_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_23100 | Represents a writer object that provides APIs to write data to the IO stream. It is not recommended to instantiate StreamWriter objects directly; use open_connection() and start_server() instead.
write(data)
The method attempts to write the data to the underlying socket immediately. If that fails, the data is queue... | |
doc_23101 | tf.compat.v1.gfile.Copy(
oldpath, newpath, overwrite=False
)
Args
oldpath string, name of the file who's contents need to be copied
newpath string, name of the file to which to copy to
overwrite boolean, if false it's an error for newpath to be occupied by an existing file.
Raises
er... | |
doc_23102 | the number of active fingers for a given touch device get_num_fingers(touchid) -> int Return the number of fingers active for the touch device whose id is touchid. | |
doc_23103 |
Get Modulo of dataframe and other, element-wise (binary operator mod). Equivalent to dataframe % other, but with support to substitute a fill_value for missing data in one of the inputs. With reverse version, rmod. Among flexible wrappers (add, sub, mul, div, mod, pow) to arithmetic operators: +, -, *, /, //, %, **. ... | |
doc_23104 |
Draw a Gouraud-shaded triangle. Parameters
gcGraphicsContextBase
The graphics context.
points(3, 2) array-like
Array of (x, y) points for the triangle.
colors(3, 4) array-like
RGBA colors for each point of the triangle.
transformmatplotlib.transforms.Transform
An affine transform to apply to the poi... | |
doc_23105 | tf.experimental.numpy.atleast_3d(
*arys
)
See the NumPy documentation for numpy.atleast_3d. | |
doc_23106 |
Force rasterized (bitmap) drawing for vector graphics output. Rasterized drawing is not supported by all artists. If you try to enable this on an artist that does not support it, the command has no effect and a warning will be issued. This setting is ignored for pixel-based output. See also Rasterization for vector g... | |
doc_23107 |
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_23108 | Return True if the object is a module. | |
doc_23109 | Shortcut for route() with methods=["GET"]. New in version 2.0. Parameters
rule (str) –
options (Any) – Return type
Callable | |
doc_23110 |
Transform documents to document-term matrix. Extract token counts out of raw text documents using the vocabulary fitted with fit or the one provided to the constructor. Parameters
raw_documentsiterable
An iterable which yields either str, unicode or file objects. Returns
Xsparse matrix of shape (n_samples... | |
doc_23111 | If self is alive then mark it as dead and return the result of calling func(*args, **kwargs). If self is dead then return None. | |
doc_23112 | See torch.ge(). | |
doc_23113 |
Init n_clusters seeds according to k-means++ New in version 0.24. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
The data to pick seeds from.
n_clustersint
The number of centroids to initialize
x_squared_normsarray-like of shape (n_samples,), default=None
Squared Euclidean no... | |
doc_23114 | tf.experimental.numpy.average(
a, axis=None, weights=None, returned=False
)
See the NumPy documentation for numpy.average. | |
doc_23115 | Return the integer “file descriptor” for the current file. When no file is opened (before the first line and between files), returns -1. | |
doc_23116 |
Return cumulative sum over a DataFrame or Series axis. Returns a DataFrame or Series of the same size containing the cumulative sum. Parameters
axis:{0 or ‘index’, 1 or ‘columns’}, default 0
The index or the name of the axis. 0 is equivalent to None or ‘index’.
skipna:bool, default True
Exclude NA/null valu... | |
doc_23117 | See Migration guide for more details. tf.compat.v1.raw_ops.SetStatsAggregatorDataset
tf.raw_ops.SetStatsAggregatorDataset(
input_dataset, stats_aggregator, tag, counter_prefix, output_types,
output_shapes, name=None
)
Args
input_dataset A Tensor of type variant.
stats_aggregator A Tensor of ty... | |
doc_23118 |
Return self&value. | |
doc_23119 | The headers received with the request. | |
doc_23120 | Analyze the contents of the pathname file, which must contain Python code. | |
doc_23121 |
Get the points of the bounding box directly as a numpy array of the form: [[x0, y0], [x1, y1]]. | |
doc_23122 | An ABC with one abstract method __complex__. | |
doc_23123 |
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_23124 |
Fit to data, then transform it. Fits transformer to X and y with optional parameters fit_params and returns a transformed version of X. Parameters
Xarray-like of shape (n_samples, n_features)
Input samples.
