_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_16500 |
Return the memory usage of the Series. The memory usage can optionally include the contribution of the index and of elements of object dtype. Parameters
index:bool, default True
Specifies whether to include the memory usage of the Series index.
deep:bool, default False
If True, introspect the data deeply by... | |
doc_16501 | See Migration guide for more details. tf.compat.v1.tensor_scatter_nd_sub, tf.compat.v1.tensor_scatter_sub
tf.tensor_scatter_nd_sub(
tensor, indices, updates, name=None
)
This operation creates a new tensor by subtracting sparse updates from the passed in tensor. This operation is very similar to tf.scatter_nd_su... | |
doc_16502 | Load MIME type information from an open file fp. The file must have the format of the standard mime.types files. If strict is True, information will be added to the list of standard types, else to the list of non-standard types. | |
doc_16503 |
Produce a matrix that scales homogeneous coords in the specified ranges to [0, 1], or [0, pb_aspect[i]] if the plotbox aspect ratio is specified. | |
doc_16504 | See Migration guide for more details. tf.compat.v1.raw_ops.StaticRegexReplace
tf.raw_ops.StaticRegexReplace(
input, pattern, rewrite, replace_global=True, name=None
)
It follows the re2 syntax (https://github.com/google/re2/wiki/Syntax)
Args
input A Tensor of type string. The text to be processed.
p... | |
doc_16505 | See Migration guide for more details. tf.compat.v1.raw_ops.GreaterEqual
tf.raw_ops.GreaterEqual(
x, y, name=None
)
Note: math.greater_equal supports broadcasting. More about broadcasting here
Example: x = tf.constant([5, 4, 6, 7])
y = tf.constant([5, 2, 5, 10])
tf.math.greater_equal(x, y) ==> [True, True, True... | |
doc_16506 | Return the 8-bit character corresponding to the given ASCII character (the character bit value is bitwise-ored with 0x80). | |
doc_16507 | class sklearn.model_selection.GridSearchCV(estimator, param_grid, *, scoring=None, n_jobs=None, refit=True, cv=None, verbose=0, pre_dispatch='2*n_jobs', error_score=nan, return_train_score=False) [source]
Exhaustive search over specified parameter values for an estimator. Important members are fit, predict. GridSearc... | |
doc_16508 |
Check if given writer is available by name. Parameters
namestr
Returns
bool | |
doc_16509 | Return a list of command line arguments reproducing the current settings in sys.flags and sys.warnoptions. | |
doc_16510 |
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_16511 |
Variational Bayesian estimation of a Gaussian mixture. This class allows to infer an approximate posterior distribution over the parameters of a Gaussian mixture distribution. The effective number of components can be inferred from the data. This class implements two types of prior for the weights distribution: a fin... | |
doc_16512 |
Bases: skimage.viewer.plugins.overlayplugin.OverlayPlugin Canny filter plugin to show edges of an image.
__init__(*args, **kwargs) [source]
Initialize self. See help(type(self)) for accurate signature.
attach(image_viewer) [source]
Attach the plugin to an ImageViewer. Note that the ImageViewer will automati... | |
doc_16513 | See Migration guide for more details. tf.compat.v1.keras.datasets.imdb.get_word_index
tf.keras.datasets.imdb.get_word_index(
path='imdb_word_index.json'
)
Arguments
path where to cache the data (relative to ~/.keras/dataset).
Returns The word index dictionary. Keys are word strings, values are... | |
doc_16514 | Saves the form instance, sets the current object for the view, and redirects to get_success_url(). | |
doc_16515 | Format a stack trace and the exception information. The arguments have the same meaning as the corresponding arguments to print_exception(). The return value is a list of strings, each ending in a newline and some containing internal newlines. When these lines are concatenated and printed, exactly the same text is prin... | |
doc_16516 |
Applies a softmax function followed by logarithm. See softmax for more details. Parameters
input (Tensor) – input
dim (int) – A dimension along which softmax will be computed.
