_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
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doc_2500 | tf.compat.v1.train.sdca_fprint(
input, name=None
)
Args
input A Tensor of type string. vector of strings to compute fingerprints on.
name A name for the operation (optional).
Returns A Tensor of type int64. | |
doc_2501 | A transport for datagram (UDP) connections. Instances of the DatagramTransport class are returned from the loop.create_datagram_endpoint() event loop method. | |
doc_2502 |
Return the string representation of an array. Parameters
arrndarray
Input array.
max_line_widthint, optional
Inserts newlines if text is longer than max_line_width. Defaults to numpy.get_printoptions()['linewidth'].
precisionint, optional
Floating point precision. Defaults to numpy.get_printoptions()['p... | |
doc_2503 | Parses the lines argument. | |
doc_2504 | Return True if the queue is empty, False otherwise. | |
doc_2505 | See Migration guide for more details. tf.compat.v1.raw_ops.Cast
tf.raw_ops.Cast(
x, DstT, Truncate=False, name=None
)
Args
x A Tensor.
DstT A tf.DType.
Truncate An optional bool. Defaults to False.
name A name for the operation (optional).
Returns A Tensor of type DstT. | |
doc_2506 |
Attributes
attr repeated AttrEntry attr
name string name Child Classes class AttrEntry | |
doc_2507 | Raised when a given process doesn’t exist. Corresponds to errno ESRCH. | |
doc_2508 |
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_2509 | Save the file to a destination path or file object. If the destination is a file object you have to close it yourself after the call. The buffer size is the number of bytes held in memory during the copy process. It defaults to 16KB. For secure file saving also have a look at secure_filename(). Parameters
dst – a f... | |
doc_2510 | os.PRIO_PGRP
os.PRIO_USER
Parameters for the getpriority() and setpriority() functions. Availability: Unix. New in version 3.3. | |
doc_2511 | Returns the URL where the contents of the file referenced by name can be accessed. For storage systems that don’t support access by URL this will raise NotImplementedError instead. | |
doc_2512 | Receive normal data and ancillary data from the socket, behaving as recvmsg() would, but scatter the non-ancillary data into a series of buffers instead of returning a new bytes object. The buffers argument must be an iterable of objects that export writable buffers (e.g. bytearray objects); these will be filled with s... | |
doc_2513 |
alias of matplotlib.backends.backend_pdf.FigureCanvasPdf | |
doc_2514 | A deprecated alias of OSError. Changed in version 3.3: Following PEP 3151, this class was made an alias of OSError. | |
doc_2515 | See Migration guide for more details. tf.compat.v1.tensor_scatter_add, tf.compat.v1.tensor_scatter_nd_add
tf.tensor_scatter_nd_add(
tensor, indices, updates, name=None
)
This operation creates a new tensor by adding sparse updates to the passed in tensor. This operation is very similar to tf.scatter_nd_add, exce... | |
doc_2516 | tf.distribute.ReplicaContext(
strategy, replica_id_in_sync_group
)
You can use tf.distribute.get_replica_context to get an instance of ReplicaContext, which can only be called inside the function passed to tf.distribute.Strategy.run.
