_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_1900 | See torch.matrix_power() | |
doc_1901 | Creates a new Decimal instance from num but using self as context. Unlike the Decimal constructor, the context precision, rounding method, flags, and traps are applied to the conversion. This is useful because constants are often given to a greater precision than is needed by the application. Another benefit is that ro... | |
doc_1902 |
Use an integral image to integrate over a given window. Parameters
iindarray
Integral image.
startList of tuples, each tuple of length equal to dimension of ii
Coordinates of top left corner of window(s). Each tuple in the list contains the starting row, col, … index i.e [(row_win1, col_win1, …), (row_win2,... | |
doc_1903 |
Return the ticks position ("left", "right", "default", or "unknown"). | |
doc_1904 |
Return the Transform instance mapping patch coordinates to data coordinates. For example, one may define a patch of a circle which represents a radius of 5 by providing coordinates for a unit circle, and a transform which scales the coordinates (the patch coordinate) by 5. | |
doc_1905 |
Haematoxylin-Eosin-DAB (HED) to RGB color space conversion. Parameters
hed(…, 3) array_like
The image in the HED color space. Final dimension denotes channels. Returns
out(…, 3) ndarray
The image in RGB. Same dimensions as input. Raises
ValueError
If hed is not at least 2-D with shape (…, 3). ... | |
doc_1906 |
Remove the artist from the figure if possible. The effect will not be visible until the figure is redrawn, e.g., with FigureCanvasBase.draw_idle. Call relim to update the axes limits if desired. Note: relim will not see collections even if the collection was added to the axes with autolim = True. Note: there is no su... | |
doc_1907 | See torch.count_nonzero() | |
doc_1908 | The error code used by ValidationError if validation fails. Defaults to "invalid". | |
doc_1909 |
Logistic Regression CV (aka logit, MaxEnt) classifier. See glossary entry for cross-validation estimator. This class implements logistic regression using liblinear, newton-cg, sag of lbfgs optimizer. The newton-cg, sag and lbfgs solvers support only L2 regularization with primal formulation. The liblinear solver supp... | |
doc_1910 | Creates the module object from the given specification in accordance with PEP 489. New in version 3.5. | |
doc_1911 | See Migration guide for more details. tf.compat.v1.keras.callbacks.LambdaCallback
tf.keras.callbacks.LambdaCallback(
on_epoch_begin=None, on_epoch_end=None, on_batch_begin=None, on_batch_end=None,
on_train_begin=None, on_train_end=None, **kwargs
)
This callback is constructed with anonymous functions that wi... | |
doc_1912 |
Return the offset as a tuple (x, y). The extent parameters have to be provided to handle the case where the offset is dynamically determined by a callable (see set_offset). Parameters
width, height, xdescent, ydescent
Extent parameters.
rendererRendererBase subclass | |
doc_1913 |
Returns the diagonal of the kernel k(X, X). The result of this method is identical to np.diag(self(X)); however, it can be evaluated more efficiently since only the diagonal is evaluated. Parameters
Xarray-like of shape (n_samples_X, n_features) or list of object
Argument to the kernel. Returns
K_diagndar... | |
doc_1914 | A tuple containing the five components of the version number: major, minor, micro, releaselevel, and serial. All values except releaselevel are integers; the release level is 'alpha', 'beta', 'candidate', or 'final'. The version_info value corresponding to the Python version 2.0 is (2, 0, 0, 'final', 0). The components... | |
doc_1915 |
Applies fn recursively to every submodule (as returned by .children()) as well as self. Typical use includes initializing the parameters of a model (see also torch.nn.init). Parameters
fn (Module -> None) – function to be applied to each submodule Returns
self Return type
Module Example: >>> @torch.no_grad()
... | |
doc_1916 | Return a new path with expanded ~ and ~user constructs, as returned by os.path.expanduser(): >>> p = PosixPath('~/films/Monty Python')
>>> p.expanduser()
PosixPath('/home/eric/films/Monty Python')
New in version 3.5. | |
doc_1917 |
Fit the model with X and apply the dimensionality reduction on X. Parameters
Xarray-like of shape (n_samples, n_features)
Training data, where n_samples is the number of samples and n_features is the number of features.
yIgnored
Returns
X_newndarray of shape (n_samples, n_components)
Transformed value... | |
doc_1918 |
Set if artist is to be included in layout calculations, E.g. Constrained Layout Guide, Figure.tight_layout(), and fig.savefig(fname, bbox_inches='tight'). Parameters
in_layoutbool | |
doc_1919 |
Return whether units are set on any axis. | |
doc_1920 |
Like Artist.get_window_extent, but includes any clipping. Parameters
rendererRendererBase subclass
renderer that will be used to draw the figures (i.e. fig.canvas.get_renderer()) Returns
Bbox
The enclosing bounding box (in figure pixel coordinates). | |
doc_1921 | Exception.with_traceback(tb) – set self.__traceback__ to tb and return self. | |
doc_1922 | tf.compat.v1.nn.rnn_cell.LSTMStateTuple(
c, h
)
Stores two elements: (c, h), in that order. Where c is the hidden state and h is the output. Only used when state_is_tuple=True.