dtype (torch.dtype, optional) – the desired data type of returned tensor. If specified, the input tensor is casted to dtype before the o... | |
doc_16517 |
Return whether the artist is animated. | |
doc_16518 |
Return a fresh copy graph with the same data structure. A fresh copy has no nodes, edges or graph attributes. It is the same data structure as the current graph. This method is typically used to create an empty version of the graph. This is required when subclassing Graph with networkx v2 and does not cause problems ... | |
doc_16519 | Return True if the object is a data descriptor. Data descriptors have a __set__ or a __delete__ method. Examples are properties (defined in Python), getsets, and members. The latter two are defined in C and there are more specific tests available for those types, which is robust across Python implementations. Typically... | |
doc_16520 | Whether writes are passed immediately to the underlying binary buffer. New in version 3.7. | |
doc_16521 | This is a legacy API retained for backwards compatibility. When possible, you should use sni_callback instead. The given server_name_callback is similar to sni_callback, except that when the server hostname is an IDN-encoded internationalized domain name, the server_name_callback receives a decoded U-label ("pythön.org... | |
doc_16522 | See Migration guide for more details. tf.compat.v1.raw_ops.ExperimentalBytesProducedStatsDataset
tf.raw_ops.ExperimentalBytesProducedStatsDataset(
input_dataset, tag, output_types, output_shapes, name=None
)
Args
input_dataset A Tensor of type variant.
tag A Tensor of type string.
output_types... | |
doc_16523 | Characters that will be considered as escape. This will be only used in POSIX mode, and includes just '\' by default. | |
doc_16524 | set the bitmasks needed to convert between a color and a mapped integer set_masks((r,g,b,a)) -> None This is not needed for normal pygame usage. Note In SDL2, the masks are read-only and accordingly this method will raise an AttributeError if called. New in pygame 1.8.1. | |
doc_16525 | Decode the contents of the input file and write the resulting decoded binary data to the output file. input and output must be binary file objects. If the optional argument header is present and true, underscore will be decoded as space. This is used to decode “Q”-encoded headers as described in RFC 1522: “MIME (Multip... | |
doc_16526 | See Migration guide for more details. tf.compat.v1.keras.preprocessing.sequence.make_sampling_table
tf.keras.preprocessing.sequence.make_sampling_table(
size, sampling_factor=1e-05
)
Used for generating the sampling_table argument for skipgrams. sampling_table[i] is the probability of sampling the word i-th most... | |
doc_16527 |
Compute the Region Adjacency Graph using mean colors. Given an image and its initial segmentation, this method constructs the corresponding Region Adjacency Graph (RAG). Each node in the RAG represents a set of pixels within image with the same label in labels. The weight between two adjacent regions represents how s... | |
doc_16528 | Exit code that means that a protocol exchange was illegal, invalid, or not understood. Availability: Unix. | |
doc_16529 | Return True if the queue is full, False otherwise. If full() returns True it doesn’t guarantee that a subsequent call to get() will not block. Similarly, if full() returns False it doesn’t guarantee that a subsequent call to put() will not block. | |
doc_16530 | Set the instance’s debugging level. This controls the amount of debugging output printed. The default, 0, produces no debugging output. A value of 1 produces a moderate amount of debugging output, generally a single line per request. A value of 2 or higher produces the maximum amount of debugging output, logging each l... | |
doc_16531 | Owner has execute permission. | |
doc_16532 | the name of the itsdangerous supported key derivation. The default is hmac. | |
doc_16533 | Returns an iterator over the usable hosts in the network. The usable hosts are all the IP addresses that belong to the network, except the network address itself and the network broadcast address. For networks with a mask length of 31, the network address and network broadcast address are also included in the result. N... | |
doc_16534 |
Base object if memory is from some other object. Examples The base of an array that owns its memory is None: >>> x = np.array([1,2,3,4])
>>> x.base is None
True
Slicing creates a view, whose memory is shared with x: >>> y = x[2:]
>>> y.base is x
True | |
doc_16535 | A sequence of null-terminated strings, terminated by two null characters. (Python handles this termination automatically.) | |
doc_16536 |
The end user guide for installing Python packages
PEP 453: Explicit bootstrapping of pip in Python installations
The original rationale and specification for this module. Command line interface The command line interface is invoked using the interpreter’s -m switch. The simplest possible invocation is: python -m... | |
doc_16537 |
Create a dynamic quantized module from a float module or qparams_dict Parameters
mod (Module) – a float module, either produced by torch.quantization utilities or provided by the user | |
doc_16538 | Returns a random password with the given length and given string of allowed characters. Note that the default value of allowed_chars doesn’t contain letters that can cause user confusion, including:
i, l, I, and 1 (lowercase letter i, lowercase letter L, uppercase letter i, and the number one)
o, O, and 0 (lowercase... | |
doc_16539 |
Upsamples the input, using nearest neighbours’ pixel values. Warning This function is deprecated in favor of torch.nn.functional.interpolate(). This is equivalent with nn.functional.interpolate(..., mode='nearest'). Currently spatial and volumetric upsampling are supported (i.e. expected inputs are 4 or 5 dimension... | |
doc_16540 |
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_16541 |
Returns the indices of the minimum values along an axis. Parameters
aarray_like
Input array.
