_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
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|---|---|---|
doc_3700 | tf.compat.v1.metrics.sparse_precision_at_k(
labels, predictions, k, class_id=None, weights=None, metrics_collections=None,
updates_collections=None, name=None
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use precision_at_k instead | |
doc_3701 |
Fit MultiTaskElasticNet model with coordinate descent Parameters
Xndarray of shape (n_samples, n_features)
Data.
yndarray of shape (n_samples, n_tasks)
Target. Will be cast to X’s dtype if necessary. Notes Coordinate descent is an algorithm that considers each column of data at a time hence it will auto... | |
doc_3702 |
An ndarray containing the non- fill_value values. Examples
>>> s = SparseArray([0, 0, 1, 0, 2], fill_value=0)
>>> s.sp_values
array([1, 2]) | |
doc_3703 | tf.compat.v1.train.SyncReplicasOptimizer(
opt, replicas_to_aggregate, total_num_replicas=None, variable_averages=None,
variables_to_average=None, use_locking=False, name='sync_replicas'
)
This class is deprecated. For synchronous training, please use Distribution Strategies. In a typical asynchronous training ... | |
doc_3704 | os.execle(path, arg0, arg1, ..., env)
os.execlp(file, arg0, arg1, ...)
os.execlpe(file, arg0, arg1, ..., env)
os.execv(path, args)
os.execve(path, args, env)
os.execvp(file, args)
os.execvpe(file, args, env)
These functions all execute a new program, replacing the current process; they do not return. On U... | |
doc_3705 |
Set the (group) id for the artist. Parameters
gidstr | |
doc_3706 | A class to handle opening of HTTPS URLs. context and check_hostname have the same meaning as in http.client.HTTPSConnection. Changed in version 3.2: context and check_hostname were added. | |
doc_3707 |
Shape of the i’th bicluster. Parameters
iint
The index of the cluster. Returns
n_rowsint
Number of rows in the bicluster.
n_colsint
Number of columns in the bicluster. | |
doc_3708 | unlock()
Three locking mechanisms are used—dot locking and, if available, the flock() and lockf() system calls. | |
doc_3709 | Line number on which the error was detected. The first line is numbered 1. | |
doc_3710 | Return a stat_result object for this entry. This method follows symbolic links by default; to stat a symbolic link add the follow_symlinks=False argument. On Unix, this method always requires a system call. On Windows, it only requires a system call if follow_symlinks is True and the entry is a reparse point (for examp... | |
doc_3711 | See Mock.reset_mock(). Also sets await_count to 0, await_args to None, and clears the await_args_list. | |
doc_3712 |
Least Squares projection of the data onto the sparse components. To avoid instability issues in case the system is under-determined, regularization can be applied (Ridge regression) via the ridge_alpha parameter. Note that Sparse PCA components orthogonality is not enforced as in PCA hence one cannot use a simple lin... | |
doc_3713 |
Bases: object AxisArtistHelper should define following method with given APIs. Note that the first axes argument will be axes attribute of the caller artist.: # LINE (spinal line?)
def get_line(self, axes):
# path : Path
return path
def get_line_transform(self, axes):
# ...
# trans : transform
r... | |
doc_3714 |
Bases: matplotlib.ticker.Locator Determine the tick locations for symmetric log axes. Parameters
transformSymmetricalLogTransform, optional
If set, defines the base and linthresh of the symlog transform.
base, linthreshfloat, optional
The base and linthresh of the symlog transform, as documented for Symmetr... | |
doc_3715 |
Returns whether the kernel is stationary. | |
doc_3716 |
Coarse to fine optical flow estimator. The TV-L1 solver is applied at each level of the image pyramid. TV-L1 is a popular algorithm for optical flow estimation introduced by Zack et al. [1], improved in [2] and detailed in [3]. Parameters
reference_imagendarray, shape (M, N[, P[, …]])
The first gray scale image... | |
doc_3717 |
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_3718 |
Pass the input through the encoder layers in turn. Parameters
src – the sequence to the encoder (required).
mask – the mask for the src sequence (optional).