strategy = tf.distribute.MirroredStrategy(['GPU:0', 'GPU:1'])
def func():
repl... | |
doc_2517 |
Construct a Bbox by statically transforming this one by transform. | |
doc_2518 | This method can be called to signal that the set of tests being run should be aborted by setting the shouldStop attribute to True. TestRunner objects should respect this flag and return without running any additional tests. For example, this feature is used by the TextTestRunner class to stop the test framework when th... | |
doc_2519 |
Return the linewidth in points. See also set_linewidth. | |
doc_2520 | Version interface for Jython. Returns a tuple (release, vendor, vminfo, osinfo) with vminfo being a tuple (vm_name, vm_release, vm_vendor) and osinfo being a tuple (os_name, os_version, os_arch). Values which cannot be determined are set to the defaults given as parameters (which all default to ''). | |
doc_2521 |
Return the yaxis' tick locations in data coordinates. | |
doc_2522 | Run command with arguments and return its output. If the return code was non-zero it raises a CalledProcessError. The CalledProcessError object will have the return code in the returncode attribute and any output in the output attribute. This is equivalent to: run(..., check=True, stdout=PIPE).stdout
The arguments sho... | |
doc_2523 | '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_2524 | Read and return the next nframes frames from the audio file. The returned data is a string containing for each frame the uncompressed samples of all channels. | |
doc_2525 | The @overload decorator allows describing functions and methods that support multiple different combinations of argument types. A series of @overload-decorated definitions must be followed by exactly one non-@overload-decorated definition (for the same function/method). The @overload-decorated definitions are for the b... | |
doc_2526 | sklearn.utils.parallel_backend(backend, n_jobs=- 1, inner_max_num_threads=None, **backend_params) [source]
Change the default backend used by Parallel inside a with block. If backend is a string it must match a previously registered implementation using the register_parallel_backend function. By default the following... | |
doc_2527 |
Encode target labels with value between 0 and n_classes-1. This transformer should be used to encode target values, i.e. y, and not the input X. Read more in the User Guide. New in version 0.12. Attributes
classes_ndarray of shape (n_classes,)
Holds the label for each class. See also
OrdinalEncoder
E... | |
doc_2528 |
Initialize an Affine transform from a 3x3 numpy float array: a c e
b d f
0 0 1
If matrix is None, initialize with the identity transform. | |
doc_2529 |
Inplace row scaling of a CSR or CSC matrix. Scale each row of the data matrix by multiplying with specific scale provided by the caller assuming a (n_samples, n_features) shape. Parameters
Xsparse matrix of shape (n_samples, n_features)
Matrix to be scaled. It should be of CSR or CSC format.
scalendarray of s... | |
doc_2530 |
Scikit-image logo, a RGBA image. Returns
logo(500, 500, 4) uint8 ndarray
Logo image. | |
doc_2531 |
Compute the peak signal to noise ratio (PSNR) for an image. Parameters
image_truendarray
Ground-truth image, same shape as im_test.
image_testndarray
Test image.
data_rangeint, optional
The data range of the input image (distance between minimum and maximum possible values). By default, this is estimate... | |
doc_2532 |
Return the current hatching pattern. | |
doc_2533 | See Migration guide for more details. tf.compat.v1.linalg.svd, tf.compat.v1.svd
tf.linalg.svd(
tensor, full_matrices=False, compute_uv=True, name=None
)
Computes the SVD of each inner matrix in tensor such that tensor[..., :, :] = u[..., :, :] * diag(s[..., :, :]) * transpose(conj(v[..., :, :])) # a is a tensor.... | |
doc_2534 | Divides each element of the input input by the corresponding element of other. outi=inputiotheri\text{out}_i = \frac{\text{input}_i}{\text{other}_i}
Note By default, this performs a “true” division like Python 3. See the rounding_mode argument for floor division. Supports broadcasting to a common shape, type promo... | |
doc_2535 |
Test whether two objects contain the same elements. This function allows two Series or DataFrames to be compared against each other to see if they have the same shape and elements. NaNs in the same location are considered equal. The row/column index do not need to have the same type, as long as the values are conside... | |
doc_2536 | tf.experimental.numpy.hsplit(
ary, indices_or_sections
)
See the NumPy documentation for numpy.hsplit. | |
doc_2537 |
Casts a structured array to a new dtype using assignment by field-name. This function assigns from the old to the new array by name, so the value of a field in the output array is the value of the field with the same name in the source array. This has the effect of creating a new ndarray containing only the fields “r... | |