axisint, optional
By default, the index is into the flattened array, otherwise along the specified axis.
outarray, optional
If provided, the result will be inserted into this array. It should be of the appropria... | |
doc_16542 |
Tuple of bytes to step in each dimension when traversing an array. The byte offset of element (i[0], i[1], ..., i[n]) in an array a is: offset = sum(np.array(i) * a.strides)
A more detailed explanation of strides can be found in the “ndarray.rst” file in the NumPy reference guide. See also numpy.lib.stride_tricks.... | |
doc_16543 |
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_16544 | static bytearray.maketrans(from, to)
This static method returns a translation table usable for bytes.translate() that will map each character in from into the character at the same position in to; from and to must both be bytes-like objects and have the same length. New in version 3.1. | |
doc_16545 |
Wrapper around a CUDA stream. A CUDA stream is a linear sequence of execution that belongs to a specific device, independent from other streams. See CUDA semantics for details. Parameters
device (torch.device or int, optional) – a device on which to allocate the stream. If device is None (default) or a negative i... | |
doc_16546 |
Clear the Axes. | |
doc_16547 | sklearn.metrics.matthews_corrcoef(y_true, y_pred, *, sample_weight=None) [source]
Compute the Matthews correlation coefficient (MCC). The Matthews correlation coefficient is used in machine learning as a measure of the quality of binary and multiclass classifications. It takes into account true and false positives an... | |
doc_16548 | Return a string representing the date and time: >>> from datetime import datetime
>>> datetime(2002, 12, 4, 20, 30, 40).ctime()
'Wed Dec 4 20:30:40 2002'
The output string will not include time zone information, regardless of whether the input is aware or naive. d.ctime() is equivalent to: time.ctime(time.mktime(d.ti... | |
doc_16549 | operator.__abs__(obj)
Return the absolute value of obj. | |
doc_16550 |
Copy an element of an array to a standard Python scalar and return it. Parameters
*argsArguments (variable number and type)
none: in this case, the method only works for arrays with one element (a.size == 1), which element is copied into a standard Python scalar object and returned. int_type: this argument is ... | |
doc_16551 | get the a touch device id for a given index get_device(index) -> touchid
Parameters:
index (int) -- This number is at least 0 and less than the number of devices. Return an integer id associated with the given index. | |
doc_16552 | See Migration guide for more details. tf.compat.v1.raw_ops.TensorArray
tf.raw_ops.TensorArray(
size, dtype, dynamic_size=False, clear_after_read=True,
tensor_array_name='', element_shape=None, name=None
)
Args
size A Tensor of type int32.
dtype A tf.DType.
dynamic_size An optional bool. ... | |
doc_16553 | See Migration guide for more details. tf.compat.v1.app.flags.tf_decorator.tf_stack Classes class CurrentModuleFilter: Filters stack frames from the module where this is used (best effort). class FrameSummary class StackSummary class StackTraceFilter: Allows filtering traceback information by removing superfluous frame... | |
doc_16554 | In-place version of addr() | |
doc_16555 | Return a tensor of elements selected from either x or y, depending on condition. The operation is defined as: outi={xiif conditioniyiotherwise\text{out}_i = \begin{cases} \text{x}_i & \text{if } \text{condition}_i \\ \text{y}_i & \text{otherwise} \\ \end{cases}
Note The tensors condition, x, y must be broadcastable... | |
doc_16556 | The url template tag will use its value as the current_app argument to reverse(). | |
doc_16557 | Stores a range of floating point values. Based on a DecimalField. Represented by a numrange in the database and a NumericRange in Python. | |
doc_16558 | (Windows version) Maps length bytes from the file specified by the file handle fileno, and creates a mmap object. If length is larger than the current size of the file, the file is extended to contain length bytes. If length is 0, the maximum length of the map is the current size of the file, except that if the file is... | |
doc_16559 |
Add graph data to summary. Parameters
model (torch.nn.Module) – Model to draw.
