_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_23500 |
Add a rotation (in degrees) around the point (x, y) in place. Returns self, so this method can easily be chained with more calls to rotate(), rotate_deg(), translate() and scale(). | |
doc_23501 | See torch.cross() | |
doc_23502 |
Return the clip path. | |
doc_23503 |
Predict using the linear model. In addition to the mean of the predictive distribution, also its standard deviation can be returned. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
Samples.
return_stdbool, default=False
Whether to return the standard deviation of posterior predictio... | |
doc_23504 |
Return the corresponding inverse transformation. It holds x == self.inverted().transform(self.transform(x)). The return value of this method should be treated as temporary. An update to self does not cause a corresponding update to its inverted copy. | |
doc_23505 | Connect to a TCP service listening on the Internet address (a 2-tuple (host, port)), and return the socket object. This is a higher-level function than socket.connect(): if host is a non-numeric hostname, it will try to resolve it for both AF_INET and AF_INET6, and then try to connect to all possible addresses in turn ... | |
doc_23506 |
Convert the view interval to datetime objects. | |
doc_23507 | See Migration guide for more details. tf.compat.v1.compat.dimension_value, tf.compat.v1.dimension_value
tf.compat.dimension_value(
dimension
)
Until the release of TF 2.0, we need the legacy behavior of TensorShape to coexist with the new behavior. This utility is a bridge between the two. When accessing the val... | |
doc_23508 |
Alias for get_edgecolor. | |
doc_23509 |
Coffee cup. This photograph is courtesy of Pikolo Espresso Bar. It contains several elliptical shapes as well as varying texture (smooth porcelain to course wood grain). Returns
coffee(400, 600, 3) uint8 ndarray
Coffee image. Notes No copyright restrictions. CC0 by the photographer (Rachel Michetti). | |
doc_23510 | See Migration guide for more details. tf.compat.v1.ragged.row_splits_to_segment_ids
tf.ragged.row_splits_to_segment_ids(
splits, name=None, out_type=None
)
Returns an integer vector segment_ids, where segment_ids[i] == j if splits[j] <= i < splits[j+1]. Example:
print(tf.ragged.row_splits_to_segment_ids([0, 3, ... | |
doc_23511 | unlock()
Maildir mailboxes do not support (or require) locking, so these methods do nothing. | |
doc_23512 | Perform a shortest-path graph search on a positive directed or undirected graph. Parameters
dist_matrixarraylike or sparse matrix, shape = (N,N)
Array of positive distances. If vertex i is connected to vertex j, then dist_matrix[i,j] gives the distance between the vertices. If vertex i is not connected to vertex ... | |
doc_23513 | Return the RFC 3977 capabilities advertised by the server, as a dict instance mapping capability names to (possibly empty) lists of values. On legacy servers which don’t understand the CAPABILITIES command, an empty dictionary is returned instead. >>> s = NNTP('news.gmane.io')
>>> 'POST' in s.getcapabilities()
True
N... | |
doc_23514 | Instances of FileCookieJar raise this exception on failure to load cookies from a file. LoadError is a subclass of OSError. Changed in version 3.3: LoadError was made a subclass of OSError instead of IOError. | |
doc_23515 |
The @cached_property decorator caches the result of a method with a single self argument as a property. The cached result will persist as long as the instance does, so if the instance is passed around and the function subsequently invoked, the cached result will be returned. Consider a typical case, where a view migh... | |
doc_23516 | Run the tests associated with this suite without collecting the result. This allows exceptions raised by the test to be propagated to the caller and can be used to support running tests under a debugger. | |
doc_23517 | See torch.div() | |
doc_23518 |
Return boolean if values in the object are monotonic_increasing. Returns
bool | |
doc_23519 | Windows only: this function is probably the worst-named thing in ctypes. It creates an instance of OSError. If code is not specified, GetLastError is called to determine the error code. If descr is not specified, FormatError() is called to get a textual description of the error. Changed in version 3.3: An instance of ... | |
doc_23520 |
Grab the image information from the figure and save as a movie frame. All keyword arguments in savefig_kwargs are passed on to the savefig call that saves the figure. | |
doc_23521 | tf.compat.v1.zeros_like(
tensor, dtype=None, name=None, optimize=True
)
See also tf.zeros. Given a single tensor (tensor), this operation returns a tensor of the same type and shape as tensor with all elements set to zero. Optionally, you can use dtype to specify a new type for the returned tensor. Examples:
tens... | |
doc_23522 |
Combine the Series with a Series or scalar according to func. Combine the Series and other using func to perform elementwise selection for combined Series. fill_value is assumed when value is missing at some index from one of the two objects being combined. Parameters
other:Series or scalar
The value(s) to be c... | |
doc_23523 | socket.AF_INET
socket.AF_INET6
These constants represent the address (and protocol) families, used for the first argument to socket(). If the AF_UNIX constant is not defined then this protocol is unsupported. More constants may be available depending on the system. | |
doc_23524 | Print a warning into sys.__stderr__. Format the message as: f"Warning -- {msg}". If msg is made of multiple lines, add "Warning -- " prefix to each line. New in version 3.9. | |
doc_23525 | See Migration guide for more details. tf.compat.v1.raw_ops.SparseDenseCwiseAdd
tf.raw_ops.SparseDenseCwiseAdd(
sp_indices, sp_values, sp_shape, dense, name=None
)
(1) Broadcasts the dense side to have the same shape as the sparse side, if eligible; (2) Then, only the dense values pointed to by the indices of the... | |
doc_23526 | See Migration guide for more details. tf.compat.v1.config.threading.get_inter_op_parallelism_threads
tf.config.threading.get_inter_op_parallelism_threads()
Determines the number of threads used by independent non-blocking operations. 0 means the system picks an appropriate number.
Returns Number of parallel t... | |
doc_23527 | sklearn.metrics.cluster.pair_confusion_matrix(labels_true, labels_pred) [source]
Pair confusion matrix arising from two clusterings. The pair confusion matrix \(C\) computes a 2 by 2 similarity matrix between two clusterings by considering all pairs of samples and counting pairs that are assigned into the same or int... | |
doc_23528 |
Alias for get_facecolor. | |
doc_23529 | Writes all the attributes of a key to the registry. key is an already open key, or one of the predefined HKEY_* constants. It is not necessary to call FlushKey() to change a key. Registry changes are flushed to disk by the registry using its lazy flusher. Registry changes are also flushed to disk at system shutdown. Un... | |
doc_23530 | Run the event loop until stop() is called. If stop() is called before run_forever() is called, the loop will poll the I/O selector once with a timeout of zero, run all callbacks scheduled in response to I/O events (and those that were already scheduled), and then exit. If stop() is called while run_forever() is running... | |
doc_23531 | sklearn.utils.graph_shortest_path.graph_shortest_path()
Perform a shortest-path graph search on a positive directed or undirected graph. Parameters
dist_matrixarraylike or sparse matrix, shape = (N,N)
Array of positive distances. If vertex i is connected to vertex j, then dist_matrix[i,j] gives the distance bet... | |
doc_23532 | The offset of the local (non-DST) timezone, in seconds west of UTC (negative in most of Western Europe, positive in the US, zero in the UK). See note below. | |
doc_23533 |
alias of matplotlib.backends.backend_agg.FigureCanvasAgg
classmatplotlib.backends.backend_agg.FigureCanvasAgg(figure=None)[source]
Bases: matplotlib.backend_bases.FigureCanvasBase buffer_rgba()[source]
Get the image as a memoryview to the renderer's buffer. draw must be called at least once before this func... | |
doc_23534 | See Migration guide for more details. tf.compat.v1.raw_ops.SparseCrossV2
tf.raw_ops.SparseCrossV2(
indices, values, shapes, dense_inputs, sep, name=None
)
The op takes two lists, one of 2D SparseTensor and one of 2D Tensor, each representing features of one feature column. It outputs a 2D SparseTensor with the b... | |
doc_23535 | See Migration guide for more details. tf.compat.v1.debugging.is_strictly_increasing, tf.compat.v1.is_strictly_increasing, tf.compat.v1.math.is_strictly_increasing
tf.math.is_strictly_increasing(
x, name=None
)
Elements of x are compared in row-major order. The tensor [x[0],...] is strictly increasing if for ever... | |
doc_23536 |
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_23537 |
Differentiate a Hermite series. Returns the Hermite series coefficients c differentiated m times along axis. At each iteration the result is multiplied by scl (the scaling factor is for use in a linear change of variable). The argument c is an array of coefficients from low to high degree along each axis, e.g., [1,2,... | |
doc_23538 |
Remove a callback based on its observer id. See also add_callback | |
doc_23539 |
Fit the model from data in X and transform X. Parameters
X{array-like, sparse graph, BallTree, KDTree}
Training vector, where n_samples in the number of samples and n_features is the number of features.