doc_2538 | In-place version of addcdiv() | |
doc_2539 | See Migration guide for more details. tf.compat.v1.raw_ops.Cosh
tf.raw_ops.Cosh(
x, name=None
)
Given an input tensor, this function computes hyperbolic cosine of every element in the tensor. Input range is [-inf, inf] and output range is [1, inf]. x = tf.constant([-float("inf"), -9, -0.5, 1, 1.2, 2, 10, float("... | |
doc_2540 | Return a file object associated with the socket. The exact returned type depends on the arguments given to makefile(). These arguments are interpreted the same way as by the built-in open() function, except the only supported mode values are 'r' (default), 'w' and 'b'. The socket must be in blocking mode; it can have a... | |
doc_2541 | The get_search_fields method is given the HttpRequest and is expected to return the same kind of sequence type as for the search_fields attribute. | |
doc_2542 | Return a view object, by calling MSIDatabaseOpenView(). sql is the SQL statement to execute. | |
doc_2543 | The method attempts to write the data to the underlying socket immediately. If that fails, the data is queued in an internal write buffer until it can be sent. The method should be used along with the drain() method: stream.write(data)
await stream.drain() | |
doc_2544 | temporarily stop audio playback pause() -> None Temporarily stop audio playback on the CD. The playback can be resumed at the same point with the CD.resume() method. If the CD is not playing this method does nothing. Note, track 0 is the first track on the CD. Track numbers start at zero. | |
doc_2545 | tf.compat.v1.keras.layers.GRU(
units, activation='tanh',
recurrent_activation='hard_sigmoid', use_bias=True,
kernel_initializer='glorot_uniform',
recurrent_initializer='orthogonal',
bias_initializer='zeros', kernel_regularizer=None,
recurrent_regularizer=None, bias_regularizer=None, activity_reg... | |
doc_2546 |
Set the dimension of the drawing canvas. | |
doc_2547 | Flushes changes made to the in-memory copy of a file back to disk. Without use of this call there is no guarantee that changes are written back before the object is destroyed. If offset and size are specified, only changes to the given range of bytes will be flushed to disk; otherwise, the whole extent of the mapping i... | |
doc_2548 | Render text into an array of ints render_raw_to(array, text, dest=None, style=STYLE_DEFAULT, rotation=0, size=0, invert=False) -> Rect Render to an array object exposing an array struct interface. The array must be two dimensional with integer items. The default dest value, None, is equivalent to position (0, 0). See... | |
doc_2549 |
Alias for get_fontproperties. | |
doc_2550 |
Return the Colormap instance. | |
doc_2551 |
Return a format string formatting the x, y coordinates. | |
doc_2552 |
Estimate the best class label for each sample in X. This is implemented as argmax(decision_function(X), axis=1) which will return the label of the class with most votes by estimators predicting the outcome of a decision for each possible class pair. Parameters
X(sparse) array-like of shape (n_samples, n_features)... | |
doc_2553 | Like rfind() but raises ValueError when the substring sub is not found. | |
doc_2554 |
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_2555 |
Return the underlying artist that actually defines some properties (e.g., color) of this artist. | |
doc_2556 |
Determine common type following standard coercion rules. Parameters
array_typessequence
A list of dtypes or dtype convertible objects representing arrays.
scalar_typessequence
A list of dtypes or dtype convertible objects representing scalars. Returns
datatypedtype
The common data type, which is the... | |
doc_2557 | See Migration guide for more details. tf.compat.v1.raw_ops.CudnnRNNV3
tf.raw_ops.CudnnRNNV3(
input, input_h, input_c, params, sequence_lengths, rnn_mode='lstm',
input_mode='linear_input', direction='unidirectional',
dropout=0, seed=0, seed2=0, num_proj=0, is_training=True, time_major=True,
name=None
)... | |
doc_2558 | Return _testcapi.WITH_PYMALLOC. | |
doc_2559 | See Migration guide for more details. tf.compat.v1.keras.preprocessing.image.random_brightness
tf.keras.preprocessing.image.random_brightness(
x, brightness_range
)
Arguments
x Input tensor. Must be 3D.
brightness_range Tuple of floats; brightness range.
channel_axis Index of axis for channe... | |
doc_2560 | sklearn.datasets.make_regression(n_samples=100, n_features=100, *, n_informative=10, n_targets=1, bias=0.0, effective_rank=None, tail_strength=0.5, noise=0.0, shuffle=True, coef=False, random_state=None) [source]
Generate a random regression problem. The input set can either be well conditioned (by default) or have a... | |
doc_2561 | Token value for "...". | |
doc_2562 | See Migration guide for more details. tf.compat.v1.raw_ops.PaddedBatchDataset
tf.raw_ops.PaddedBatchDataset(
input_dataset, batch_size, padded_shapes, padding_values, output_shapes,
name=None
)
Args
input_dataset A Tensor of type variant.