input_to_model (torch.Tensor or list of torch.Tensor) – A variable or a tuple of variables to be fed.
verbose (bool) – Whether to print graph structure in console. | |
doc_16560 | Token value for "!=". | |
doc_16561 | Remove any parents. | |
doc_16562 | See Migration guide for more details. tf.compat.v1.sysconfig.get_include
tf.sysconfig.get_include()
Returns The directory as string. | |
doc_16563 | sklearn.metrics.pairwise.laplacian_kernel(X, Y=None, gamma=None) [source]
Compute the laplacian kernel between X and Y. The laplacian kernel is defined as: K(x, y) = exp(-gamma ||x-y||_1)
for each pair of rows x in X and y in Y. Read more in the User Guide. New in version 0.17. Parameters
Xndarray of shape (n_... | |
doc_16564 |
Return self>value. | |
doc_16565 |
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. | |
doc_16566 |
Setup for writing the movie file. Parameters
figFigure
The figure object that contains the information for frames.
outfilestr
The filename of the resulting movie file.
dpifloat, default: fig.dpi
The DPI (or resolution) for the file. This controls the size in pixels of the resulting movie file. | |
doc_16567 |
Swap level i with level j. Calling this method does not change the ordering of the values. Parameters
i:int, str, default -2
First level of index to be swapped. Can pass level name as string. Type of parameters can be mixed.
j:int, str, default -1
Second level of index to be swapped. Can pass level name as ... | |
doc_16568 | Returns whether the user is allowed to authenticate. To match the behavior of AuthenticationForm which prohibits inactive users from logging in, this method returns False for users with is_active=False. Custom user models that don’t have an is_active field are allowed. | |
doc_16569 |
Attributes
b repeated bool b
f repeated float f
func repeated NameAttrList func
i repeated int64 i
s repeated bytes s
shape repeated TensorShapeProto shape
tensor repeated TensorProto tensor
type repeated DataType type | |
doc_16570 |
Autoscale the scalar limits on the norm instance using the current array | |
doc_16571 |
Bases: object A reader for a dvi ("device-independent") file, as produced by TeX. The current implementation can only iterate through pages in order, and does not even attempt to verify the postamble. This class can be used as a context manager to close the underlying file upon exit. Pages can be read via iteration. ... | |
doc_16572 | Optional (blank=True). 150 characters or fewer. | |
doc_16573 |
Return whether y values increase from top to bottom. Note that this only affects drawing of texts and images. | |
doc_16574 |
Pseudo-Vandermonde matrix of given degrees. Returns the pseudo-Vandermonde matrix of degrees deg and sample points (x, y, z). If l, m, n are the given degrees in x, y, z, then The pseudo-Vandermonde matrix is defined by \[V[..., (m+1)(n+1)i + (n+1)j + k] = L_i(x)*L_j(y)*L_k(z),\] where 0 <= i <= l, 0 <= j <= m, and ... | |
doc_16575 | '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_16576 |
Add one Laguerre series to another. Returns the sum of two Laguerre series c1 + c2. The arguments are sequences of coefficients ordered from lowest order term to highest, i.e., [1,2,3] represents the series P_0 + 2*P_1 + 3*P_2. Parameters
c1, c2array_like
1-D arrays of Laguerre series coefficients ordered from ... | |
doc_16577 | Return an iterator yielding match objects over all non-overlapping matches for the RE pattern in string. The string is scanned left-to-right, and matches are returned in the order found. Empty matches are included in the result. Changed in version 3.7: Non-empty matches can now start just after a previous empty match. | |
doc_16578 |
This is an alias of random_sample. See random_sample for the complete documentation. | |
doc_16579 | Returns a view of the original tensor which contains all slices of size size from self tensor in the dimension dimension. Step between two slices is given by step. If sizedim is the size of dimension dimension for self, the size of dimension dimension in the returned tensor will be (sizedim - size) / step + 1. An addit... | |
doc_16580 | Overlay the window on top of destwin. The windows need not be the same size, only the overlapping region is copied. This copy is non-destructive, which means that the current background character does not overwrite the old contents of destwin. To get fine-grained control over the copied region, the second form of overl... | |