yarray-like of shape (n_samples,) or (n_samples, n_outputs), default=None
Target values (None for uns... | |
doc_23125 |
Return the complex conjugate, element-wise. The complex conjugate of a complex number is obtained by changing the sign of its imaginary part. Parameters
xarray_like
Input value.
outndarray, None, or tuple of ndarray and None, optional
A location into which the result is stored. If provided, it must have a s... | |
doc_23126 | Set handler as the new event loop exception handler. If handler is None, the default exception handler will be set. Otherwise, handler must be a callable with the signature matching (loop, context), where loop is a reference to the active event loop, and context is a dict object containing the details of the exception ... | |
doc_23127 |
Immutable sequence used for indexing and alignment. The basic object storing axis labels for all pandas objects. Float64Index is a special case of Index with purely float labels. . Deprecated since version 1.4.0: In pandas v2.0 Float64Index will be removed and NumericIndex used instead. Float64Index will remain full... | |
doc_23128 | Receive data from the socket, writing it into buffer instead of creating a new bytestring. The return value is a pair (nbytes, address) where nbytes is the number of bytes received and address is the address of the socket sending the data. See the Unix manual page recv(2) for the meaning of the optional argument flags;... | |
doc_23129 | An async generator can be annotated by the generic type AsyncGenerator[YieldType, SendType]. For example: async def echo_round() -> AsyncGenerator[int, float]:
sent = yield 0
while sent >= 0.0:
rounded = await round(sent)
sent = yield rounded
Unlike normal generators, async generators cannot re... | |
doc_23130 | Called once before any tests are executed. New in version 3.1. | |
doc_23131 |
Mean absolute percentage error regression loss. Note here that we do not represent the output as a percentage in range [0, 100]. Instead, we represent it in range [0, 1/eps]. Read more in the User Guide. New in version 0.24. Parameters
y_truearray-like of shape (n_samples,) or (n_samples, n_outputs)
Ground tr... | |
doc_23132 | A bool that controls whether cuDNN is enabled. | |
doc_23133 | See Migration guide for more details. tf.compat.v1.raw_ops.RefSwitch
tf.raw_ops.RefSwitch(
data, pred, name=None
)
If pred is true, the data input is forwarded to output_true. Otherwise, the data goes to output_false. See also Switch and Merge.
Args
data A mutable Tensor. The ref tensor to be forwarded ... | |
doc_23134 | The get_autocomplete_fields() method is given the HttpRequest and is expected to return a list or tuple of field names that will be displayed with an autocomplete widget as described above in the ModelAdmin.autocomplete_fields section. | |
doc_23135 |
Get a sorted list of all of the plotting commands. | |
doc_23136 |
Return the lower and upper y-axis bounds, in increasing order. See also set_ybound
get_ylim, set_ylim
invert_yaxis, yaxis_inverted | |
doc_23137 | When an expression, such as a function call, appears as a statement by itself with its return value not used or stored, it is wrapped in this container. value holds one of the other nodes in this section, a Constant, a Name, a Lambda, a Yield or YieldFrom node. >>> print(ast.dump(ast.parse('-a'), indent=4))
Module(
... | |
doc_23138 | Required. 255 characters or fewer. Example: 'Can vote'. | |
doc_23139 | The prefix for the generated form. | |
doc_23140 | New in version 3.5. A subclass of enum.IntEnum that defines a set of HTTP status codes, reason phrases and long descriptions written in English. Usage: >>> from http import HTTPStatus
>>> HTTPStatus.OK
<HTTPStatus.OK: 200>
>>> HTTPStatus.OK == 200
True
>>> HTTPStatus.OK.value
200
>>> HTTPStatus.OK.phrase
'OK'
>>> HTT... | |
doc_23141 |
Return the clip path. | |
doc_23142 | tf.experimental.numpy.nansum(
a, axis=None, dtype=None, keepdims=False
)
Unsupported arguments: out. See the NumPy documentation for numpy.nansum. | |
doc_23143 | The concatenation of the drive and root: >>> PureWindowsPath('c:/Program Files/').anchor
'c:\\'
>>> PureWindowsPath('c:Program Files/').anchor
'c:'
>>> PurePosixPath('/etc').anchor
'/'
>>> PureWindowsPath('//host/share').anchor
'\\\\host\\share\\' | |
doc_23144 | Return rendered text as a surface render(text, fgcolor=None, bgcolor=None, style=STYLE_DEFAULT, rotation=0, size=0) -> (Surface, Rect) Returns a new Surface, with the text rendered to it in the color given by 'fgcolor'. If no foreground color is given, the default foreground color, fgcolor is used. If bgcolor is give... | |
doc_23145 |
Return cumulative minimum over a DataFrame or Series axis. Returns a DataFrame or Series of the same size containing the cumulative minimum. Parameters
axis:{0 or ‘index’, 1 or ‘columns’}, default 0
The index or the name of the axis. 0 is equivalent to None or ‘index’.