yIgnored
Returns
X_newarray-like, shape (n_samples, n_components) | |
doc_23540 | Call timeit() a few times. This is a convenience function that calls the timeit() repeatedly, returning a list of results. The first argument specifies how many times to call timeit(). The second argument specifies the number argument for timeit(). Note It’s tempting to calculate mean and standard deviation from the r... | |
doc_23541 | Wait for the child process to terminate. Set and return the returncode attribute. Note This method can deadlock when using stdout=PIPE or stderr=PIPE and the child process generates so much output that it blocks waiting for the OS pipe buffer to accept more data. Use the communicate() method when using pipes to avoid ... | |
doc_23542 |
Compute slice locations for input labels. Parameters
start:label, default None
If None, defaults to the beginning.
end:label, default None
If None, defaults to the end.
step:int, defaults None
If None, defaults to 1.
kind:{‘loc’, ‘getitem’} or None
Deprecated since version 1.4.0. Returns
sta... | |
doc_23543 | Unpacks and returns a fixed length opaque data stream, similarly to unpack_fstring(). | |
doc_23544 | Implement Netscape protocol. | |
doc_23545 | colorsys.rgb_to_yiq(r, g, b)
Convert the color from RGB coordinates to YIQ coordinates.
colorsys.yiq_to_rgb(y, i, q)
Convert the color from YIQ coordinates to RGB coordinates.
colorsys.rgb_to_hls(r, g, b)
Convert the color from RGB coordinates to HLS coordinates.
colorsys.hls_to_rgb(h, l, s)
Convert... | |
doc_23546 |
Perform a circular Hough transform. Parameters
image(M, N) ndarray
Input image with nonzero values representing edges.
radiusscalar or sequence of scalars
Radii at which to compute the Hough transform. Floats are converted to integers.
normalizeboolean, optional (default True)
Normalize the accumulator ... | |
doc_23547 | Return a datetime corresponding to a date_string in one of the formats emitted by date.isoformat() and datetime.isoformat(). Specifically, this function supports strings in the format: YYYY-MM-DD[*HH[:MM[:SS[.fff[fff]]]][+HH:MM[:SS[.ffffff]]]]
where * can match any single character. Caution This does not support pars... | |
doc_23548 | MultiPolygon objects may be instantiated by passing Polygon objects as arguments, or a single sequence of Polygon objects: >>> p1 = Polygon( ((0, 0), (0, 1), (1, 1), (0, 0)) )
>>> p2 = Polygon( ((1, 1), (1, 2), (2, 2), (1, 1)) )
>>> mp = MultiPolygon(p1, p2)
>>> mp = MultiPolygon([p1, p2]) | |
doc_23549 | The returned function prototype creates functions that use the standard C calling convention. The function will release the GIL during the call. If use_errno is set to true, the ctypes private copy of the system errno variable is exchanged with the real errno value before and after the call; use_last_error does the sam... | |
doc_23550 | Returns cosine similarity between x1 and x2, computed along dim. similarity=x1⋅x2max(∥x1∥2⋅∥x2∥2,ϵ)\text{similarity} = \dfrac{x_1 \cdot x_2}{\max(\Vert x_1 \Vert _2 \cdot \Vert x_2 \Vert _2, \epsilon)}
Parameters
x1 (Tensor) – First input.
