_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_3800 |
Bases: matplotlib.patches.ArrowStyle._Curve An arrow with an outward square bracket at its end and a head at the start. Parameters
widthBfloat, default: 1.0
Width of the bracket.
lengthBfloat, default: 0.2
Length of the bracket.
angleBfloat, default: 0 degrees
Orientation of the bracket, as a counterclo... | |
doc_3801 |
Lasso model fit with Least Angle Regression a.k.a. Lars It is a Linear Model trained with an L1 prior as regularizer. The optimization objective for Lasso is: (1 / (2 * n_samples)) * ||y - Xw||^2_2 + alpha * ||w||_1
Read more in the User Guide. Parameters
alphafloat, default=1.0
Constant that multiplies the pe... | |
doc_3802 |
Find artist objects. Recursively find all Artist instances contained in the artist. Parameters
match
A filter criterion for the matches. This can be
None: Return all objects contained in artist. A function with signature def match(artist: Artist) -> bool. The result will only contain artists for which the funct... | |
doc_3803 |
Set the name of the axis for the index or columns. Parameters
mapper:scalar, list-like, optional
Value to set the axis name attribute.
index, columns:scalar, list-like, dict-like or function, optional
A scalar, list-like, dict-like or functions transformations to apply to that axis’ values. Note that the co... | |
doc_3804 | Similar to Widget.attrs. A dictionary containing HTML attributes to be set on the rendered DateInput and TimeInput widgets, respectively. If these attributes aren’t set, Widget.attrs is used instead. | |
doc_3805 | Transfers the callback stack to a fresh ExitStack instance and returns it. No callbacks are invoked by this operation - instead, they will now be invoked when the new stack is closed (either explicitly or implicitly at the end of a with statement). For example, a group of files can be opened as an “all or nothing” oper... | |
doc_3806 |
Call function producing a like-indexed DataFrame on each group and return a DataFrame having the same indexes as the original object filled with the transformed values. Parameters
f:function
Function to apply to each group. Can also accept a Numba JIT function with engine='numba' specified. If the 'numba' engin... | |
doc_3807 | Return a Document from the given input. filename_or_file may be either a file name, or a file-like object. parser, if given, must be a SAX2 parser object. This function will change the document handler of the parser and activate namespace support; other parser configuration (like setting an entity resolver) must have b... | |
doc_3808 | tf.compat.v1.resource_loader.get_path_to_datafile(
path
)
The path is relative to tensorflow/
Args
path a string resource path relative to tensorflow/
Returns The path to the specified file present in the data attribute of py_test or py_binary.
Raises
IOError If the path is not found... | |
doc_3809 |
Return whether image composition by Matplotlib should be skipped. Raster backends should usually return False (letting the C-level rasterizer take care of image composition); vector backends should usually return not rcParams["image.composite_image"]. | |
doc_3810 |
Applies Layer Normalization over a mini-batch of inputs as described in the paper Layer Normalization y=x−E[x]Var[x]+ϵ∗γ+βy = \frac{x - \mathrm{E}[x]}{ \sqrt{\mathrm{Var}[x] + \epsilon}} * \gamma + \beta
The mean and standard-deviation are calculated separately over the last certain number dimensions which have to... | |
doc_3811 | tf.keras.applications.efficientnet.EfficientNetB4 Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.EfficientNetB4, tf.compat.v1.keras.applications.efficientnet.EfficientNetB4
tf.keras.applications.EfficientNetB4(
include_top=True, weights='imagenet', input_tensor=... | |
doc_3812 | Represents an outgoing WSGI HTTP response with body, status, and headers. Has properties and methods for using the functionality defined by various HTTP specs. The response body is flexible to support different use cases. The simple form is passing bytes, or a string which will be encoded as UTF-8. Passing an iterable ... | |
doc_3813 | tf.keras.layers.GRU(
units, activation='tanh', recurrent_activation='sigmoid',
use_bias=True, kernel_initializer='glorot_uniform',
recurrent_initializer='orthogonal',
bias_initializer='zeros', kernel_regularizer=None,
recurrent_regularizer=None, bias_regularizer=None, activity_regularizer=None,
... | |
doc_3814 |
Draw samples from a binomial distribution. Samples are drawn from a binomial distribution with specified parameters, n trials and p probability of success where n an integer >= 0 and p is in the interval [0,1]. (n may be input as a float, but it is truncated to an integer in use) Note New code should use the binomia... | |
doc_3815 | Returns an iterator over module buffers. Parameters
recurse (bool) – if True, then yields buffers of this module and all submodules. Otherwise, yields only buffers that are direct members of this module. Yields
torch.Tensor – module buffer Example: >>> for buf in model.buffers():
>>> print(type(buf), buf.size... | |
doc_3816 |
Alias for set_linewidth. | |
doc_3817 | AxesGrid alias of mpl_toolkits.axisartist.axes_grid.ImageGrid
CbarAxes(*args, orientation, **kwargs) [Deprecated]
Grid(fig, rect, nrows_ncols[, ngrids, ...])