src_key_padding_mask – the mask for the src keys per batch (optional). Shape:
see the docs in Transformer class. | |
doc_3719 |
Construct Python bytes containing the raw data bytes in the array. Constructs Python bytes showing a copy of the raw contents of data memory. The bytes object is produced in C-order by default. This behavior is controlled by the order parameter. New in version 1.9.0. Parameters
order{‘C’, ‘F’, ‘A’}, optional
... | |
doc_3720 | A round-robin scheduling policy. | |
doc_3721 | Open the URL url, which can be either a string or a Request object. data must be an object specifying additional data to be sent to the server, or None if no such data is needed. See Request for details. urllib.request module uses HTTP/1.1 and includes Connection:close header in its HTTP requests. The optional timeout ... | |
doc_3722 | Append items from iterable to the end of the array. If iterable is another array, it must have exactly the same type code; if not, TypeError will be raised. If iterable is not an array, it must be iterable and its elements must be the right type to be appended to the array. | |
doc_3723 |
Locally Linear Embedding Read more in the User Guide. Parameters
n_neighborsint, default=5
number of neighbors to consider for each point.
n_componentsint, default=2
number of coordinates for the manifold
regfloat, default=1e-3
regularization constant, multiplies the trace of the local covariance matrix... | |
doc_3724 | Quiver(ax, *args[, scale, headwidth, ...]) Specialized PolyCollection for arrows.
QuiverKey(Q, X, Y, U, label, *[, angle, ...]) Labelled arrow for use as a quiver plot scale key.
Barbs(ax, *args[, pivot, length, barbcolor, ...]) Specialized PolyCollection for barbs. | |
doc_3725 | For top-level classes, None. For nested classes, the parent. New in version 3.7. | |
doc_3726 |
Add installable headers to configuration. Add the given sequence of files to the beginning of the headers list. By default, headers will be installed under <python- include>/<self.name.replace(‘.’,’/’)>/ directory. If an item of files is a tuple, then its first argument specifies the actual installation location rela... | |
doc_3727 |
Return the offsets for the collection. | |
doc_3728 |
Calibrate a denoising function and return optimal J-invariant version. The returned function is partially evaluated with optimal parameter values set for denoising the input image. Parameters
imagendarray
Input data to be denoised (converted using img_as_float).
denoise_functionfunction
Denoising function t... | |
doc_3729 | See Migration guide for more details. tf.compat.v1.raw_ops.ResourceScatterNdMax
tf.raw_ops.ResourceScatterNdMax(
ref, indices, updates, use_locking=True, name=None
)
Args
ref A Tensor of type resource. A resource handle. Must be from a VarHandleOp.
indices A Tensor. Must be one of the following ty... | |
doc_3730 | Returns the first_name plus the last_name, with a space in between. | |
doc_3731 |
Gradient Boosting for classification. GB builds an additive model in a forward stage-wise fashion; it allows for the optimization of arbitrary differentiable loss functions. In each stage n_classes_ regression trees are fit on the negative gradient of the binomial or multinomial deviance loss function. Binary classif... | |
doc_3732 |
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_3733 | See Migration guide for more details. tf.compat.v1.raw_ops.Requantize
tf.raw_ops.Requantize(
input, input_min, input_max, requested_output_min, requested_output_max,
out_type, name=None
)
Converts the quantized input tensor into a lower-precision output, using the output range specified with requested_output... | |
doc_3734 | tf.compat.v1.SparseTensorValue(
indices, values, dense_shape
)
Attributes
indices
values
dense_shape | |
doc_3735 |
Blocking call to interact with a figure. Wait until the user clicks n times on the figure, and return the coordinates of each click in a list. There are three possible interactions: Add a point. Remove the most recently added point. Stop the interaction and return the points added so far. The actions are assigned t... | |
doc_3736 | class tkinter.scrolledtext.ScrolledText(master=None, **kw)
frame
The frame which surrounds the text and scroll bar widgets.
vbar
The scroll bar widget. | |
doc_3737 |
Reduces array’s dimension by one, by applying ufunc along one axis. Let \(array.shape = (N_0, ..., N_i, ..., N_{M-1})\). Then \(ufunc.reduce(array, axis=i)[k_0, ..,k_{i-1}, k_{i+1}, .., k_{M-1}]\) = the result of iterating j over \(range(N_i)\), cumulatively applying ufunc to each \(array[k_0, ..,k_{i-1}, j, k_{i+1},... | |
doc_3738 | See Migration guide for more details. tf.compat.v1.raw_ops.QueueDequeueManyV2
tf.raw_ops.QueueDequeueManyV2(
handle, n, component_types, timeout_ms=-1, name=None
)
If the queue is closed and there are fewer than n elements, then an OutOfRange error is returned. This operation concatenates queue-element component... | |
doc_3739 |
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_3740 | set -= other | ...