skipna:bool, default True
Exclude NA/n... | |
doc_23146 | Returns socket instance used to connect to server. | |
doc_23147 |
Equivalent to running: f2py <args>
where <args>=string.join(<list>,' '), but in Python. Unless -h is used, this function returns a dictionary containing information on generated modules and their dependencies on source files. For example, the command f2py -m scalar scalar.f can be executed from Python as follows You... | |
doc_23148 |
Return the Colormap instance. | |
doc_23149 | Return a string representation of the Morsel, suitable to be sent as an HTTP header. By default, all the attributes are included, unless attrs is given, in which case it should be a list of attributes to use. header is by default "Set-Cookie:". | |
doc_23150 |
Mutual Information between two clusterings. The Mutual Information is a measure of the similarity between two labels of the same data. Where \(|U_i|\) is the number of the samples in cluster \(U_i\) and \(|V_j|\) is the number of the samples in cluster \(V_j\), the Mutual Information between clusterings \(U\) and \(V... | |
doc_23151 |
Add a centered suptitle to the figure. Parameters
tstr
The suptitle text.
xfloat, default: 0.5
The x location of the text in figure coordinates.
yfloat, default: 0.98
The y location of the text in figure coordinates.
horizontalalignment, ha{'center', 'left', 'right'}, default: center
The horizontal ... | |
doc_23152 | get the current position of an axis get_axis(axis_number) -> float Returns the current position of a joystick axis. The value will range from -1 to 1 with a value of 0 being centered. You may want to take into account some tolerance to handle jitter, and joystick drift may keep the joystick from centering at 0 or usi... | |
doc_23153 | Expects input to be <= 2-D tensor and transposes dimensions 0 and 1. 0-D and 1-D tensors are returned as is. When input is a 2-D tensor this is equivalent to transpose(input, 0, 1). Parameters
input (Tensor) – the input tensor. Example: >>> x = torch.randn(())
>>> x
tensor(0.1995)
>>> torch.t(x)
tensor(0.1995)
>>> ... | |
doc_23154 | See Migration guide for more details. tf.compat.v1.keras.applications.mobilenet_v3.decode_predictions
tf.keras.applications.mobilenet_v3.decode_predictions(
preds, top=5
)
Arguments
preds Numpy array encoding a batch of predictions.
top Integer, how many top-guesses to return. Defaults to 5.
... | |
doc_23155 | See Migration guide for more details. tf.compat.v1.keras.backend.reset_uids
tf.keras.backend.reset_uids() | |
doc_23156 |
Predict using the multi-layer perceptron model. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
The input data. Returns
yndarray of shape (n_samples, n_outputs)
The predicted values. | |
doc_23157 | Returns a Tensor of size size filled with uninitialized data. By default, the returned Tensor has the same torch.dtype and torch.device as this tensor. Parameters
dtype (torch.dtype, optional) – the desired type of returned tensor. Default: if None, same torch.dtype as this tensor.
device (torch.device, optional) ... | |
doc_23158 |
Value indicating that a masked array has no invalid entry. nomask is used internally to speed up computations when the mask is not needed. It is represented internally as np.False_. | |
doc_23159 |
Return str(self). | |
doc_23160 |
Returns true for each element if all characters in the string are alphabetic and there is at least one character, false otherwise. See also char.isalpha | |
doc_23161 | Out-of-place version of torch.Tensor.masked_scatter_() | |
doc_23162 |
Return the complex conjugate, element-wise. Refer to numpy.conjugate for full documentation. See also numpy.conjugate
equivalent function | |
doc_23163 |
Alias for get_fontproperties. | |
doc_23164 |
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_23165 |
A multi-label model that arranges regressions into a chain. Each model makes a prediction in the order specified by the chain using all of the available features provided to the model plus the predictions of models that are earlier in the chain. Read more in the User Guide. New in version 0.20. Parameters
base_... | |
doc_23166 | tf.compat.v1.initialize_variables(
var_list, name='init'
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed after 2017-03-02. Instructions for updating: Use tf.variables_initializer instead.