x2 (Tensor) – Second input (of size matching x1).
dim (int, optional) ... | |
doc_23551 | tf.compat.v1.summary.text(
name, tensor, collections=None
)
Text data summarized via this plugin will be visible in the Text Dashboard in TensorBoard. The standard TensorBoard Text Dashboard will render markdown in the strings, and will automatically organize 1d and 2d tensors into tables. If a tensor with more th... | |
doc_23552 | See Migration guide for more details. tf.compat.v1.linalg.LinearOperatorInversion
tf.linalg.LinearOperatorInversion(
operator, is_non_singular=None, is_self_adjoint=None, is_positive_definite=None,
is_square=None, name=None
)
This operator represents the inverse of another operator. # Create a 2 x 2 linear o... | |
doc_23553 | The textual representation of the modified object’s primary key. | |
doc_23554 |
Get integer location, slice or boolean mask for requested label. Parameters
key:label
method:{None, ‘pad’/’ffill’, ‘backfill’/’bfill’, ‘nearest’}, optional
default: exact matches only. pad / ffill: find the PREVIOUS index value if no exact match. backfill / bfill: use NEXT index value if no exact match neare... | |
doc_23555 |
Bases: matplotlib.units.ConversionInterface Converter for datetime.date and datetime.datetime data, or for date/time data represented as it would be converted by date2num. The 'unit' tag for such data is None or a tzinfo instance. axisinfo(unit, axis)[source]
Return the AxisInfo for unit. unit is a tzinfo instanc... | |
doc_23556 | Returns the least int >= self. This method can also be accessed through the math.ceil() function. | |
doc_23557 | #cython: language_level=3
"""
This file shows how the to use a BitGenerator to create a distribution.
"""
import numpy as np
cimport numpy as np
cimport cython
from cpython.pycapsule cimport PyCapsule_IsValid, PyCapsule_GetPointer
from libc.stdint cimport uint16_t, uint64_t
from numpy.random cimport bitgen_t
from numpy... | |
doc_23558 | This constant is true if Python was not started with an -O option. See also the assert statement. | |
doc_23559 | See torch.logcumsumexp() | |
doc_23560 | class sklearn.manifold.TSNE(n_components=2, *, perplexity=30.0, early_exaggeration=12.0, learning_rate=200.0, n_iter=1000, n_iter_without_progress=300, min_grad_norm=1e-07, metric='euclidean', init='random', verbose=0, random_state=None, method='barnes_hut', angle=0.5, n_jobs=None, square_distances='legacy') [source]
... | |
doc_23561 | Create a decompressor object, which can be used to decompress data incrementally. For a more convenient way of decompressing an entire compressed stream at once, see decompress(). The format argument specifies the container format that should be used. The default is FORMAT_AUTO, which can decompress both .xz and .lzma ... | |
doc_23562 | See Migration guide for more details. tf.compat.v1.raw_ops.ParameterizedTruncatedNormal
tf.raw_ops.ParameterizedTruncatedNormal(
shape, means, stdevs, minvals, maxvals, seed=0, seed2=0, name=None
)
scalar which applies to the entire output, or a vector of length shape[0] which stores the parameters for each batc... | |
doc_23563 | exception zipfile.BadZipFile
The error raised for bad ZIP files. New in version 3.2.
exception zipfile.BadZipfile
Alias of BadZipFile, for compatibility with older Python versions. Deprecated since version 3.2.