Update the set, removing elements found in others. | |
doc_3741 |
Set the location of tick in data coords with scalar loc. | |
doc_3742 |
Return the tool object with the given name. For convenience, this passes tool objects through. Parameters
namestr or ToolBase
Name of the tool, or the tool itself.
warnbool, default: True
Whether a warning should be emitted it no tool with the given name exists. Returns
ToolBase or None
The tool or N... | |
doc_3743 |
Modify in place using non-NA values from another DataFrame. Aligns on indices. There is no return value. Parameters
other:DataFrame, or object coercible into a DataFrame
Should have at least one matching index/column label with the original DataFrame. If a Series is passed, its name attribute must be set, and t... | |
doc_3744 | URL decode a single string with a given encoding. If the charset is set to None no decoding is performed and raw bytes are returned. Parameters
s (Union[str, bytes]) – the string to unquote.
charset (str) – the charset of the query string. If set to None no decoding will take place.
errors (str) – the error handl... | |
doc_3745 | In-place version of square() | |
doc_3746 | See Migration guide for more details. tf.compat.v1.raw_ops.WriteFile
tf.raw_ops.WriteFile(
filename, contents, name=None
)
creates directory if not existing.
Args
filename A Tensor of type string. scalar. The name of the file to which we write the contents.
contents A Tensor of type string. scalar... | |
doc_3747 | tf.keras.applications.densenet.DenseNet201 Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.applications.DenseNet201, tf.compat.v1.keras.applications.densenet.DenseNet201
tf.keras.applications.DenseNet201(
include_top=True, weights='imagenet', input_tensor=None,
input_shap... | |
doc_3748 |
Return the snap setting. See set_snap for details. | |
doc_3749 |
Generate coordinates of pixels within circle. Parameters
centertuple
Center coordinate of disk.
radiusdouble
Radius of disk.
shapetuple, optional
Image shape which is used to determine the maximum extent of output pixel coordinates. This is useful for disks that exceed the image size. If None, the full ... | |
doc_3750 | See torch.trace() | |
doc_3751 |
Check for availability of Fortran 77 compiler. Use it inside source generating function to ensure that setup distribution instance has been initialized. Notes True if a Fortran 77 compiler is available (because a simple Fortran 77 code was able to be compiled successfully). | |
doc_3752 |
Attributes
key string key
value int32 value | |
doc_3753 | Encode the contents of the input file and write the resulting quoted-printable data to the output file. input and output must be binary file objects. quotetabs, a non-optional flag which controls whether to encode embedded spaces and tabs; when true it encodes such embedded whitespace, and when false it leaves them une... | |
doc_3754 |
Return the Transform instance used by this artist offset. | |
doc_3755 |
Array protocol: struct | |
doc_3756 | Do not interrupt sounds currently playing. | |
doc_3757 | Broken pipe: write to pipe with no readers. Default action is to ignore the signal. Availability: Unix. | |
doc_3758 | Return a list of source lines and starting line number for an object. The argument may be a module, class, method, function, traceback, frame, or code object. The source code is returned as a list of the lines corresponding to the object and the line number indicates where in the original source file the first line of ... | |
doc_3759 |
Return a function to preprocess the text before tokenization. Returns
preprocessor: callable
A function to preprocess the text before tokenization. | |
doc_3760 | tf.compat.v1.losses.sigmoid_cross_entropy(
multi_class_labels, logits, weights=1.0, label_smoothing=0, scope=None,
loss_collection=tf.GraphKeys.LOSSES, reduction=Reduction.SUM_BY_NONZERO_WEIGHTS
)
weights acts as a coefficient for the loss. If a scalar is provided, then the loss is simply scaled by the given v... | |
doc_3761 | Module: datetime
Provides the time and datetime types with which the ZoneInfo class is designed to be used. Package tzdata
First-party package maintained by the CPython core developers to supply time zone data via PyPI. Using ZoneInfo
ZoneInfo is a concrete implementation of the datetime.tzinfo abstract base c... | |
doc_3762 |
Fit the model to the data X which should contain a partial segment of the data. Parameters
Xndarray of shape (n_samples, n_features)
Training data. Returns
selfBernoulliRBM
The fitted model. | |
doc_3763 | Django will automatically generate a table to manage many-to-many relationships. However, if you want to manually specify the intermediary table, you can use the through option to specify the Django model that represents the intermediate table that you want to use. The most common use for this option is when you want t... | |
doc_3764 | os.spawnle(mode, path, ..., env)
os.spawnlp(mode, file, ...)