batch_size A Tensor of type int64. A scalar representin... | |
doc_2563 |
Parameters
urlslist of str or None
Notes URLs are currently only implemented by the SVG backend. They are ignored by all other backends. | |
doc_2564 |
Toggle zoom to rect mode. | |
doc_2565 | Holds a string containing the address identified in the “MAIL FROM:” line from the client. | |
doc_2566 |
Return the (min, max) view limits of this axis. | |
doc_2567 |
Subtract self from other, and return a new masked array. | |
doc_2568 |
Calculate the expanding standard deviation. Parameters
ddof:int, default 1
Delta Degrees of Freedom. The divisor used in calculations is N - ddof, where N represents the number of elements. *args
For NumPy compatibility and will not have an effect on the result.
engine:str, default None
'cython' : Runs t... | |
doc_2569 |
Tuple of bytes steps in each dimension. | |
doc_2570 |
Set the DataFrame of strings on Styler generating :hover tooltips. These string based tooltips are only applicable to <td> HTML elements, and cannot be used for column or index headers. New in version 1.3.0. Parameters
ttips:DataFrame
DataFrame containing strings that will be translated to tooltips, mapped by... | |
doc_2571 |
Removes the pruning reparameterization from a module. The pruned parameter named name remains permanently pruned, and the parameter named name+'_orig' is removed from the parameter list. Similarly, the buffer named name+'_mask' is removed from the buffers. Note Pruning itself is NOT undone or reversed! | |
doc_2572 | See Migration guide for more details. tf.compat.v1.raw_ops.AnonymousSeedGenerator
tf.raw_ops.AnonymousSeedGenerator(
seed, seed2, reshuffle, name=None
)
Args
seed A Tensor of type int64.
seed2 A Tensor of type int64.
reshuffle A Tensor of type bool.
name A name for the operation (optio... | |
doc_2573 |
Return the url. | |
doc_2574 | See Migration guide for more details. tf.compat.v1.sysconfig.get_build_info
tf.sysconfig.get_build_info()
Values are generated when TensorFlow is compiled, and are static for each TensorFlow package. The return value is a dictionary with string keys such as: cuda_version cudnn_version is_cuda_build is_rocm_build ms... | |
doc_2575 |
Add a Container to the axes' containers; return the container. | |
doc_2576 |
Learn a list of feature name -> indices mappings and transform X. Like fit(X) followed by transform(X), but does not require materializing X in memory. Parameters
XMapping or iterable over Mappings
Dict(s) or Mapping(s) from feature names (arbitrary Python objects) to feature values (strings or convertible to d... | |
doc_2577 | Returns the message for this LogRecord instance after merging any user-supplied arguments with the message. If the user-supplied message argument to the logging call is not a string, str() is called on it to convert it to a string. This allows use of user-defined classes as messages, whose __str__ method can return the... | |
doc_2578 | Similar to the parse() method, except it takes a bytes-like object instead of a file-like object. Calling this method on a bytes-like object is equivalent to wrapping bytes in a BytesIO instance first and calling parse(). Optional headersonly is as with the parse() method. | |
doc_2579 | If flag is True, escape sequences generated by some keys (keypad, function keys) will be interpreted by curses. If flag is False, escape sequences will be left as is in the input stream. | |
doc_2580 |
Return the x-axis view limits. Returns
left, right(float, float)
The current x-axis limits in data coordinates. See also set_xlim
set_xbound, get_xbound
invert_xaxis, xaxis_inverted
Notes The x-axis may be inverted, in which case the left value will be greater than the right value.
