_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_2300 | class sklearn.model_selection.GroupKFold(n_splits=5) [source]
K-fold iterator variant with non-overlapping groups. The same group will not appear in two different folds (the number of distinct groups has to be at least equal to the number of folds). The folds are approximately balanced in the sense that the number of... | |
doc_2301 | See Migration guide for more details. tf.compat.v1.raw_ops.DenseCountSparseOutput
tf.raw_ops.DenseCountSparseOutput(
values, weights, binary_output, minlength=-1, maxlength=-1, name=None
)
Counts the number of times each value occurs in the input.
Args
values A Tensor. Must be one of the following types... | |
doc_2302 | Token value for "*=". | |
doc_2303 | Perform the lock operation operation on file descriptor fd (file objects providing a fileno() method are accepted as well). See the Unix manual flock(2) for details. (On some systems, this function is emulated using fcntl().) If the flock() fails, an OSError exception is raised. Raises an auditing event fcntl.flock wit... | |
doc_2304 |
Check if the interval is closed on the right side. For the meaning of closed and open see Interval. Returns
bool
True if the Interval is closed on the left-side. | |
doc_2305 | Return a list containing the tty attributes for file descriptor fd, as follows: [iflag, oflag, cflag, lflag, ispeed, ospeed, cc] where cc is a list of the tty special characters (each a string of length 1, except the items with indices VMIN and VTIME, which are integers when these fields are defined). The interpretatio... | |
doc_2306 |
Get a copy of the iterator as a 1-D array. Examples >>> x = np.arange(6).reshape(2, 3)
>>> x
array([[0, 1, 2],
[3, 4, 5]])
>>> fl = x.flat
>>> fl.copy()
array([0, 1, 2, 3, 4, 5]) | |
doc_2307 | By default, if an expected output block contains just 1, an actual output block containing just 1 or just True is considered to be a match, and similarly for 0 versus False. When DONT_ACCEPT_TRUE_FOR_1 is specified, neither substitution is allowed. The default behavior caters to that Python changed the return type of m... | |
doc_2308 | mu is the mean angle, expressed in radians between 0 and 2*pi, and kappa is the concentration parameter, which must be greater than or equal to zero. If kappa is equal to zero, this distribution reduces to a uniform random angle over the range 0 to 2*pi. | |
doc_2309 | Creates an index (B-Tree) in the database. | |
doc_2310 |
Collects the provided Future objects into a single combined Future that is completed when all of the sub-futures are completed. Parameters
futures (list) – a list of Future objects. Returns
Returns a Future object to a list of the passed in Futures. Example::
>>> import torch
>>>
>>> fut0 = torch.futures.Futu... | |
doc_2311 | Return a tuple in the form (etag, is_weak). If there is no ETag the return value is (None, None). Return type
Union[Tuple[str, bool], Tuple[None, None]] | |
doc_2312 |
Get the artist's bounding box in display space. The bounding box' width and height are nonnegative. Subclasses should override for inclusion in the bounding box "tight" calculation. Default is to return an empty bounding box at 0, 0. Be careful when using this function, the results will not update if the artist windo... | |
doc_2313 | Instantiate the bytes object str with the supplied parameters, where str should be a parameterized string obtained from the terminfo database. E.g. tparm(tigetstr("cup"), 5, 3) could result in b'\033[6;4H', the exact result depending on terminal type. | |
doc_2314 |
Learn and apply the dimensionality reduction. Parameters
Xarray-like of shape (n_samples, n_features)
Training samples.
yarray-like of shape (n_samples,) or (n_samples, n_targets), default=None
Targets. Returns
outarray-like or tuple of array-like
The transformed data X_tranformed if Y is not None, ... | |
doc_2315 |
Attributes
build_cost_model int64 build_cost_model
build_cost_model_after int64 build_cost_model_after
enable_bfloat16_sendrecv bool enable_bfloat16_sendrecv
enable_recv_scheduling bool enable_recv_scheduling
infer_shapes bool infer_shapes
optimizer_options OptimizerOptions optimi... | |
doc_2316 | set |= other | ...