Parameters
ImageGrid(fig, rect, nrows_ncols[, ngrids, ...])
Parameters | |
doc_3818 | Only available on Windows. | |
doc_3819 | Returns the current setting for the given locale category as sequence containing language code, encoding. category may be one of the LC_* values except LC_ALL. It defaults to LC_CTYPE. Except for the code 'C', the language code corresponds to RFC 1766. language code and encoding may be None if their values cannot be de... | |
doc_3820 |
Iterate over DataFrame rows as namedtuples. Parameters
index:bool, default True
If True, return the index as the first element of the tuple.
name:str or None, default “Pandas”
The name of the returned namedtuples or None to return regular tuples. Returns
iterator
An object to iterate over namedtuples ... | |
doc_3821 |
Series.isnull is an alias for Series.isna. Detect missing values. Return a boolean same-sized object indicating if the values are NA. NA values, such as None or numpy.NaN, gets mapped to True values. Everything else gets mapped to False values. Characters such as empty strings '' or numpy.inf are not considered NA va... | |
doc_3822 |
Compute D^2, the percentage of deviance explained. D^2 is a generalization of the coefficient of determination R^2. R^2 uses squared error and D^2 deviance. Note that those two are equal for family='normal'. D^2 is defined as \(D^2 = 1-\frac{D(y_{true},y_{pred})}{D_{null}}\), \(D_{null}\) is the null deviance, i.e. t... | |
doc_3823 | Cancel the callback. If the callback has already been canceled or executed, this method has no effect. | |
doc_3824 | Add a codec that map characters in the given character set to and from Unicode. charset is the canonical name of a character set. codecname is the name of a Python codec, as appropriate for the second argument to the str’s encode() method. | |
doc_3825 | Display the exception that just occurred. We remove the first stack item because it is within the interpreter object implementation. The output is written by the write() method. Changed in version 3.5: The full chained traceback is displayed instead of just the primary traceback. | |
doc_3826 |
Print a concise summary of a Series. This method prints information about a Series including the index dtype, non-null values and memory usage. New in version 1.4.0. Parameters
data:Series
Series to print information about.
verbose:bool, optional
Whether to print the full summary. By default, the setting ... | |
doc_3827 | The StdButtonBox widget is a group of standard buttons for Motif-like dialog boxes. | |
doc_3828 |
The percent of non- fill_value points, as decimal. Examples
>>> s = SparseArray([0, 0, 1, 1, 1], fill_value=0)
>>> s.density
0.6 | |
doc_3829 | sklearn.utils.sparsefuncs.inplace_row_scale(X, scale) [source]
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... | |
doc_3830 |
Return the visibility. | |
doc_3831 | Casts all floating point parameters and buffers to bfloat16 datatype. Returns
self Return type
Module | |
doc_3832 |
Multi-block local binary pattern visualization. Blocks with higher sums are colored with alpha-blended white rectangles, whereas blocks with lower sums are colored alpha-blended cyan. Colors and the alpha parameter can be changed. Parameters
imagendarray of float or uint
Image on which to visualize the pattern.... | |
doc_3833 |
Fit the model from data in X. Parameters
Xarray-like of shape (n_samples, n_features)
Training vector, where n_samples in the number of samples and n_features is the number of features.
yIgnored
Returns
selfobject
Returns the object itself. | |
doc_3834 | This is a convenience function for invoking update_wrapper() as a function decorator when defining a wrapper function. It is equivalent to partial(update_wrapper, wrapped=wrapped, assigned=assigned, updated=updated). For example: >>> from functools import wraps
>>> def my_decorator(f):
... @wraps(f)
... def wra... | |
doc_3835 |
Calculate the rolling weighted window sum. Parameters
**kwargs
Keyword arguments to configure the SciPy weighted window type. Returns
Series or DataFrame
Return type is the same as the original object with np.float64 dtype. See also pandas.Series.rolling
Calling rolling with Series data. pandas.Data... | |
doc_3836 |
Draw a stacked area plot. An area plot displays quantitative data visually. This function wraps the matplotlib area function. Parameters
x:label or position, optional
Coordinates for the X axis. By default uses the index.