Examples using... | |
doc_2581 |
Remove o from the stack. Raises
ValueError
If o is not in the stack. | |
doc_2582 | Return x raised to the power y. Exceptional cases follow Annex ‘F’ of the C99 standard as far as possible. In particular, pow(1.0, x) and pow(x, 0.0) always return 1.0, even when x is a zero or a NaN. If both x and y are finite, x is negative, and y is not an integer then pow(x, y) is undefined, and raises ValueError. ... | |
doc_2583 |
Sparse coding Finds a sparse representation of data against a fixed, precomputed dictionary. Each row of the result is the solution to a sparse coding problem. The goal is to find a sparse array code such that: X ~= code * dictionary
Read more in the User Guide. Parameters
dictionaryndarray of shape (n_component... | |
doc_2584 | See Migration guide for more details. tf.compat.v1.app.flags.CantOpenFlagFileError E.g. the file doesn't exist, or has wrong permissions. | |
doc_2585 | Safely join zero or more untrusted path components to a base directory to avoid escaping the base directory. Parameters
directory (str) – The trusted base directory.
pathnames (str) – The untrusted path components relative to the base directory. Returns
A safe path, otherwise None. Return type
str | |
doc_2586 |
Expand the shape of an array. Insert a new axis that will appear at the axis position in the expanded array shape. Parameters
aarray_like
Input array.
axisint or tuple of ints
Position in the expanded axes where the new axis (or axes) is placed. Deprecated since version 1.13.0: Passing an axis where axis >... | |
doc_2587 | Return an iterator over all of the immediate sub-parts of the message that are not candidate “body” parts. That is, skip the first occurrence of each of text/plain, text/html, multipart/related, or multipart/alternative (unless they are explicitly marked as attachments via Content-Disposition: attachment), and return a... | |
doc_2588 |
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_2589 | See Migration guide for more details. tf.compat.v1.raw_ops.MatrixSetDiag
tf.raw_ops.MatrixSetDiag(
input, diagonal, name=None
)
Given input and diagonal, this operation returns a tensor with the same shape and values as input, except for the main diagonal of the innermost matrices. These will be overwritten by t... | |
doc_2590 |
Alias for get_facecolor. | |
doc_2591 |
Add an Axes to the figure as part of a subplot arrangement. Call signatures: add_subplot(nrows, ncols, index, **kwargs)
add_subplot(pos, **kwargs)
add_subplot(ax)
add_subplot()
Parameters
*argsint, (int, int, index), or SubplotSpec, default: (1, 1, 1)
The position of the subplot described by one of Three inte... | |
doc_2592 | Returns whether the kernel is stationary. | |
doc_2593 | When shlex detects a source request (see source below) this method is given the following token as argument, and expected to return a tuple consisting of a filename and an open file-like object. Normally, this method first strips any quotes off the argument. If the result is an absolute pathname, or there was no previo... | |
doc_2594 |
A torch.nn.ConvTranspose3d module with lazy initialization of the in_channels argument of the ConvTranspose3d that is inferred from the input.size(1). Parameters
out_channels (int) – Number of channels produced by the convolution
kernel_size (int or tuple) – Size of the convolving kernel
stride (int or tuple, o... | |
doc_2595 |
Shrink font size until the text fits into the cell width. | |
doc_2596 | if self.request.version == 'v1':
return AccountSerializerVersion1
return AccountSerializer
Reversing URLs for versioned APIs The reverse function included by REST framework ties in with the versioning scheme. You need to make sure to include the current request as a keyword argument, like so. from rest... | |
doc_2597 | Returns a tensor filled with random numbers from a uniform distribution on the interval [0,1)[0, 1) The shape of the tensor is defined by the variable argument size. Parameters
size (int...) – a sequence of integers defining the shape of the output tensor. Can be a variable number of arguments or a collection like a... | |
doc_2598 |
Change the appearance of ticks, tick labels, and gridlines. Tick properties that are not explicitly set using the keyword arguments remain unchanged unless reset is True. Parameters
axis{'x', 'y', 'both'}, default: 'both'
The axis to which the parameters are applied.
which{'major', 'minor', 'both'}, default: ... | |
doc_2599 |
Test whether any array element along a given axis evaluates to True. Returns single boolean unless axis is not None Parameters
aarray_like
Input array or object that can be converted to an array.
axisNone or int or tuple of ints, optional
Axis or axes along which a logical OR reduction is performed. The def... |
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