os.spawnlpe(mode, file, ..., env)
os.spawnv(mode, path, args)
os.spawnve(mode, path, args, env)
os.spawnvp(mode, file, args)
os.spawnvpe(mode, file, args, env)
Execute the program path in a new process. (Note that the subprocess module provides ... | |
doc_3765 |
Center kernel matrix. Parameters
Kndarray of shape (n_samples1, n_samples2)
Kernel matrix.
copybool, default=True
Set to False to perform inplace computation. Returns
K_newndarray of shape (n_samples1, n_samples2) | |
doc_3766 | operator.__lshift__(a, b)
Return a shifted left by b. | |
doc_3767 | A field which accepts JSON encoded data for an HStoreField. It casts all values (except nulls) to strings. It is represented by an HTML <textarea>. User friendly forms HStoreField is not particularly user friendly in most cases, however it is a useful way to format data from a client-side widget for submission to the ... | |
doc_3768 |
[Deprecated] Render a tex expression to a PNG file. Parameters
filename
A writable filename or fileobject.
texstrstr
A valid mathtext string, e.g., r'IQ: $sigma_i=15$'.
colorcolor
The text color.
dpifloat
The dots-per-inch setting used to render the text.
fontsizeint
The font size in points. Re... | |
doc_3769 |
Return the ceiling of the input, element-wise. The ceil of the scalar x is the smallest integer i, such that i >= x. It is often denoted as \(\lceil x \rceil\). Parameters
xarray_like
Input data.
outndarray, None, or tuple of ndarray and None, optional
A location into which the result is stored. If provided... | |
doc_3770 |
current(newindex=None)
If newindex is specified, sets the combobox value to the element position newindex. Otherwise, returns the index of the current value or -1 if the current value is not in the values list.
get()
Returns the current value of the combobox.
set(value)
Sets the value of the combobox to... | |
doc_3771 | By default you will not get any tracebacks in user-defined functions, aggregates, converters, authorizer callbacks etc. If you want to debug them, you can call this function with flag set to True. Afterwards, you will get tracebacks from callbacks on sys.stderr. Use False to disable the feature again. | |
doc_3772 |
Construct a Pipeline from the given estimators. This is a shorthand for the Pipeline constructor; it does not require, and does not permit, naming the estimators. Instead, their names will be set to the lowercase of their types automatically. Parameters
*stepslist of estimators.
memorystr or object with the job... | |
doc_3773 | See Migration guide for more details. tf.compat.v1.raw_ops.MatrixDiagV2
tf.raw_ops.MatrixDiagV2(
diagonal, k, num_rows, num_cols, padding_value, name=None
)
Returns a tensor with the contents in diagonal as k[0]-th to k[1]-th diagonals of a matrix, with everything else padded with padding. num_rows and num_cols ... | |
doc_3774 |
Put a value into a specified place in a field defined by a data-type. Place val into a’s field defined by dtype and beginning offset bytes into the field. Parameters
valobject
Value to be placed in field.
dtypedtype object
Data-type of the field in which to place val.
offsetint, optional
The number of b... | |
doc_3775 | Read everything that can be without blocking in I/O (eager). Raise EOFError if connection closed and no cooked data available. Return b'' if no cooked data available otherwise. Do not block unless in the midst of an IAC sequence. | |
doc_3776 |
Set the normalization instance. Parameters
normNormalize or None
Notes If there are any colorbars using the mappable for this norm, setting the norm of the mappable will reset the norm, locator, and formatters on the colorbar to default. | |
doc_3777 | See Migration guide for more details. tf.compat.v1.distribute.cluster_resolver.TPUClusterResolver
tf.distribute.cluster_resolver.TPUClusterResolver(
tpu=None, zone=None, project=None, job_name='worker',
coordinator_name=None, coordinator_address=None,
credentials='default', service=None, discovery_url=Non... | |
doc_3778 | See Migration guide for more details. tf.compat.v1.math.segment_sum, tf.compat.v1.segment_sum
tf.math.segment_sum(
data, segment_ids, name=None
)
Read the section on segmentation for an explanation of segments. Computes a tensor such that \(output_i = \sum_j data_j\) where sum is over j such that segment_ids[j] ... | |
doc_3779 | Like make_middleware but for decorating functions. Example usage: @manager.middleware
def application(environ, start_response):
...