exception zipfile.LargeZipFile
The error raised when a ZIP file would require ZIP64 functio... | |
doc_23564 | returns a linear interpolation to the given vector. lerp(Vector3, float) -> Vector3 Returns a Vector which is a linear interpolation between self and the given Vector. The second parameter determines how far between self an other the result is going to be. It must be a value between 0 and 1, where 0 means self and 1 ... | |
doc_23565 | sklearn.metrics.pairwise.manhattan_distances(X, Y=None, *, sum_over_features=True) [source]
Compute the L1 distances between the vectors in X and Y. With sum_over_features equal to False it returns the componentwise distances. Read more in the User Guide. Parameters
Xarray-like of shape (n_samples_X, n_features) ... | |
doc_23566 |
Compute the mean Silhouette Coefficient of all samples. The Silhouette Coefficient is calculated using the mean intra-cluster distance (a) and the mean nearest-cluster distance (b) for each sample. The Silhouette Coefficient for a sample is (b - a) / max(a,
b). To clarify, b is the distance between a sample and the n... | |
doc_23567 |
Alias for set_linestyle. | |
doc_23568 |
Bases: matplotlib.projections.geo._GeoTransform Create a new geographical transform. Resolution is the number of steps to interpolate between each input line segment to approximate its path in curved space. has_inverse=True
True if this transform has a corresponding inverse transform.
inverted()[source]
Ret... | |
doc_23569 | pyclbr.readmodule(module, path=None)
Return a dictionary mapping module-level class names to class descriptors. If possible, descriptors for imported base classes are included. Parameter module is a string with the name of the module to read; it may be the name of a module within a package. If given, path is a sequen... | |
doc_23570 | Handle an unraisable exception. Called when an exception has occurred but there is no way for Python to handle it. For example, when a destructor raises an exception or during garbage collection (gc.collect()). The unraisable argument has the following attributes:
exc_type: Exception type.
exc_value: Exception value... | |
doc_23571 | See Migration guide for more details. tf.compat.v1.raw_ops.ResourceScatterMax
tf.raw_ops.ResourceScatterMax(
resource, indices, updates, name=None
)
This operation computes # Scalar indices
ref[indices, ...] = max(ref[indices, ...], updates[...])
# Vector indices (for each i)
ref[indices[i], ...] = max(ref[indi... | |
doc_23572 |
Draw a collection of paths selecting drawing properties from the lists facecolors, edgecolors, linewidths, linestyles and antialiaseds. offsets is a list of offsets to apply to each of the paths. The offsets in offsets are first transformed by offsetTrans before being applied. offset_position is unused now, but the a... | |
doc_23573 | traceback.print_tb(tb, limit=None, file=None)
Print up to limit stack trace entries from traceback object tb (starting from the caller’s frame) if limit is positive. Otherwise, print the last abs(limit) entries. If limit is omitted or None, all entries are printed. If file is omitted or None, the output goes to sys.s... | |
doc_23574 | See Migration guide for more details. tf.compat.v1.raw_ops.OutfeedDequeueTupleV2
tf.raw_ops.OutfeedDequeueTupleV2(
device_ordinal, dtypes, shapes, name=None
)
tensor allowing dynamic outfeed. This operation will block indefinitely until data is available. Output i corresponds to XLA tuple element i. Args: device... | |
doc_23575 | See Migration guide for more details. tf.compat.v1.app.flags.DEFINE_multi
tf.compat.v1.flags.DEFINE_multi(
parser, serializer, name, default, help, flag_values=_flagvalues.FLAGS,
module_name=None, **args
)
Auxiliary function. Normal users should NOT use it directly. Developers who need to create their own 'P... | |
doc_23576 |
Bases: object Create a light source coming from the specified azimuth and elevation. Angles are in degrees, with the azimuth measured clockwise from north and elevation up from the zero plane of the surface. shade is used to produce "shaded" rgb values for a data array. shade_rgb can be used to combine an rgb image w... | |
doc_23577 | Schedule the closure of the default executor and wait for it to join all of the threads in the ThreadPoolExecutor. After calling this method, a RuntimeError will be raised if loop.run_in_executor() is called while using the default executor. Note that there is no need to call this function when asyncio.run() is used. ... | |
doc_23578 |
Fit the EllipticEnvelope model. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
Training data.
