0.0001, w_init=None, random_state=None) [source]
FastICA: a fast algorithm for Independent Component Analysis. Read more in the User Guide. Parameters
n_componentsint, defau... | |
doc_23314 | See Migration guide for more details. tf.compat.v1.config.optimizer.set_experimental_options
tf.config.optimizer.set_experimental_options(
options
)
Note that optimizations are only applied in graph mode, (within tf.function). In addition, as these are experimental options, the list is subject to change.
Ar... | |
doc_23315 |
Generate cross-validated estimates for each input data point The data is split according to the cv parameter. Each sample belongs to exactly one test set, and its prediction is computed with an estimator fitted on the corresponding training set. Passing these predictions into an evaluation metric may not be a valid w... | |
doc_23316 | Return the interpreter specified in the #! line at the start of the archive. If there is no #! line, return None. The archive argument can be a filename or a file-like object open for reading in bytes mode. It is assumed to be at the start of the archive. | |
doc_23317 | This method for the Stats class removes all leading path information from file names. It is very useful in reducing the size of the printout to fit within (close to) 80 columns. This method modifies the object, and the stripped information is lost. After performing a strip operation, the object is considered to have it... | |
doc_23318 | Computes the multiplicative inverse matrix of a square matrix input, or of each square matrix in a batched input. The result satisfies the relation: matmul(inv(input),input) = matmul(input,inv(input)) = eye(input.shape[0]).expand_as(input). Supports input of float, double, cfloat and cdouble data types. Note When give... | |
doc_23319 |
Return the number of bytes in the underlying data. | |
doc_23320 |
Update colors from the scalar mappable array, if any. Assign colors to edges and faces based on the array and/or colors that were directly set, as appropriate. | |
doc_23321 |
Whether the categories have an ordered relationship. | |
doc_23322 | torch.random.fork_rng(devices=None, enabled=True, _caller='fork_rng', _devices_kw='devices') [source]
Forks the RNG, so that when you return, the RNG is reset to the state that it was previously in. Parameters
devices (iterable of CUDA IDs) – CUDA devices for which to fork the RNG. CPU RNG state is always forked.... | |
doc_23323 | A list of functions performing the individual tests. Each function takes two arguments: the byte-stream and an open file-like object. When what() is called with a byte-stream, the file-like object will be None. The test function should return a string describing the image type if the test succeeded, or None if it faile... | |
doc_23324 |
Block until the value of this Future is ready. Returns
The value held by this Future. If the function (callback or RPC) creating the value has thrown an error, this wait method will also throw an error. | |
doc_23325 |
Return the current hatching pattern. | |
doc_23326 | tf.profiler.experimental.stop(
save=True
)
The profiler session will be stopped and profile results can be saved.
Args
save An optional variable to save the results to TensorBoard. Default True.
Raises
UnavailableError If there is no active profiling session. | |
doc_23327 |
A 1-D view of the scalar. | |
doc_23328 |
Dump a pickle of the array to the specified file. The array can be read back with pickle.load or numpy.load. Parameters
filestr or Path
A string naming the dump file. Changed in version 1.17.0: pathlib.Path objects are now accepted. | |
doc_23329 | For a nonzero number, return the adjusted exponent of its operand as a Decimal instance. If the operand is a zero then Decimal('-Infinity') is returned and the DivisionByZero flag is raised. If the operand is an infinity then Decimal('Infinity') is returned. | |
doc_23330 |
Return whether the artist is pickable. See also
set_picker, get_picker, pick | |
doc_23331 |
Add embedding projector data to summary. Parameters
mat (torch.Tensor or numpy.array) – A matrix which each row is the feature vector of the data point
metadata (list) – A list of labels, each element will be convert to string
label_img (torch.Tensor) – Images correspond to each data point
global_step (int) – ... | |
doc_23332 |
Show the docstring of entrypoint model. Parameters
github (string) – a string with format <repo_owner/repo_name[:tag_name]> with an optional tag/branch. The default branch is master if not specified. Example: ‘pytorch/vision[:hub]’
model (string) – a string of entrypoint name defined in repo’s hubconf.py
force_... | |
doc_23333 | Convert to a string, using engineering notation if an exponent is needed. Engineering notation has an exponent which is a multiple of 3. This can leave up to 3 digits to the left of the decimal place and may require the addition of either one or two trailing zeros. | |
doc_23334 | tf.compat.v1.layers.Flatten(
data_format=None, **kwargs
)
Arguments
data_format A string, one of channels_last (default) or channels_first. The ordering of the dimensions in the inputs. channels_last corresponds to inputs with shape (batch, ..., channels) while channels_first corresponds to inputs with sh... | |
doc_23335 | Returns the netloc unchanged as bytes. Return type
bytes | |
doc_23336 | Returns the value for the given header, or an alternate if the header doesn’t exist. | |
doc_23337 |
Set the image extent. Parameters
extent4-tuple of float
The position and size of the image as tuple (left, right, bottom, top) in data coordinates. Notes This updates ax.dataLim, and, if autoscaling, sets ax.viewLim to tightly fit the image, regardless of dataLim. Autoscaling state is not changed, so follow... | |
doc_23338 |
Return the font stretch or width. Options are: 'ultra-condensed', 'extra-condensed', 'condensed', 'semi-condensed', 'normal', 'semi-expanded', 'expanded', 'extra-expanded', 'ultra-expanded'. | |
doc_23339 | Returns a new instance of the StreamHandler class. If stream is specified, the instance will use it for logging output; otherwise, sys.stderr will be used.