Update the set, adding elements from all others. | |
doc_2317 | See Migration guide for more details. tf.compat.v1.keras.layers.experimental.preprocessing.RandomFlip
tf.keras.layers.experimental.preprocessing.RandomFlip(
mode=HORIZONTAL_AND_VERTICAL, seed=None, name=None, **kwargs
)
This layer will flip the images based on the mode attribute. During inference time, the outpu... | |
doc_2318 |
Bases: matplotlib.backend_tools.ToolBase Tool to toggle the major and minor grids of the figure. default_keymap=['G']
Keymap to associate with this tool. list[str]: List of keys that will trigger this tool when a keypress event is emitted on self.figure.canvas.
description='Toggle major and minor grids'
Des... | |
doc_2319 |
Make a non-blocking RPC call to run function func on worker to. RPC messages are sent and received in parallel to execution of Python code. This method is thread-safe. This method will immediately return a Future that can be awaited on. Parameters
to (str or WorkerInfo or int) – name/rank/WorkerInfo of the destin... | |
doc_2320 | See torch.addbmm() | |
doc_2321 |
Determine if the object instance is of a protected type. Objects of protected types are preserved as-is when passed to force_str(strings_only=True). | |
doc_2322 | Append line to the history buffer, as if it was the last line typed. This calls add_history() in the underlying library. | |
doc_2323 |
A compatibility alias for tobytes, with exactly the same behavior. Despite its name, it returns bytes not strs. Deprecated since version 1.19.0. | |
doc_2324 | class asynchat.async_chat
This class is an abstract subclass of asyncore.dispatcher. To make practical use of the code you must subclass async_chat, providing meaningful collect_incoming_data() and found_terminator() methods. The asyncore.dispatcher methods can be used, although not all make sense in a message/respon... | |
doc_2325 |
Repeat elements of an array. Refer to numpy.repeat for full documentation. See also numpy.repeat
equivalent function | |
doc_2326 |
Draw a Gouraud-shaded triangle. Parameters
gcGraphicsContextBase
The graphics context.
points(3, 2) array-like
Array of (x, y) points for the triangle.
colors(3, 4) array-like
RGBA colors for each point of the triangle.
transformmatplotlib.transforms.Transform
An affine transform to apply to the poi... | |
doc_2327 | Return the last recorded polygon. >>> turtle.home()
>>> turtle.begin_poly()
>>> turtle.fd(100)
>>> turtle.left(20)
>>> turtle.fd(30)
>>> turtle.left(60)
>>> turtle.fd(50)
>>> turtle.end_poly()
>>> p = turtle.get_poly()
>>> register_shape("myFavouriteShape", p) | |
doc_2328 | A dictionary mapping endpoint names to view functions. To register a view function, use the route() decorator. This data structure is internal. It should not be modified directly and its format may change at any time. | |
doc_2329 | tf.io.parse_single_example(
serialized, features, example_names=None, name=None
)
Similar to parse_example, except: For dense tensors, the returned Tensor is identical to the output of parse_example, except there is no batch dimension, the output shape is the same as the shape given in dense_shape. For SparseTenso... | |
doc_2330 |
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_2331 |
Set whether ticks are drawn inside or outside the axes. | |
doc_2332 | tf.shape(
input, out_type=tf.dtypes.int32, name=None
)
See also tf.size, tf.rank. tf.shape returns a 1-D integer tensor representing the shape of input. For a scalar input, the tensor returned has a shape of (0,) and its value is the empty vector (i.e. []). For example:
tf.shape(1.)