doc_16581 | Path to the user site-packages for the running Python. Can be None if getusersitepackages() hasn’t been called yet. Default value is ~/.local/lib/pythonX.Y/site-packages for UNIX and non-framework Mac OS X builds, ~/Library/Python/X.Y/lib/python/site-packages for Mac framework builds, and %APPDATA%\Python\PythonXY\site... | |
doc_16582 | The name of the function. | |
doc_16583 | Encodes the payload into quoted-printable form and sets the Content-Transfer-Encoding header to quoted-printable 1. This is a good encoding to use when most of your payload is normal printable data, but contains a few unprintable characters. | |
doc_16584 |
Return a function to preprocess the text before tokenization. Returns
preprocessor: callable
A function to preprocess the text before tokenization. | |
doc_16585 |
Returns True if any of the elements of a evaluate to True. Masked values are considered as False during computation. Refer to numpy.any for full documentation. See also numpy.ndarray.any
corresponding function for ndarrays numpy.any
equivalent function | |
doc_16586 |
Morphological Active Contours without Edges (MorphACWE) Active contours without edges implemented with morphological operators. It can be used to segment objects in images and volumes without well defined borders. It is required that the inside of the object looks different on average than the outside (i.e., the inne... | |
doc_16587 | See torch.svd() | |
doc_16588 |
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_16589 | Return a tuple in the form (app_iter, status, headers) of the application output. This works best if you pass it an application that returns an iterator all the time. Sometimes applications may use the write() callable returned by the start_response function. This tries to resolve such edge cases automatically. But if ... | |
doc_16590 |
Bases: object A base class of GridSpec that specifies the geometry of the grid that a subplot will be placed. Parameters
nrows, ncolsint
The number of rows and columns of the grid.
width_ratiosarray-like of length ncols, optional
Defines the relative widths of the columns. Each column gets a relative width ... | |
doc_16591 | See Migration guide for more details. tf.compat.v1.raw_ops.CollectiveBcastRecv
tf.raw_ops.CollectiveBcastRecv(
T, group_size, group_key, instance_key, shape,
communication_hint='auto', timeout_seconds=0, name=None
)
Args
T A tf.DType from: tf.bool, tf.float32, tf.half, tf.float64, tf.int32, tf.int64... | |
doc_16592 | tf.experimental.numpy.amax(
a, axis=None, keepdims=None
)
Unsupported arguments: out, initial, where. See the NumPy documentation for numpy.amax. | |
doc_16593 |
Add a sub-package to the current Configuration instance. This is useful in a setup.py script for adding sub-packages to a package. Parameters
subpackage_namestr
name of the subpackage
subpackage_pathstr
if given, the subpackage path such as the subpackage is in subpackage_path / subpackage_name. If None,the... | |
doc_16594 | See Migration guide for more details. tf.compat.v1.raw_ops.BesselK1e
tf.raw_ops.BesselK1e(
x, name=None
)
Args
x A Tensor. Must be one of the following types: bfloat16, half, float32, float64.
name A name for the operation (optional).
Returns A Tensor. Has the same type as x. | |
doc_16595 | Called for the start of every element. name is a string containing the element name, and attributes is the element attributes. If ordered_attributes is true, this is a list (see ordered_attributes for a full description). Otherwise it’s a dictionary mapping names to values. | |
doc_16596 |
Gets the properties of a device. Parameters
device (torch.device or int or str) – device for which to return the properties of the device. Returns
the properties of the device Return type
_CudaDeviceProperties | |
doc_16597 | See Migration guide for more details. tf.compat.v1.raw_ops.NonMaxSuppression
tf.raw_ops.NonMaxSuppression(
boxes, scores, max_output_size, iou_threshold=0.5, name=None
)
pruning away boxes that have high intersection-over-union (IOU) overlap with previously selected boxes. Bounding boxes are supplied as [y1, x1,... | |
doc_16598 |
The number of output dimensions of this transform. Must be overridden (with integers) in the subclass. | |
doc_16599 |
Perform round operation on the data to the specified freq. Parameters
freq:str or Offset
The frequency level to round the index to. Must be a fixed frequency like ‘S’ (second) not ‘ME’ (month end). See frequency aliases for a list of possible freq values.
ambiguous:‘infer’, bool-ndarray, ‘NaT’, default ‘raise... |
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