emit(record)
If a formatter is specified, it is used to format the record. The record is then written to the stream followed by terminator. If exception informa... | |
doc_23340 | This function is used by check() to process tokens generated by the tokenize module. | |
doc_23341 | tf.experimental.numpy.logaddexp2(
x1, x2
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.logaddexp2. | |
doc_23342 |
Whether this object allows duplicate labels. Setting allows_duplicate_labels=False ensures that the index (and columns of a DataFrame) are unique. Most methods that accept and return a Series or DataFrame will propagate the value of allows_duplicate_labels. See Duplicate Labels for more. See also DataFrame.attrs
S... | |
doc_23343 |
Set the artist offset transform. Parameters
transOffsetTransform | |
doc_23344 | The string used to terminate lines produced by the writer. It defaults to '\r\n'. Note The reader is hard-coded to recognise either '\r' or '\n' as end-of-line, and ignores lineterminator. This behavior may change in the future. | |
doc_23345 |
Bases: matplotlib.transforms.BboxBase A mutable bounding box. Examples Create from known bounds The default constructor takes the boundary "points" [[xmin, ymin],
[xmax, ymax]]. >>> Bbox([[1, 1], [3, 7]])
Bbox([[1.0, 1.0], [3.0, 7.0]])
Alternatively, a Bbox can be created from the flattened points array, the so-call... | |
doc_23346 |
Draw the Artist (and its children) using the given renderer. This has no effect if the artist is not visible (Artist.get_visible returns False). Parameters
rendererRendererBase subclass.
Notes This method is overridden in the Artist subclasses. | |
doc_23347 | For a MemoryHandler, flushing means just sending the buffered records to the target, if there is one. The buffer is also cleared when this happens. Override if you want different behavior. | |
doc_23348 |
Select features according to the k highest scores. Read more in the User Guide. Parameters
score_funccallable, default=f_classif
Function taking two arrays X and y, and returning a pair of arrays (scores, pvalues) or a single array with scores. Default is f_classif (see below “See Also”). The default function o... | |
doc_23349 | Returns an unused port that should be suitable for binding. This is achieved by creating a temporary socket with the same family and type as the sock parameter (default is AF_INET, SOCK_STREAM), and binding it to the specified host address (defaults to 0.0.0.0) with the port set to 0, eliciting an unused ephemeral port... | |
doc_23350 | Return the text of the source code for an object. The argument may be a module, class, method, function, traceback, frame, or code object. The source code is returned as a single string. An OSError is raised if the source code cannot be retrieved. Changed in version 3.3: OSError is raised instead of IOError, now an al... | |
doc_23351 | writes a timestamped system-exclusive midi message. write_sys_ex(when, msg) -> None Writes a timestamped system-exclusive midi message.
Parameters:
msg (list[int] or str) -- midi message
when -- timestamp in milliseconds Example: midi_output.write_sys_ex(0, '\xF0\x7D\x10\x11\x12\x13\xF7')
# is equivale... | |
doc_23352 | See Migration guide for more details. tf.compat.v1.raw_ops.StringToHashBucket
tf.raw_ops.StringToHashBucket(
string_tensor, num_buckets, name=None
)
The hash function is deterministic on the content of the string within the process. Note that the hash function may change from time to time. This functionality wil... | |
doc_23353 |
Set the path effects. Parameters
path_effectsAbstractPathEffect | |
doc_23354 | This method is called from dispatch_call() when there is the possibility that a break might be necessary anywhere inside the called function. | |
doc_23355 | tf.experimental.numpy.append(
arr, values, axis=None
)
See the NumPy documentation for numpy.append. | |
doc_23356 | Return the value of the environment variable key if it exists, or default if it doesn’t. key, default and the result are bytes. getenvb() is only available if supports_bytes_environ is True. Availability: most flavors of Unix. New in version 3.2. | |
doc_23357 |
Return the aspect ratio of the bbox mutation. | |
doc_23358 | See Migration guide for more details. tf.compat.v1.raw_ops.ExperimentalMaxIntraOpParallelismDataset
tf.raw_ops.ExperimentalMaxIntraOpParallelismDataset(
input_dataset, max_intra_op_parallelism, output_types, output_shapes, name=None
)
Args
input_dataset A Tensor of type variant.