Attributes
c
h
dtype | |
doc_1923 |
Reset the iterator to its initial state. | |
doc_1924 |
Bases: mpl_toolkits.axisartist.angle_helper.LocatorBase __call__(v1, v2)[source]
Call self as a function.
Examples using mpl_toolkits.axisartist.angle_helper.LocatorDMS
axis_direction demo
Curvilinear grid demo
floating_axis demo
Simple Axis Pad | |
doc_1925 | Convert the Reduced distance to the true distance. The reduced distance, defined for some metrics, is a computationally more efficient measure which preserves the rank of the true distance. For example, in the Euclidean distance metric, the reduced distance is the squared-euclidean distance. | |
doc_1926 | Instances are replaced with an appropriate value for Enum members. By default, the initial value starts at 1. | |
doc_1927 |
Return filter function to be used for agg filter. | |
doc_1928 | Broadcasts input to the shape shape. Equivalent to calling input.expand(shape). See expand() for details. Parameters
input (Tensor) – the input tensor.
shape (list, tuple, or torch.Size) – the new shape. Example: >>> x = torch.tensor([1, 2, 3])
>>> torch.broadcast_to(x, (3, 3))
tensor([[1, 2, 3],
[1, 2,... | |
doc_1929 | See Migration guide for more details. tf.compat.v1.raw_ops.DebugGradientRefIdentity
tf.raw_ops.DebugGradientRefIdentity(
input, name=None
)
This op is hidden from public in Python. It is used by TensorFlow Debugger to register gradient tensors for gradient debugging. This op operates on reference-type tensors.
... | |
doc_1930 | Return True if the file descriptors fp1 and fp2 refer to the same file. Availability: Unix, Windows. Changed in version 3.2: Added Windows support. Changed in version 3.6: Accepts a path-like object. | |
doc_1931 |
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_1932 |
Return the mean accuracy on the given test data and labels. In multi-label classification, this is the subset accuracy which is a harsh metric since you require for each sample that each label set be correctly predicted. Parameters
Xarray-like of shape (n_samples, n_features)
Test samples.
yarray-like of shap... | |
doc_1933 |
Access a group of rows and columns by label(s) or a boolean array. .loc[] is primarily label based, but may also be used with a boolean array. Allowed inputs are: A single label, e.g. 5 or 'a', (note that 5 is interpreted as a label of the index, and never as an integer position along the index). A list or array of ... | |
doc_1934 |
Return the index of the leaf that each sample is predicted as. New in version 0.17. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
The input samples. Internally, it will be converted to dtype=np.float32 and if a sparse matrix is provided to a sparse csr_matrix.
check_inputbool, def... | |
doc_1935 |
Alias for field number 1 | |
doc_1936 |
Scalar method identical to the corresponding array attribute. Please see ndarray.flatten. | |
doc_1937 | The character conventionally used by the operating system to separate search path components (as in PATH), such as ':' for POSIX or ';' for Windows. Also available via os.path. | |
doc_1938 |
Request a widget redraw once control returns to the GUI event loop. Even if multiple calls to draw_idle occur before control returns to the GUI event loop, the figure will only be rendered once. Notes Backends may choose to override the method and implement their own strategy to prevent multiple renderings. | |
doc_1939 |
A dictionary object including validation. Validating functions are defined and associated with rc parameters in matplotlib.rcsetup. The list of rcParams is: _internal.classic_mode agg.path.chunksize animation.bitrate animation.codec animation.convert_args animation.convert_path animation.embed_limit animation.ffmpeg... | |
doc_1940 | (default: 8) If expand_tabs is true, then all tab characters in text will be expanded to zero or more spaces, depending on the current column and the given tab size. New in version 3.3. | |
doc_1941 |
Set the marker edge color. Parameters
eccolor | |
doc_1942 | By default, this is set to False. When False, each value from the repeated fields is stored. When set to True, any trailing values which are blank will be stripped from the result. If the underlying field has required=True, but remove_trailing_nulls is True, then null values are only allowed at the end, and will be str... | |
doc_1943 | See Migration guide for more details. tf.compat.v1.math.polygamma, tf.compat.v1.polygamma
tf.math.polygamma(
a, x, name=None
)
The polygamma function is defined as: \(\psi^{(a)}(x) = \frac{d^a}{dx^a} \psi(x)\) where \(\psi(x)\) is the digamma function. The polygamma function is defined only for non-negative inte... | |