<tf.Tensor: shape=(0,), dtype=... | |
doc_2333 |
Return the transpose, which is by definition self. | |
doc_2334 |
Call self as a function. | |
doc_2335 | Create a color choosing dialog. A call to this method will show the window, wait for the user to make a selection, and return the selected color (or None) to the caller. | |
doc_2336 | tf.distribute.MultiWorkerMirroredStrategy(
cluster_resolver=None, communication_options=None
)
This strategy implements synchronous distributed training across multiple workers, each with potentially multiple GPUs. Similar to tf.distribute.MirroredStrategy, it replicates all variables and computations to each loca... | |
doc_2337 |
Applies a 1D convolution over a quantized 1D input composed of several input planes. See Conv1d for details and output shape. Parameters
input – quantized input tensor of shape (minibatch,in_channels,iW)(\text{minibatch} , \text{in\_channels} , iW)
weight – quantized filters of shape (out_channels,in_channelsg... | |
doc_2338 | Returns the log-transformed bounds on the theta. Returns
boundsndarray of shape (n_dims, 2)
The log-transformed bounds on the kernel’s hyperparameters theta | |
doc_2339 | Same as the non-lazy versions above, but using lazy execution. See lazy translations documentation. | |
doc_2340 |
Swap the bytes of the array elements Toggle between low-endian and big-endian data representation by returning a byteswapped array, optionally swapped in-place. Arrays of byte-strings are not swapped. The real and imaginary parts of a complex number are swapped individually. Parameters
inplacebool, optional
If ... | |
doc_2341 |
Copy properties from other to self. | |
doc_2342 | Raised when an operation is performed on a future that is not allowed in the current state. New in version 3.8. | |
doc_2343 |
Add a table to an Axes. At least one of cellText or cellColours must be specified. These parameters must be 2D lists, in which the outer lists define the rows and the inner list define the column values per row. Each row must have the same number of elements. The table can optionally have row and column headers, whic... | |
doc_2344 |
Set the offset of the lines used to mark each event. | |
doc_2345 | Given a Tensor quantized by linear (affine) per-channel quantization, returns a Tensor of scales of the underlying quantizer. It has the number of elements that matches the corresponding dimensions (from q_per_channel_axis) of the tensor. | |
doc_2346 |
Predict using the linear model. Parameters
Xarray-like or sparse matrix, shape (n_samples, n_features)
Samples. Returns
Carray, shape (n_samples,)
Returns predicted values. | |
doc_2347 |
Return the font style. Values are: 'normal', 'italic' or 'oblique'. | |
doc_2348 | Upon unpickling, if the class defines __setstate__(), it is called with the unpickled state. In that case, there is no requirement for the state object to be a dictionary. Otherwise, the pickled state must be a dictionary and its items are assigned to the new instance’s dictionary. Note If __getstate__() returns a fal... | |
doc_2349 | alias of ConvTranspose2d | |
doc_2350 | Return the protocol that was selected during the TLS handshake. If SSLContext.set_alpn_protocols() was not called, if the other party does not support ALPN, if this socket does not support any of the client’s proposed protocols, or if the handshake has not happened yet, None is returned. New in version 3.5. | |
doc_2351 |
Predict probability estimates. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
Returns
Y_probarray-like of shape (n_samples, n_classes) | |
doc_2352 | See Migration guide for more details. tf.compat.v1.raw_ops.PrefetchDataset
tf.raw_ops.PrefetchDataset(
input_dataset, buffer_size, output_types, output_shapes, slack_period=0,
legacy_autotune=True, buffer_size_min=0, name=None
)
Args
input_dataset A Tensor of type variant.
buffer_size A Tensor... | |
doc_2353 | @tf_contextlib.contextmanager
tf.compat.v1.op_scope(
values, name, default_name=None
) | |
doc_2354 |
Read an array from an NPY file. Parameters
fpfile_like object
If this is not a real file object, then this may take extra memory and time.
allow_picklebool, optional
Whether to allow writing pickled data. Default: False Changed in version 1.16.3: Made default False in response to CVE-2019-6446.
pickle_k... | |
doc_2355 |
Set the zorder for the artist. Artists with lower zorder values are drawn first. Parameters
levelfloat | |
doc_2356 |
Determine if each string entirely matches a regular expression. New in version 1.1.0. Parameters
pat:str
Character sequence or regular expression.
case:bool, default True
If True, case sensitive.
flags:int, default 0 (no flags)
Regex module flags, e.g. re.IGNORECASE.
na:scalar, optional
Fill value... | |
doc_2357 | See Migration guide for more details. tf.compat.v1.keras.datasets.boston_housing.load_data
tf.keras.datasets.boston_housing.load_data(
path='boston_housing.npz', test_split=0.2, seed=113
)
This is a dataset taken from the StatLib library which is maintained at Carnegie Mellon University. Samples contain 13 attri... | |
doc_2358 | This exception is raised on all errors, such as unknown number of bytes per sample, etc. | |
doc_2359 |
Recursively add files under data_path to data_files list. Recursively add files under data_path to the list of data_files to be installed (and distributed). The data_path can be either a relative path-name, or an absolute path-name, or a 2-tuple where the first argument shows where in the install directory the data d... | |
doc_2360 | See Migration guide for more details. tf.compat.v1.raw_ops.BatchIFFT2D
tf.raw_ops.BatchIFFT2D(
input, name=None
)
Args
input A Tensor of type complex64.
name A name for the operation (optional).