max_intra_op_paralle... | |
doc_23359 | Option for create_default_context() and SSLContext.load_default_certs(). This value indicates that the context may be used to authenticate Web clients (therefore, it will be used to create server-side sockets). New in version 3.4. | |
doc_23360 | Between MINYEAR and MAXYEAR inclusive. | |
doc_23361 |
CFFI interface Returns
interfacenamedtuple
Named tuple containing CFFI 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 pointe... | |
doc_23362 | Combination of all locale settings. If this flag is used when the locale is changed, setting the locale for all categories is attempted. If that fails for any category, no category is changed at all. When the locale is retrieved using this flag, a string indicating the setting for all categories is returned. This strin... | |
doc_23363 |
Call function producing a like-indexed Series on each group and return a Series having the same indexes as the original object filled with the transformed values. Parameters
f:function
Function to apply to each group. Can also accept a Numba JIT function with engine='numba' specified. If the 'numba' engine is c... | |
doc_23364 | class sklearn.ensemble.RandomForestClassifier(n_estimators=100, *, criterion='gini', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features='auto', max_leaf_nodes=None, min_impurity_decrease=0.0, min_impurity_split=None, bootstrap=True, oob_score=False, n_jobs=None, random_s... | |
doc_23365 |
Return the coefficient of determination \(R^2\) of the prediction. The coefficient \(R^2\) is defined as \((1 - \frac{u}{v})\), where \(u\) is the residual sum of squares ((y_true - y_pred)
** 2).sum() and \(v\) is the total sum of squares ((y_true -
y_true.mean()) ** 2).sum(). The best possible score is 1.0 and it c... | |
doc_23366 |
Multiply self by other, and return a new masked array. | |
doc_23367 | Set a task factory that will be used by loop.create_task(). If factory is None the default task factory will be set. Otherwise, factory must be a callable with the signature matching (loop, coro), where loop is a reference to the active event loop, and coro is a coroutine object. The callable must return a asyncio.Futu... | |
doc_23368 |
Registers a Constraint subclass in this registry. Usage: @my_registry.register(MyConstraintClass)
def construct_transform(constraint):
assert isinstance(constraint, MyConstraint)
return MyTransform(constraint.arg_constraints)
Parameters
constraint (subclass of Constraint) – A subclass of Constraint, or a... | |
doc_23369 | See Migration guide for more details. tf.compat.v1.debugging.get_log_device_placement
tf.debugging.get_log_device_placement()
Returns If device placements are logged. | |
doc_23370 |
True if this transform has a corresponding inverse transform. | |
doc_23371 | Instructs writer objects to quote all non-numeric fields. Instructs the reader to convert all non-quoted fields to type float. | |
doc_23372 | items(section, raw=False, vars=None)
When section is not given, return a list of section_name, section_proxy pairs, including DEFAULTSECT. Otherwise, return a list of name, value pairs for the options in the given section. Optional arguments have the same meaning as for the get() method. Changed in version 3.8: Item... | |
doc_23373 |
The negative log likelihood loss. See NLLLoss for details. Parameters
input – (N,C)(N, C) where C = number of classes or (N,C,H,W)(N, C, H, W) in case of 2D Loss, or (N,C,d1,d2,...,dK)(N, C, d_1, d_2, ..., d_K) where K≥1K \geq 1 in the case of K-dimensional loss.
target – (N)(N) where each value is 0≤target... | |
doc_23374 |
Use an index array to construct a new array from a set of choices. Refer to numpy.choose for full documentation. See also numpy.choose
equivalent function | |
doc_23375 | class logging.StreamHandler(stream=None)
Returns a new instance of the StreamHandler class. If stream is specified, the instance will use it for logging output; otherwise, sys.stderr will be used.
emit(record)
If a formatter is specified, it is used to format the record. The record is then written to the stream f... | |
doc_23376 |
Attempt to infer better dtypes for object columns. Attempts soft conversion of object-dtyped columns, leaving non-object and unconvertible columns unchanged. The inference rules are the same as during normal Series/DataFrame construction. Returns
converted:same type as input object
See also to_datetime
Con... | |
doc_23377 | Returns a queryset, filtered using the query arguments defined by lookup. Enforces any restrictions on the queryset, such as allow_empty and allow_future. | |
doc_23378 |
Return threshold value based on Yen’s method. Either image or hist must be provided. In case hist is given, the actual histogram of the image is ignored. Parameters
image(N, M) ndarray, optional
Input image.