Note: The output of this function should be used. If it is not, a warning will be logged or an error may be raised. ... | |
doc_23167 | If this attribute is numeric and 1 or more, a shlex instance will print verbose progress output on its behavior. If you need to use this, you can read the module source code to learn the details. | |
doc_23168 |
Get the formatter of the minor ticker. | |
doc_23169 | A mixin to create case-insensitive text fields backed by the citext type. Read about the performance considerations prior to using it. To use citext, use the CITextExtension operation to set up the citext extension in PostgreSQL before the first CreateModel migration operation. If you’re using an ArrayField of CIText f... | |
doc_23170 | Flag showing the status of the user site-packages directory. True means that it is enabled and was added to sys.path. False means that it was disabled by user request (with -s or PYTHONNOUSERSITE). None means it was disabled for security reasons (mismatch between user or group id and effective id) or by an administrato... | |
doc_23171 |
Bases: matplotlib.colors.Normalize Normalize symmetrical data around a center (0 by default). Unlike TwoSlopeNorm, CenteredNorm applies an equal rate of change around the center. Useful when mapping symmetrical data around a conceptual center e.g., data that range from -2 to 4, with 0 as the midpoint, and with equal ... | |
doc_23172 | Similar to loop.create_server() but works with the AF_UNIX socket family. path is the name of a Unix domain socket, and is required, unless a sock argument is provided. Abstract Unix sockets, str, bytes, and Path paths are supported. See the documentation of the loop.create_server() method for information about argumen... | |
doc_23173 |
Check if the interval is closed on the left side. For the meaning of closed and open see Interval. Returns
bool
True if the Interval is closed on the left-side. | |
doc_23174 |
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_23175 |
Return a dictionary of supported CPU features by the platform, and accumulate the rest of undefined options in conf_features, the returned dict has same rules and notes in class attribute conf_features, also its override any options that been set in ‘conf_features’. | |
doc_23176 |
Local bottom-hat of an image. This filter computes the morphological closing of the image and then subtracts the result from the original image. Parameters
image2-D array (integer or float)
Input image.
selem2-D array (integer or float)
The neighborhood expressed as a 2-D array of 1’s and 0’s.
out2-D arra... | |
doc_23177 | Resizes self tensor to the specified size. If the number of elements is larger than the current storage size, then the underlying storage is resized to fit the new number of elements. If the number of elements is smaller, the underlying storage is not changed. Existing elements are preserved but any new memory is unini... | |
doc_23178 |
Aggregate using one or more operations over the specified axis. Parameters
func:function, str, list or dict
Function to use for aggregating the data. If a function, must either work when passed a DataFrame or when passed to DataFrame.apply. Accepted combinations are: function string function name list of funct... | |
doc_23179 | See Migration guide for more details. tf.compat.v1.raw_ops.ResizeArea
tf.raw_ops.ResizeArea(
images, size, align_corners=False, name=None
)
Input images can be of different types but output images are always float. The range of pixel values for the output image might be slightly different from the range for the ... | |
doc_23180 | This exception is raised when the get_nowait() method is called on an empty queue. | |
doc_23181 |
Apply the affine part of this transform to Path path, returning a new Path. transform_path(path) is equivalent to transform_path_affine(transform_path_non_affine(values)). | |
doc_23182 | stop sound playback after fading out fadeout(time) -> None This will stop playback of the sound after fading it out over the time argument in milliseconds. The Sound will fade and stop on all actively playing channels. | |
doc_23183 | See Migration guide for more details. tf.compat.v1.config.threading.set_intra_op_parallelism_threads
tf.config.threading.set_intra_op_parallelism_threads(
num_threads
)
Certain operations like matrix multiplication and reductions can utilize parallel threads for speed ups. A value of 0 means the system picks an ... | |
doc_23184 | sklearn.isotonic.isotonic_regression(y, *, sample_weight=None, y_min=None, y_max=None, increasing=True) [source]
Solve the isotonic regression model. Read more in the User Guide. Parameters
yarray-like of shape (n_samples,)
The data.