yIgnored
Not used, present for API consistency by convention. | |
doc_23579 | Optional. Either a method or attribute. If it’s a method, it should return the absolute path for a given object as returned by items(). If it’s an attribute, its value should be a string representing an absolute path to use for every object returned by items(). In both cases, “absolute path” means a URL that doesn’t in... | |
doc_23580 | If tzinfo is None, returns None, else returns self.tzinfo.utcoffset(self), and raises an exception if the latter doesn’t return None or a timedelta object with magnitude less than one day. Changed in version 3.7: The UTC offset is not restricted to a whole number of minutes. | |
doc_23581 | Prevents a TLSv1 connection. This option is only applicable in conjunction with PROTOCOL_TLS. It prevents the peers from choosing TLSv1 as the protocol version. New in version 3.2. Deprecated since version 3.7: The option is deprecated since OpenSSL 1.1.0, use the new SSLContext.minimum_version and SSLContext.maximu... | |
doc_23582 |
Return image after stretching or shrinking its intensity levels. The desired intensity range of the input and output, in_range and out_range respectively, are used to stretch or shrink the intensity range of the input image. See examples below. Parameters
imagearray
Image array.
in_range, out_rangestr or 2-tu... | |
doc_23583 | See Migration guide for more details. tf.compat.v1.debugging.disable_check_numerics
tf.debugging.disable_check_numerics()
This method can be used after a call to tf.debugging.enable_check_numerics() to disable the numerics-checking mechanism that catches infinity and NaN values output by ops executed eagerly or in t... | |
doc_23584 |
alias of matplotlib.backends.backend_tkagg.FigureCanvasTkAgg | |
doc_23585 |
Set the Figure instance the artist belongs to. Parameters
figFigure | |
doc_23586 |
Return self^value. | |
doc_23587 | class sklearn.tree.DecisionTreeClassifier(*, criterion='gini', splitter='best', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features=None, random_state=None, max_leaf_nodes=None, min_impurity_decrease=0.0, min_impurity_split=None, class_weight=None, ccp_alpha=0.0) [source]... | |
doc_23588 | Construct a URL from a tuple as returned by urlparse(). The parts argument can be any six-item iterable. This may result in a slightly different, but equivalent URL, if the URL that was parsed originally had unnecessary delimiters (for example, a ? with an empty query; the RFC states that these are equivalent). | |
doc_23589 |
Return date object with same year, month and day. | |
doc_23590 | Called when some data is received. data is a non-empty bytes object containing the incoming data. Whether the data is buffered, chunked or reassembled depends on the transport. In general, you shouldn’t rely on specific semantics and instead make your parsing generic and flexible. However, data is always received in th... | |
doc_23591 | Tries to locate the instance path if it was not provided to the constructor of the application class. It will basically calculate the path to a folder named instance next to your main file or the package. Changelog New in version 0.8. Return type
str | |
doc_23592 | Returns a 2-D tensor with ones on the diagonal and zeros elsewhere. Parameters
n (int) – the number of rows
m (int, optional) – the number of columns with default being n
Keyword Arguments
out (Tensor, optional) – the output tensor.
dtype (torch.dtype, optional) – the desired data type of returned tensor. D... | |
doc_23593 | Returns the inverse Transform of this transform. This should satisfy t.inv.inv is t. | |
doc_23594 | Return True if either the real or the imaginary part of x is an infinity, and False otherwise. | |
doc_23595 |
Set the facecolor(s) of the collection. c can be a color (all patches have same color), or a sequence of colors; if it is a sequence the patches will cycle through the sequence. If c is 'none', the patch will not be filled. Parameters
ccolor or list of colors | |
doc_23596 | start playing audio play(track, start=None, end=None) -> None Playback audio from an audio cdrom in the drive. Besides the track number argument, you can also pass a starting and ending time for playback. The start and end time are in seconds, and can limit the section of an audio track played. If you pass a start ti... | |
doc_23597 | Returns a tensor with the same shape as Tensor input filled with random integers generated uniformly between low (inclusive) and high (exclusive). Parameters
input (Tensor) – the size of input will determine size of the output tensor.
low (int, optional) – Lowest integer to be drawn from the distribution. Default:... | |
doc_23598 |
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_23599 | Segmentation fault: invalid memory reference. |
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