nbinsint, optional
Number of bins used to calculate histogram. This value is ignored for integer arr... | |
doc_23379 |
Apply the non-affine part of this transform to Path path, returning a new Path. transform_path(path) is equivalent to transform_path_affine(transform_path_non_affine(values)). | |
doc_23380 | class sklearn.multioutput.RegressorChain(base_estimator, *, order=None, cv=None, random_state=None) [source]
A multi-label model that arranges regressions into a chain. Each model makes a prediction in the order specified by the chain using all of the available features provided to the model plus the predictions of m... | |
doc_23381 | Return True if the object can be used in await expression. Can also be used to distinguish generator-based coroutines from regular generators: def gen():
yield
@types.coroutine
def gen_coro():
yield
assert not isawaitable(gen())
assert isawaitable(gen_coro())
New in version 3.5. | |
doc_23382 | See Migration guide for more details. tf.compat.v1.raw_ops.StackPushV2
tf.raw_ops.StackPushV2(
handle, elem, swap_memory=False, name=None
)
Args
handle A Tensor of type resource. The handle to a stack.
elem A Tensor. The tensor to be pushed onto the stack.
swap_memory An optional bool. Defau... | |
doc_23383 | Tuple of strings listing the field names. Useful for introspection and for creating new named tuple types from existing named tuples. >>> p._fields # view the field names
('x', 'y')
>>> Color = namedtuple('Color', 'red green blue')
>>> Pixel = namedtuple('Pixel', Point._fields + Color._fields)
>>> Pixel(11,... | |
doc_23384 |
Fit the estimators. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
Training vectors, where n_samples is the number of samples and n_features is the number of features.
yarray-like of shape (n_samples,)
Target values.
sample_weightarray-like of shape (n_samples,), default=None
S... | |
doc_23385 | This attribute is optional when the form field does not have a choices attribute. If it does, it will override anything you set here when the attribute is updated on the Field. | |
doc_23386 |
Set the sketch parameters. Parameters
scalefloat, optional
The amplitude of the wiggle perpendicular to the source line, in pixels. If scale is None, or not provided, no sketch filter will be provided.
lengthfloat, optional
The length of the wiggle along the line, in pixels (default 128.0)
randomnessfloat... | |
doc_23387 |
Fill NA/NaN values using the specified method. Parameters
value:scalar, dict, Series, or DataFrame
Value to use to fill holes (e.g. 0), alternately a dict/Series/DataFrame of values specifying which value to use for each index (for a Series) or column (for a DataFrame). Values not in the dict/Series/DataFrame w... | |
doc_23388 | Reorders n-dimensional FFT data, as provided by fftn(), to have negative frequency terms first. This performs a periodic shift of n-dimensional data such that the origin (0, ..., 0) is moved to the center of the tensor. Specifically, to input.shape[dim] // 2 in each selected dimension. Note By convention, the FFT retu... | |
doc_23389 | Represents a reader object that provides APIs to read data from the IO stream. It is not recommended to instantiate StreamReader objects directly; use open_connection() and start_server() instead.
coroutine read(n=-1)
Read up to n bytes. If n is not provided, or set to -1, read until EOF and return all read bytes. ... | |
doc_23390 | Set the virtual screen cursor to y, x. If y and x are both -1, then leaveok is set True. | |
doc_23391 |
Like rfind, but raises ValueError when the substring sub is not found. Calls str.rindex element-wise. Parameters
aarray-like of str or unicode
substr or unicode
start, endint, optional
Returns
outndarray
Output array of ints. See also
rfind, str.rindex | |
doc_23392 | Tag classes to bind when creating the serializer. Other tags can be added later using register(). | |
doc_23393 | The prefix that should be used for all URLs defined on the blueprint. | |
doc_23394 | Return the value of the boundary parameter of the Content-Type header of the message, or failobj if either the header is missing, or has no boundary parameter. The returned string will always be unquoted as per email.utils.unquote(). | |
doc_23395 | Logs a message with level ERROR on this logger. The arguments are interpreted as for debug(). | |
doc_23396 | Return the time of last access of path. The return value is a floating point number giving the number of seconds since the epoch (see the time module). Raise OSError if the file does not exist or is inaccessible. | |
doc_23397 | Both parameters are raw strings of the names. asname can be None if the regular name is to be used. >>> print(ast.dump(ast.parse('from ..foo.bar import a as b, c'), indent=4))
Module(
body=[
ImportFrom(
module='foo.bar',
names=[
alias(name='a', asname='b'),
... | |
doc_23398 |
Return the scaled companion matrix of c. The basis polynomials are scaled so that the companion matrix is symmetric when c is a Chebyshev basis polynomial. This provides better eigenvalue estimates than the unscaled case and for basis polynomials the eigenvalues are guaranteed to be real if numpy.linalg.eigvalsh is u... | |
doc_23399 |
Dump a pickle of the array to the specified file. The array can be read back with pickle.load or numpy.load. Parameters
filestr or Path
A string naming the dump file. Changed in version 1.17.0: pathlib.Path objects are now accepted. |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.