The difference to make_middleware is that the function passed will have all the arguments copied from the inner application (name, docstring, module). Parameters
func (WSGIApplicati... | |
doc_3780 |
Return the aspect ratio of the axes scaling. This is either "auto" or a float giving the ratio of y/x-scale. | |
doc_3781 |
Unpacks the data and pivots from a LU factorization of a tensor. Returns a tuple of tensors as (the pivots, the L tensor, the U tensor). Parameters
LU_data (Tensor) – the packed LU factorization data
LU_pivots (Tensor) – the packed LU factorization pivots
unpack_data (bool) – flag indicating if the data should ... | |
doc_3782 |
Return Subtraction of series and other, element-wise (binary operator sub). Equivalent to series - other, but with support to substitute a fill_value for missing data in either one of the inputs. Parameters
other:Series or scalar value
fill_value:None or float value, default None (NaN)
Fill existing missing (... | |
doc_3783 | Return a pair (response, date). date is a datetime object containing the current date and time of the server. | |
doc_3784 | Modifies an already registered fd. This has the same effect as register(fd, eventmask). Attempting to modify a file descriptor that was never registered causes an OSError exception with errno ENOENT to be raised. | |
doc_3785 |
Returns the number of splitting iterations in the cross-validator Parameters
Xobject
Always ignored, exists for compatibility.
yobject
Always ignored, exists for compatibility.
groupsobject
Always ignored, exists for compatibility. Returns
n_splitsint
Returns the number of splitting iterations i... | |
doc_3786 |
Return the recommended gain value for the given nonlinearity function. The values are as follows:
nonlinearity gain
Linear / Identity 11
Conv{1,2,3}D 11
Sigmoid 11
Tanh 53\frac{5}{3}
ReLU 2\sqrt{2}
Leaky Relu 21+negative_slope2\sqrt{\frac{2}{1 + \text{negative\_slope}^2}}
SELU 34\frac{3}{4} ... | |
doc_3787 | Raised when an attribute reference (see Attribute references) or assignment fails. (When an object does not support attribute references or attribute assignments at all, TypeError is raised.) | |
doc_3788 |
Human retina. This image of a retina is useful for demonstrations requiring circular images. Returns
retina(1411, 1411, 3) uint8 ndarray
Retina image in RGB. Notes This image was downloaded from wikimedia. This file is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication. Ref... | |
doc_3789 | Release the underlying lock. This method calls the corresponding method on the underlying lock; there is no return value. | |
doc_3790 |
Plot visualization Extra keyword arguments will be passed to matplotlib’s plot. Parameters
axmatplotlib axes, default=None
Axes object to plot on. If None, a new figure and axes is created.
namestr, default=None
Name of ROC Curve for labeling. If None, use the name of the estimator. Returns
displayRoc... | |
doc_3791 |
Return the cursor data for a given event. Note This method is intended to be overridden by artist subclasses. As an end-user of Matplotlib you will most likely not call this method yourself. Cursor data can be used by Artists to provide additional context information for a given event. The default implementation ju... | |
doc_3792 | See Migration guide for more details. tf.compat.v1.raw_ops.UnicodeDecodeWithOffsets
tf.raw_ops.UnicodeDecodeWithOffsets(
input, input_encoding, errors='replace', replacement_char=65533,
replace_control_characters=False, Tsplits=tf.dtypes.int64, name=None
)
The character codepoints for all strings are returne... | |
doc_3793 | Internal attributes. | |
doc_3794 | Return the system identifier for the current event. | |
doc_3795 | Returns a new tensor with the tangent of the elements of input. outi=tan(inputi)\text{out}_{i} = \tan(\text{input}_{i})
Parameters
input (Tensor) – the input tensor. Keyword Arguments
out (Tensor, optional) – the output tensor. Example: >>> a = torch.randn(4)
>>> a
tensor([-1.2027, -1.7687, 0.4412, -1.3856])... | |
doc_3796 | tf.compat.v1.test.get_temp_dir()
There is no need to delete the directory after the test.
Returns The temporary directory. | |
doc_3797 | Autocast Op Reference Op Eligibility
Op-Specific Behavior Ops that can autocast to float16 Ops that can autocast to float32 Ops that promote to the widest input type Prefer binary_cross_entropy_with_logits over binary_cross_entropy Autocasting
class torch.cuda.amp.autocast(enabled=True) [source]
Instances o... | |
doc_3798 | Reads the robots.txt URL and feeds it to the parser. | |
doc_3799 |
Alias for set_edgecolor. |
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