y:label or position, optional
Column to plot. By default uses all columns.
stacked:b... | |
doc_3837 | Windows only: Returns the last error code set by Windows in the calling thread. This function calls the Windows GetLastError() function directly, it does not return the ctypes-private copy of the error code. | |
doc_3838 |
Align the xlabels and ylabels of subplots with the same subplots row or column (respectively) if label alignment is being done automatically (i.e. the label position is not manually set). Alignment persists for draw events after this is called. Parameters
axslist of Axes
Optional list (or ndarray) of Axes to al... | |
doc_3839 |
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_3840 | tf.estimator.LinearClassifier(
feature_columns, model_dir=None, n_classes=2, weight_column=None,
label_vocabulary=None, optimizer='Ftrl', config=None,
warm_start_from=None,
loss_reduction=losses_utils.ReductionV2.SUM_OVER_BATCH_SIZE,
sparse_combiner='sum'
)
Train a linear model to classify instance... | |
doc_3841 |
Return each element rounded to the given number of decimals. Refer to numpy.around for full documentation. See also numpy.ndarray.round
corresponding function for ndarrays numpy.around
equivalent function | |
doc_3842 |
Compute the arithmetic mean along the specified axis. Returns the average of the array elements. The average is taken over the flattened array by default, otherwise over the specified axis. float64 intermediate and return values are used for integer inputs. Parameters
aarray_like
Array containing numbers whose ... | |
doc_3843 | Returns three values: the formatted version of object as a string, a flag indicating whether the result is readable, and a flag indicating whether recursion was detected. The first argument is the object to be presented. The second is a dictionary which contains the id() of objects that are part of the current presenta... | |
doc_3844 |
The ordinal day of the year. | |
doc_3845 | Set the blocking mode of the specified file descriptor. Set the O_NONBLOCK flag if blocking is False, clear the flag otherwise. See also get_blocking() and socket.socket.setblocking(). Availability: Unix. New in version 3.5. | |
doc_3846 | Formats a number val according to the current LC_NUMERIC setting. The format follows the conventions of the % operator. For floating point values, the decimal point is modified if appropriate. If grouping is true, also takes the grouping into account. If monetary is true, the conversion uses monetary thousands separato... | |
doc_3847 | winreg.OpenKeyEx(key, sub_key, reserved=0, access=KEY_READ)
Opens the specified key, returning a handle object. key is an already open key, or one of the predefined HKEY_* constants. sub_key is a string that identifies the sub_key to open. reserved is a reserved integer, and must be zero. The default is zero. access ... | |
doc_3848 |
Computes and returns the sum of gradients of outputs w.r.t. the inputs. grad_outputs should be a sequence of length matching output containing the “vector” in Jacobian-vector product, usually the pre-computed gradients w.r.t. each of the outputs. If an output doesn’t require_grad, then the gradient can be None). If o... | |
doc_3849 | In-place version of fmod() | |
doc_3850 | See Migration guide for more details. tf.compat.v1.manip.reshape, tf.compat.v1.reshape
tf.reshape(
tensor, shape, name=None
)
Given tensor, this operation returns a new tf.Tensor that has the same values as tensor in the same order, except with a new shape given by shape.
t1 = [[1, 2, 3],
[4, 5, 6]]
print... | |
doc_3851 | Return the subprocess process id as an integer. | |
doc_3852 | Parse XML data reading from the object file. file only needs to provide the read(nbytes) method, returning the empty string when there’s no more data. | |
doc_3853 | Return a string which specifies the terminal device associated with file descriptor fd. If fd is not associated with a terminal device, an exception is raised. Availability: Unix. | |
doc_3854 | Round towards Infinity. | |
doc_3855 | incrementaldecoder
Incremental encoder and decoder classes or factory functions. These have to provide the interface defined by the base classes IncrementalEncoder and IncrementalDecoder, respectively. Incremental codecs can maintain state. | |
doc_3856 | See Migration guide for more details. tf.compat.v1.data.experimental.get_single_element
tf.data.experimental.get_single_element(
dataset
)
This function enables you to use a tf.data.Dataset in a stateless "tensor-in tensor-out" expression, without creating an iterator. This can be useful when your preprocessing ... | |
doc_3857 | This method for the Stats class prints a list of all functions that called each function in the profiled database. The ordering is identical to that provided by print_stats(), and the definition of the restricting argument is also identical. Each caller is reported on its own line. The format differs slightly depending... | |
doc_3858 | A base view for updating an existing object instance. It is not intended to be used directly, but rather as a parent class of the django.views.generic.edit.UpdateView. Ancestors (MRO) This view inherits methods and attributes from the following views: django.views.generic.edit.ModelFormMixin django.views.generic.edit.... | |
doc_3859 |
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_3860 | Boolean. Designates whether this user can access the admin site. | |
doc_3861 | bytearray.center(width[, fillbyte])
Return a copy of the object centered in a sequence of length width. Padding is done using the specified fillbyte (default is an ASCII space). For bytes objects, the original sequence is returned if width is less than or equal to len(s). Note The bytearray version of this method do... | |
doc_3862 | tf.compat.v1.disable_resource_variables()
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: non-resource variables are not supported in the long term If your code needs tf.disable_resource_variables() to be called to work properly please file a bug. | |
doc_3863 |
Hyperbolic cosine, element-wise. Equivalent to 1/2 * (np.exp(x) + np.exp(-x)) and np.cos(1j*x). Parameters
xarray_like
Input array.