doc_1944 |
Return whether the artist is pickable. See also
set_picker, get_picker, pick | |
doc_1945 |
Return the offsets for the collection. | |
doc_1946 | When using CreateView you have access to self.object, which is the object being created. If the object hasn’t been created yet, the value will be None. | |
doc_1947 | See Migration guide for more details. tf.compat.v1.raw_ops.ScatterNd
tf.raw_ops.ScatterNd(
indices, updates, shape, name=None
)
Creates a new tensor by applying sparse updates to individual values or slices within a tensor (initially zero for numeric, empty for string) of the given shape according to indices. Th... | |
doc_1948 |
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_1949 |
Cumulative max for each group. Returns
Series or DataFrame
See also Series.groupby
Apply a function groupby to a Series. DataFrame.groupby
Apply a function groupby to each row or column of a DataFrame. | |
doc_1950 | Flush and close this stream. This method has no effect if the file is already closed. Once the file is closed, any operation on the file (e.g. reading or writing) will raise a ValueError. As a convenience, it is allowed to call this method more than once; only the first call, however, will have an effect. | |
doc_1951 |
Get parameters for this estimator. Returns the parameters given in the constructor as well as the estimators contained within the transformers of the ColumnTransformer. Parameters
deepbool, default=True
If True, will return the parameters for this estimator and contained subobjects that are estimators. Retur... | |
doc_1952 | Execute a code object. When an exception occurs, showtraceback() is called to display a traceback. All exceptions are caught except SystemExit, which is allowed to propagate. A note about KeyboardInterrupt: this exception may occur elsewhere in this code, and may not always be caught. The caller should be prepared to d... | |
doc_1953 | Type code C Type Python Type Minimum size in bytes Notes
'b' signed char int 1
'B' unsigned char int 1
'u' wchar_t Unicode character 2 (1)
'h' signed short int 2
'H' unsigned short int 2
'i' signed int int 2
'I' unsigned int int 2
'l' signed long int 4
'L' unsigned long int 4
'q' signed lon... | |
doc_1954 | Returns the matrix exponential. Supports batched input. For a matrix A, the matrix exponential is defined as eA=∑k=0∞Ak/k!\mathrm{e}^A = \sum_{k=0}^\infty A^k / k!
The implementation is based on: Bader, P.; Blanes, S.; Casas, F. Computing the Matrix Exponential with an Optimized Taylor Polynomial Approximation. Math... | |
doc_1955 | Toplevel widget of Tix which represents mostly the main window of an application. It has an associated Tcl interpreter. Classes in the tkinter.tix module subclasses the classes in the tkinter. The former imports the latter, so to use tkinter.tix with Tkinter, all you need to do is to import one module. In general, you ... | |
doc_1956 | Set to True when the execution of tests should stop by stop(). | |
doc_1957 |
alias of numpy.str_ | |
doc_1958 | Constructs a test suite that matches the test labels provided. test_labels is a list of strings describing the tests to be run. A test label can take one of four forms:
path.to.test_module.TestCase.test_method – Run a single test method in a test case.
path.to.test_module.TestCase – Run all the test methods in a tes... | |
doc_1959 | The request was not successfully authenticated, and the highest priority authentication class does not use WWW-Authenticate headers. — An HTTP 403 Forbidden response will be returned.
The request was not successfully authenticated, and the highest priority authentication class does use WWW-Authenticate headers. — An ... | |
doc_1960 |
A one-dimensional polynomial class. Note This forms part of the old polynomial API. Since version 1.4, the new polynomial API defined in numpy.polynomial is preferred. A summary of the differences can be found in the transition guide. A convenience class, used to encapsulate “natural” operations on polynomials so t... | |
doc_1961 | New in Django 4.0. Returns the context for rendering a formset in a template. The available context is:
formset : The instance of the formset. | |
doc_1962 | tf.nn.nce_loss(
weights, biases, labels, inputs, num_sampled, num_classes, num_true=1,
sampled_values=None, remove_accidental_hits=False, name='nce_loss'
)
See Noise-contrastive estimation: A new estimation principle for unnormalized statistical models. Also see our Candidate Sampling Algorithms Reference A co... | |
doc_1963 | Returns an instance of LoggerAdapter initialized with an underlying Logger instance and a dict-like object.