Returns A Tensor of type complex64. | |
doc_2361 | A page representing an individual object. If the object has a date value in the future, the view will throw a 404 error by default, unless you set allow_future to True. Ancestors (MRO) django.views.generic.detail.SingleObjectTemplateResponseMixin django.views.generic.base.TemplateResponseMixin django.views.generic.dat... | |
doc_2362 |
Return whether arbitrary affine transformations in draw_image() are supported (True for most vector backends). | |
doc_2363 |
Return the alpha value used for blending - not supported on all backends. | |
doc_2364 |
Performs a single optimization step. This will call torch.optim.Optimizer.step() on each worker containing parameters to be optimized, and will block until all workers return. The provided context_id will be used to retrieve the corresponding context that contains the gradients that should be applied to the parameter... | |
doc_2365 |
Returns a true division of the inputs, element-wise. Unlike ‘floor division’, true division adjusts the output type to present the best answer, regardless of input types. Parameters
x1array_like
Dividend array.
x2array_like
Divisor array. If x1.shape != x2.shape, they must be broadcastable to a common shape... | |
doc_2366 | See Migration guide for more details. tf.compat.v1.mlir.experimental.convert_graph_def
tf.mlir.experimental.convert_graph_def(
graph_def, pass_pipeline='tf-standard-pipeline'
)
This API is only intended for inspecting the internals of TensorFlow and the string returned is at the moment intended for debugging pur... | |
doc_2367 |
Get the artist's bounding box in display space. The bounding box' width and height are nonnegative. Subclasses should override for inclusion in the bounding box "tight" calculation. Default is to return an empty bounding box at 0, 0. Be careful when using this function, the results will not update if the artist windo... | |
doc_2368 | New in Django 4.0. The render method is called by __str__ as well as the as_p(), as_ul(), and as_table() methods. All arguments are optional and will default to:
template_name: template_name
context: Value returned by get_context()
renderer: Value returned by renderer | |
doc_2369 | Returns a URL string or bytes depending on the type of the information stored. This is just a convenience function for calling url_unparse() for this URL. Return type
str | |
doc_2370 |
Set memory fraction for a process. The fraction is used to limit an caching allocator to allocated memory on a CUDA device. The allowed value equals the total visible memory multiplied fraction. If trying to allocate more than the allowed value in a process, will raise an out of memory error in allocator. Parameters... | |
doc_2371 |
Return the minimum of the values over the requested axis. If you want the index of the minimum, use idxmin. This is the equivalent of the numpy.ndarray method argmin. Parameters
axis:{index (0), columns (1)}
Axis for the function to be applied on.
skipna:bool, default True
Exclude NA/null values when comput... | |
doc_2372 |
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_2373 |
Set the figure's background patch visibility, i.e. whether the figure background will be drawn. Equivalent to Figure.patch.set_visible(). Parameters
bbool | |
doc_2374 | tf.feature_column.make_parse_example_spec(
feature_columns
)
The returned dictionary can be used as arg 'features' in tf.io.parse_example. Typical usage example: # Define features and transformations
feature_a = tf.feature_column.categorical_column_with_vocabulary_file(...)
feature_b = tf.feature_column.numeric_co... | |
doc_2375 |
template_name: 'django/forms/widgets/select_date.html'
Wrapper around three Select widgets: one each for month, day, and year. Takes several optional arguments:
years
An optional list/tuple of years to use in the “year” select box. The default is a list containing the current year and the next 9 years.