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 not prov... | |
doc_3864 | A list of the field names that will be prompted for when creating a user via the createsuperuser management command. The user will be prompted to supply a value for each of these fields. It must include any field for which blank is False or undefined and may include additional fields you want prompted for when a user i... | |
doc_3865 |
Transform X into a (weighted) graph of neighbors nearer than a radius The transformed data is a sparse graph as returned by radius_neighbors_graph. Read more in the User Guide. New in version 0.22. Parameters
mode{‘distance’, ‘connectivity’}, default=’distance’
Type of returned matrix: ‘connectivity’ will ret... | |
doc_3866 | tf.compat.v1.nn.quantized_conv2d(
input, filter, min_input, max_input, min_filter, max_filter, strides, padding,
out_type=tf.dtypes.qint32, dilations=[1, 1, 1, 1], name=None
)
The inputs are quantized tensors where the lowest value represents the real number of the associated minimum, and the highest represent... | |
doc_3867 | Construct a new directory comparison object, to compare the directories a and b. ignore is a list of names to ignore, and defaults to filecmp.DEFAULT_IGNORES. hide is a list of names to hide, and defaults to [os.curdir, os.pardir]. The dircmp class compares files by doing shallow comparisons as described for filecmp.cm... | |
doc_3868 |
Clear the Axes. | |
doc_3869 | If the maintype is multipart, raise a TypeError; otherwise look up a handler function based on the type of obj (see next paragraph), call clear_content() on the msg, and call the handler function, passing through all arguments. The expectation is that the handler will transform and store obj into msg, possibly making o... | |
doc_3870 | Sets the given header name to the given value. Both header and value should be strings. | |
doc_3871 | Returns True if x is infinite; otherwise returns False. | |
doc_3872 | True if the system is Android. | |
doc_3873 |
Determine whether y is monotonically correlated with x. y is found increasing or decreasing with respect to x based on a Spearman correlation test. Parameters
xarray-like of shape (n_samples,)
Training data.
yarray-like of shape (n_samples,)
Training target. Returns
increasing_boolboolean
Whether th... | |
doc_3874 | See Migration guide for more details. tf.compat.v1.raw_ops.SparseApplyProximalGradientDescent
tf.raw_ops.SparseApplyProximalGradientDescent(
var, alpha, l1, l2, grad, indices, use_locking=False, name=None
)
That is for rows we have grad for, we update var as follows: $$prox_v = var - alpha * grad$$ $$var = si... | |
doc_3875 | Write the bytes in bytes into memory at the current position of the file pointer and return the number of bytes written (never less than len(bytes), since if the write fails, a ValueError will be raised). The file position is updated to point after the bytes that were written. If the mmap was created with ACCESS_READ, ... | |
doc_3876 | Exception raised when a browser control error occurs. | |
doc_3877 |
Sends a tensor synchronously. Parameters
tensor (Tensor) – Tensor to send.
dst (int) – Destination rank.
group (ProcessGroup, optional) – The process group to work on. If None, the default process group will be used.