process(msg, kwargs)
Modifies the message and/or keyword arguments passed to a logging call in order to insert contextual information. This implementation takes the object passed as extra to the constructor a... | |
doc_1964 | Applies a 2D transposed convolution operator over an input image composed of several input planes, sometimes also called “deconvolution”. This operator supports TensorFloat32. See ConvTranspose2d for details and output shape. Note In some circumstances when given tensors on a CUDA device and using CuDNN, this operator... | |
doc_1965 | Slices the self tensor along the selected dimension at the given index. This function returns a view of the original tensor with the given dimension removed. Parameters
dim (int) – the dimension to slice
index (int) – the index to select with Note select() is equivalent to slicing. For example, tensor.select(0... | |
doc_1966 | Extract cookies from HTTP response and store them in the CookieJar, where allowed by policy. The CookieJar will look for allowable Set-Cookie and Set-Cookie2 headers in the response argument, and store cookies as appropriate (subject to the CookiePolicy.set_ok() method’s approval). The response object (usually the resu... | |
doc_1967 |
Bases: skimage.viewer.plugins.base.Plugin
__init__(maxdist=10, **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 automatically call this method when the plugin is added to the Ima... | |
doc_1968 | tf.metrics.SpecificityAtSensitivity Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.SpecificityAtSensitivity
tf.keras.metrics.SpecificityAtSensitivity(
sensitivity, num_thresholds=200, name=None, dtype=None
)
Sensitivity measures the proportion of actual positives th... | |
doc_1969 | See Migration guide for more details. tf.compat.v1.sets.set_union, tf.compat.v1.sets.union
tf.sets.union(
a, b, validate_indices=True
)
All but the last dimension of a and b must match. Example: import tensorflow as tf
import collections
# [[{1, 2}, {3}], [{4}, {5, 6}]]
a = collections.OrderedDict([
((0, 0,... | |
doc_1970 | See Migration guide for more details. tf.compat.v1.raw_ops.CudnnRNNCanonicalToParams
tf.raw_ops.CudnnRNNCanonicalToParams(
num_layers, num_units, input_size, weights, biases, rnn_mode='lstm',
input_mode='linear_input', direction='unidirectional',
dropout=0, seed=0, seed2=0, name=None
)
Writes a set of we... | |
doc_1971 |
Compute number of output features. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
The data.
yNone
Ignored. Returns
selfobject
Fitted transformer. | |
doc_1972 | Whether the OpenSSL library has built-in support for the TLS 1.3 protocol. New in version 3.7. | |
doc_1973 | This function causes the cgitb module to take over the interpreter’s default handling for exceptions by setting the value of sys.excepthook. The optional argument display defaults to 1 and can be set to 0 to suppress sending the traceback to the browser. If the argument logdir is present, the traceback reports are writ... | |
doc_1974 |
Bases: object __call__(renderer)[source]
Call self as a function. | |
doc_1975 | See Migration guide for more details. tf.compat.v1.raw_ops.ScatterMax
tf.raw_ops.ScatterMax(
ref, indices, updates, use_locking=False, name=None
)
This operation computes # Scalar indices
ref[indices, ...] = max(ref[indices, ...], updates[...])
# Vector indices (for each i)
ref[indices[i], ...] = max(ref[indice... | |
doc_1976 | The sort command is a variant of search with sorting semantics for the results. Returned data contains a space separated list of matching message numbers. Sort has two arguments before the search_criterion argument(s); a parenthesized list of sort_criteria, and the searching charset. Note that unlike search, the search... | |
doc_1977 | Compare this network to other. In this comparison only the network addresses are considered; host bits aren’t. Returns either -1, 0 or 1. >>> ip_network('192.0.2.1/32').compare_networks(ip_network('192.0.2.2/32'))
-1
>>> ip_network('192.0.2.1/32').compare_networks(ip_network('192.0.2.0/32'))
1
>>> ip_network('192.0.2.1... | |
doc_1978 |
Initialize QAppliction. The QApplication needs to be initialized before creating any QWidgets | |
doc_1979 | Raised when an operation or function receives an argument that has the right type but an inappropriate value, and the situation is not described by a more precise exception such as IndexError. | |
doc_1980 | Runs the application on a local development server. Do not use run() in a production setting. It is not intended to meet security and performance requirements for a production server. Instead, see Deployment Options for WSGI server recommendations. If the debug flag is set the server will automatically reload for code ... | |
doc_1981 |
Return the ZAxis (Axis) instance. | |
doc_1982 |
Return x with its trend removed. Parameters
xarray or sequence
Array or sequence containing the data.