sample_weightarray-like of shape (n_samples,), default=None
Weights on eac... | |
doc_23185 | sklearn.datasets.fetch_kddcup99(*, subset=None, data_home=None, shuffle=False, random_state=None, percent10=True, download_if_missing=True, return_X_y=False, as_frame=False) [source]
Load the kddcup99 dataset (classification). Download it if necessary.
Classes 23
Samples total 4898431
Dimensionality 41
Featur... | |
doc_23186 | See Migration guide for more details. tf.compat.v1.keras.experimental.LinearModel
tf.keras.experimental.LinearModel(
units=1, activation=None, use_bias=True, kernel_initializer='zeros',
bias_initializer='zeros', kernel_regularizer=None,
bias_regularizer=None, **kwargs
)
This model approximates the follow... | |
doc_23187 | The default center latitude and longitude are 47 and 5, respectively, which is a location in eastern France. | |
doc_23188 | A dictionary mapping names to descriptors for nested functions and classes. New in version 3.7. | |
doc_23189 | class sklearn.linear_model.Ridge(alpha=1.0, *, fit_intercept=True, normalize=False, copy_X=True, max_iter=None, tol=0.001, solver='auto', random_state=None) [source]
Linear least squares with l2 regularization. Minimizes the objective function: ||y - Xw||^2_2 + alpha * ||w||^2_2
This model solves a regression model ... | |
doc_23190 |
Compute the sign and (natural) logarithm of the determinant of an array. If an array has a very small or very large determinant, then a call to det may overflow or underflow. This routine is more robust against such issues, because it computes the logarithm of the determinant rather than the determinant itself. Para... | |
doc_23191 |
Bases: skimage.viewer.widgets.core.BaseWidget Slider widget for adjusting numeric parameters. Parameters
namestr
Name of slider parameter. If this parameter is passed as a keyword argument, it must match the name of that keyword argument (spaces are replaced with underscores). In addition, this name is displaye... | |
doc_23192 | This hook function is called by built-in breakpoint(). By default, it drops you into the pdb debugger, but it can be set to any other function so that you can choose which debugger gets used. The signature of this function is dependent on what it calls. For example, the default binding (e.g. pdb.set_trace()) expects no... | |
doc_23193 | Return the process exit status. This function should be employed only if WIFEXITED() is true. Availability: Unix. | |
doc_23194 |
Partial dependence of features. Partial dependence of a feature (or a set of features) corresponds to the average response of an estimator for each possible value of the feature. Read more in the User Guide. Warning For GradientBoostingClassifier and GradientBoostingRegressor, the 'recursion' method (used by default... | |
doc_23195 | rotate an image rotate(Surface, angle) -> Surface Unfiltered counterclockwise rotation. The angle argument represents degrees and can be any floating point value. Negative angle amounts will rotate clockwise. Unless rotating by 90 degree increments, the image will be padded larger to hold the new size. If the image h... | |
doc_23196 |
Get LaTeX preamble from rc. | |
doc_23197 |
pygame module for loading and playing sounds This module contains classes for loading Sound objects and controlling playback. The mixer module is optional and depends on SDL_mixer. Your program should test that pygame.mixer is available and initialized before using it. The mixer module has a limited number of chan... | |
doc_23198 |
Convert the input to a chararray, copying the data only if necessary. Versus a regular NumPy array of type str or unicode, this class adds the following functionality: values automatically have whitespace removed from the end when indexed comparison operators automatically remove whitespace from the end when compari... | |
doc_23199 | tf.compat.v1.losses.hinge_loss(
labels, logits, weights=1.0, scope=None, loss_collection=tf.GraphKeys.LOSSES,
reduction=Reduction.SUM_BY_NONZERO_WEIGHTS
)
Args
labels The ground truth output tensor. Its shape should match the shape of logits. The values of the tensor are expected to be 0.0 or 1.0. Int... |
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