tag (int, optional) – Tag to match send with remote recv | |
doc_3878 | tupled integers of the SDL library version SDL = '(2, 0, 12)' This is the SDL library version represented as an extended tuple. It also has attributes 'major', 'minor' & 'patch' that can be accessed like this: >>> pygame.version.SDL.major
2 printing the whole thing returns a string like this: >>> pygame.version.SDL
S... | |
doc_3879 |
pygame module for loading and rendering fonts The font module allows for rendering TrueType fonts into a new Surface object. It accepts any UCS-2 character ('u0001' to 'uFFFF'). This module is optional and requires SDL_ttf as a dependency. You should test that pygame.font is available and initialized before attemp... | |
doc_3880 | The URL to redirect to after a successful password change. Defaults to 'password_change_done'. | |
doc_3881 | tkinter.simpledialog.askinteger(title, prompt, **kw)
tkinter.simpledialog.askstring(title, prompt, **kw)
The above three functions provide dialogs that prompt the user to enter a value of the desired type. | |
doc_3882 |
Reduces the tensor data on multiple GPUs across all machines. Each tensor in tensor_list should reside on a separate GPU Only the GPU of tensor_list[dst_tensor] on the process with rank dst is going to receive the final result. Only nccl backend is currently supported tensors should only be GPU tensors Parameters
... | |
doc_3883 |
Information about the memory layout of the array. Notes The flags object can be accessed dictionary-like (as in a.flags['WRITEABLE']), or by using lowercased attribute names (as in a.flags.writeable). Short flag names are only supported in dictionary access. Only the WRITEBACKIFCOPY, UPDATEIFCOPY, WRITEABLE, and ALIG... | |
doc_3884 | See Migration guide for more details. tf.compat.v1.feature_column.sequence_categorical_column_with_vocabulary_list
tf.feature_column.sequence_categorical_column_with_vocabulary_list(
key, vocabulary_list, dtype=None, default_value=-1, num_oov_buckets=0
)
Pass this to embedding_column or indicator_column to conve... | |
doc_3885 | autocomplete_fields is a list of ForeignKey and/or ManyToManyField fields you would like to change to Select2 autocomplete inputs. By default, the admin uses a select-box interface (<select>) for those fields. Sometimes you don’t want to incur the overhead of selecting all the related instances to display in the dropdo... | |
doc_3886 |
Set both the edgecolor and the facecolor. Parameters
ccolor or list of rgba tuples
See also
Collection.set_facecolor, Collection.set_edgecolor
For setting the edge or face color individually. | |
doc_3887 |
Return whether the artist is to be rasterized. | |
doc_3888 | Return the number of attributes. | |
doc_3889 | tf.math.special.bessel_i1 Compat aliases for migration See Migration guide for more details. tf.compat.v1.math.bessel_i1, tf.compat.v1.math.special.bessel_i1
tf.math.bessel_i1(
x, name=None
)
Modified Bessel function of order 1. It is preferable to use the numerically stabler function i1e(x) instead.
tf.math.sp... | |
doc_3890 |
template_name: 'django/forms/widgets/select.html'
option_template_name: 'django/forms/widgets/select_option.html'
Select widget with options ‘Unknown’, ‘Yes’ and ‘No’ | |
doc_3891 | Command that was used to spawn the child process. | |
doc_3892 | A legacy method for finding a loader for the specified module. Returns a 2-tuple of (loader, portion) where portion is a sequence of file system locations contributing to part of a namespace package. The loader may be None while specifying portion to signify the contribution of the file system locations to a namespace ... | |
doc_3893 | This is a low-level interface to the functionality of warn(), passing in explicitly the message, category, filename and line number, and optionally the module name and the registry (which should be the __warningregistry__ dictionary of the module). The module name defaults to the filename with .py stripped; if no regis... | |
doc_3894 | The epilogue attribute acts the same way as the preamble attribute, except that it contains text that appears between the last boundary and the end of the message. You do not need to set the epilogue to the empty string in order for the Generator to print a newline at the end of the file. | |
doc_3895 |
Returns the currently selected Stream for a given device. Parameters
device (torch.device or int, optional) – selected device. Returns the currently selected Stream for the current device, given by current_device(), if device is None (default). | |
doc_3896 |
Implements stochastic gradient descent (optionally with momentum). Nesterov momentum is based on the formula from On the importance of initialization and momentum in deep learning. Parameters
params (iterable) – iterable of parameters to optimize or dicts defining parameter groups
lr (float) – learning rate
mom... | |
doc_3897 | A readonly int that shows the number of plans currently in the cuFFT plan cache. | |
doc_3898 |
Set Index or MultiIndex name. Able to set new names partially and by level. Parameters
names:label or list of label or dict-like for MultiIndex
Name(s) to set. Changed in version 1.3.0.
level:int, label or list of int or label, optional
If the index is a MultiIndex and names is not dict-like, level(s) to ... | |
doc_3899 |
Return the color of the text. |
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