mont... | |
doc_2376 | Set the flags specified by flags and unset all others. Parameter flags should be the concatenation in any order of zero or more occurrences of each of 'R', 'O', 'D', 'F', and 'A'. | |
doc_2377 | Like erase(), but also cause the whole window to be repainted upon next call to refresh(). | |
doc_2378 |
Return a view of the array with axis1 and axis2 interchanged. Refer to numpy.swapaxes for full documentation. See also numpy.swapaxes
equivalent function | |
doc_2379 | Pause the receiving end of the transport. No data will be passed to the protocol’s protocol.data_received() method until resume_reading() is called. Changed in version 3.7: The method is idempotent, i.e. it can be called when the transport is already paused or closed. | |
doc_2380 | os.O_RSYNC
os.O_SYNC
os.O_NDELAY
os.O_NONBLOCK
os.O_NOCTTY
os.O_CLOEXEC
The above constants are only available on Unix. Changed in version 3.3: Add O_CLOEXEC constant. | |
doc_2381 |
Predict probability for each possible outcome. Compute the probability estimates for each single sample in X and each possible outcome seen during training (categorical distribution). Parameters
Xarray-like of shape (n_samples, n_features)
The data matrix. Returns
probabilitiesndarray of shape (n_samples,... | |
doc_2382 | Accept: application/json
Might receive an error response indicating that the DELETE method is not allowed on that resource: HTTP/1.1 405 Method Not Allowed
Content-Type: application/json
Content-Length: 42
{"detail": "Method 'DELETE' not allowed."}
Validation errors are handled slightly differently, and will include... | |
doc_2383 | Return the symbol’s name. | |
doc_2384 | See torch.gather() | |
doc_2385 | nnn should be a three-digit HTTP error code. This method is also not defined in BaseHandler, but will be called, if it exists, on an instance of a subclass, when an HTTP error with code nnn occurs. Subclasses should override this method to handle specific HTTP errors. Arguments, return values and exceptions raised shou... | |
doc_2386 |
Return a list of CPU features that required to be detected sorted from the lowest to highest interest. | |
doc_2387 |
Alias for set_linestyle. | |
doc_2388 |
Return the cube-root of an array, element-wise. New in version 1.10.0. Parameters
xarray_like
The values whose cube-roots are required.
outndarray, None, or tuple of ndarray and None, optional
A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If no... | |
doc_2389 | See torch.isreal() | |
doc_2390 | Test whether filename matches pattern, returning True or False; the comparison is case-sensitive and does not apply os.path.normcase(). | |
doc_2391 |
Get the Path of the polygon. | |
doc_2392 | Returns selected language’s BiDi layout:
False = left-to-right layout
True = right-to-left layout | |
doc_2393 |
Return a new path resampled to length N x steps. Codes other than LINETO are not handled correctly. | |
doc_2394 | Reference pixel red into a 2d array. pixels_red (Surface) -> array Create a new 2D array that directly references the red values in a Surface. Any changes to the array will affect the pixels in the Surface. This is a fast operation since no data is copied. This can only work on 24-bit or 32-bit Surfaces. The Surface ... | |
doc_2395 | See Migration guide for more details. tf.compat.v1.diag_part, tf.compat.v1.linalg.tensor_diag_part
tf.linalg.tensor_diag_part(
input, name=None
)
This operation returns a tensor with the diagonal part of the input. The diagonal part is computed as follows: Assume input has dimensions [D1,..., Dk, D1,..., Dk], th... | |
doc_2396 |
Transform X using one-hot encoding. Parameters
Xarray-like, shape [n_samples, n_features]
The data to encode. Returns
X_outsparse matrix if sparse=True else a 2-d array
Transformed input. | |
doc_2397 | Dump the class data as a string in the format of a netrc file. (This discards comments and may reorder the entries.) | |
doc_2398 |
Get the artist's bounding box in display space. The bounding box' width and height are nonnegative. Subclasses should override for inclusion in the bounding box "tight" calculation. Default is to return an empty bounding box at 0, 0. Be careful when using this function, the results will not update if the artist windo... | |
doc_2399 | This method should be called from format() by a formatter which wants to make use of a formatted time. This method can be overridden in formatters to provide for any specific requirement, but the basic behavior is as follows: if datefmt (a string) is specified, it is used with time.strftime() to format the creation tim... |
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