key{'default', 'constant', 'mean', 'linear', 'none'} or function
The detrending algorithm to use. 'default', 'mean', and 'constant' are the same as detrend_mean. 'linear' is the same as detrend_linear. 'non... | |
doc_1983 | Write the buffers contents to file descriptor fd at a offset offset, leaving the file offset unchanged. buffers must be a sequence of bytes-like objects. Buffers are processed in array order. Entire contents of the first buffer is written before proceeding to the second, and so on. The flags argument contains a bitwise... | |
doc_1984 | Default widget: Select
Empty value: '' (an empty string) Normalizes to: A string. Validates that the selected choice exists in the list of choices. Error message keys: required, invalid_choice
The field allows choosing from files inside a certain directory. It takes five extra arguments; only path is required:
pa... | |
doc_1985 | set the mouse cursor to a system variant set_system_cursor(constant) -> None When the mouse cursor is visible, it will displayed as a operating system specific variant of the options below. Pygame Cursor Constant Description
--------------------------------------------
pygame.SYSTEM_CURSOR_ARROW arrow... | |
doc_1986 | See Migration guide for more details. tf.compat.v1.linalg.pinv
tf.linalg.pinv(
a, rcond=None, validate_args=False, name=None
)
Calculate the generalized inverse of a matrix using its singular-value decomposition (SVD) and including all large singular values. The pseudo-inverse of a matrix A, is defined as: 'the ... | |
doc_1987 | A hook for the initial data on admin change forms. By default, fields are given initial values from GET parameters. For instance, ?name=initial_value will set the name field’s initial value to be initial_value. This method should return a dictionary in the form {'fieldname': 'fieldval'}: def get_changeform_initial_data... | |
doc_1988 |
For each element in self, return a copy of the string with uppercase characters converted to lowercase and vice versa. See also char.swapcase | |
doc_1989 | Method representing the process’s activity. You may override this method in a subclass. The standard run() method invokes the callable object passed to the object’s constructor as the target argument, if any, with sequential and keyword arguments taken from the args and kwargs arguments, respectively. | |
doc_1990 | Return a new path object representing the user’s home directory (as returned by os.path.expanduser() with ~ construct): >>> Path.home()
PosixPath('/home/antoine')
New in version 3.5. | |
doc_1991 | Token value for ":". | |
doc_1992 | Set the current process’s effective user id. Availability: Unix. | |
doc_1993 |
Sets the value of the specified option. Available options: compute.[use_bottleneck, use_numba, use_numexpr] display.[chop_threshold, colheader_justify, column_space, date_dayfirst, date_yearfirst, encoding, expand_frame_repr, float_format] display.html.[border, table_schema, use_mathjax] display.[large_repr] display... | |
doc_1994 | See Migration guide for more details. tf.compat.v1.raw_ops.DatasetToGraphV2
tf.raw_ops.DatasetToGraphV2(
input_dataset, external_state_policy=0, strip_device_assignment=False, name=None
)
Returns a graph representation for input_dataset.
Args
input_dataset A Tensor of type variant. A variant tensor repr... | |
doc_1995 |
Bases: torch.distributions.transformed_distribution.TransformedDistribution Samples from a Gumbel Distribution. Examples: >>> m = Gumbel(torch.tensor([1.0]), torch.tensor([2.0]))
>>> m.sample() # sample from Gumbel distribution with loc=1, scale=2
tensor([ 1.0124])
Parameters
loc (float or Tensor) – Location pa... | |
doc_1996 | A string describing the specific codec error. | |
doc_1997 | tf.compat.v1.layers.Dropout(
rate=0.5, noise_shape=None, seed=None, name=None, **kwargs
)
Dropout consists in randomly setting a fraction rate of input units to 0 at each update during training time, which helps prevent overfitting. The units that are kept are scaled by 1 / (1 - rate), so that their sum is unchang... | |
doc_1998 |
Drop specified labels from rows or columns. Remove rows or columns by specifying label names and corresponding axis, or by specifying directly index or column names. When using a multi-index, labels on different levels can be removed by specifying the level. See the user guide <advanced.shown_levels> for more informa... | |
doc_1999 | tf.experimental.numpy.issubdtype(
arg1, arg2
)
Parameters arg1, arg2 : dtype_like dtype or string representing a typecode. Returns out : bool See Also issubsctype, issubclass_ numpy.core.numerictypes : Overview of numpy type hierarchy. Examples >>> np.issubdtype('S1', np.string_)
True
>>> np.issubdtype(np.float64,... |
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