_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_20300 | Decorator to mark a class or function to be unavailable at runtime. This decorator is itself not available at runtime. It is mainly intended to mark classes that are defined in type stub files if an implementation returns an instance of a private class: @type_check_only
class Response: # private or not available at ru... | |
doc_20301 |
Returns a list of slices corresponding to the masked clumps of a 1-D array. (A “clump” is defined as a contiguous region of the array). Parameters
andarray
A one-dimensional masked array. Returns
sliceslist of slice
The list of slices, one for each continuous region of masked elements in a. See als... | |
doc_20302 | Enforce that the WSGI response is a response object of the current type. Werkzeug will use the Response internally in many situations like the exceptions. If you call get_response() on an exception you will get back a regular Response object, even if you are using a custom subclass. This method can enforce a given resp... | |
doc_20303 |
Set the antialiasing state for rendering. Parameters
aabool or list of bools | |
doc_20304 | class range(start, stop[, step])
Rather than being a function, range is actually an immutable sequence type, as documented in Ranges and Sequence Types — list, tuple, range. | |
doc_20305 |
Splits the tensor into chunks. Each chunk is a view of the original tensor. If split_size_or_sections is an integer type, then tensor will be split into equally sized chunks (if possible). Last chunk will be smaller if the tensor size along the given dimension dim is not divisible by split_size. If split_size_or_sect... | |
doc_20306 |
Return DateOffset object from string or tuple representation or datetime.timedelta object. Parameters
freq:str, datetime.timedelta, BaseOffset or None
Returns
DateOffset or None
Raises
ValueError
If freq is an invalid frequency See also BaseOffset
Standard kind of date increment used for a date r... | |
doc_20307 | tf.compat.v1.nn.dropout(
x, keep_prob=None, noise_shape=None, seed=None, name=None, rate=None
)
Warning: SOME ARGUMENTS ARE DEPRECATED: (keep_prob). They will be removed in a future version. Instructions for updating: Please use rate instead of keep_prob. Rate should be set to rate = 1 - keep_prob. For each elemen... | |
doc_20308 |
Return index for last non-NA value or None, if no NA value is found. Returns
scalar:type of index
Notes If all elements are non-NA/null, returns None. Also returns None for empty Series/DataFrame. | |
doc_20309 | See Migration guide for more details. tf.compat.v1.raw_ops.MaxPool
tf.raw_ops.MaxPool(
input, ksize, strides, padding, explicit_paddings=[],
data_format='NHWC', name=None
)
Args
input A Tensor. Must be one of the following types: half, bfloat16, float32, float64, int32, int64, uint8, int16, int8, ui... | |
doc_20310 |
Apply the non-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_20311 | Converts the object back into an HTTP header. | |
doc_20312 | Returns a bitmask specifying the mixer controls that may be used to record. See the code example for controls() for an example of reading from a bitmask. | |
doc_20313 |
Copy properties from other to self. | |
doc_20314 | This decorator is used on the admin views that require authorization. A view decorated with this function will have the following behavior: If the user is logged in, is a staff member (User.is_staff=True), and is active (User.is_active=True), execute the view normally. Otherwise, the request will be redirected to the ... | |
doc_20315 |
Bases: mpl_toolkits.axisartist.axislines.AxisArtistHelper.Fixed nth_coord = along which coordinate value varies in 2D, nth_coord = 0 -> x axis, nth_coord = 1 -> y axis get_tick_iterators(axes)[source]
tick_loc, tick_angle, tick_label | |
doc_20316 | mplot3d FAQ How is mplot3d different from Mayavi? My 3D plot doesn't look right at certain viewing angles I don't like how the 3D plot is laid out, how do I change that? Note pyplot cannot be used to add content to 3D plots, because its function signatures are strictly 2D and cannot handle the additional informatio... | |
doc_20317 | tf.compat.v1.trainable_variables(
scope=None
)
When passed trainable=True, the Variable() constructor automatically adds new variables to the graph collection GraphKeys.TRAINABLE_VARIABLES. This convenience function returns the contents of that collection.
Args
scope (Optional.) A string. If supplied, the... | |
doc_20318 | Try to match a single stored value (dv) with a supplied value (v). | |
doc_20319 | tf.experimental.numpy.ascontiguousarray(
a, dtype=None
)
See the NumPy documentation for numpy.ascontiguousarray. | |
doc_20320 |
Perform regression on samples in X. For an one-class model, +1 (inlier) or -1 (outlier) is returned. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
For kernel=”precomputed”, the expected shape of X is (n_samples_test, n_samples_train). Returns
y_predndarray of shape (n_samples,) | |
doc_20321 | Exception.with_traceback(tb) – set self.__traceback__ to tb and return self. | |
doc_20322 | A simple object subclass that provides attribute access to its namespace, as well as a meaningful repr. Unlike object, with SimpleNamespace you can add and remove attributes. If a SimpleNamespace object is initialized with keyword arguments, those are directly added to the underlying namespace. The type is roughly equi... | |
doc_20323 |
Noise feature. Parameters
image([P,] M, N) ndarray (uint8, uint16)
Input image.
selemndarray
The neighborhood expressed as an ndarray of 1’s and 0’s.
out([P,] M, N) array (same dtype as input)
If None, a new array is allocated.
maskndarray (integer or float), optional
Mask array that defines (>0) ar... | |
doc_20324 | See torch.atan() | |
doc_20325 |
Add a table to an Axes. At least one of cellText or cellColours must be specified. These parameters must be 2D lists, in which the outer lists define the rows and the inner list define the column values per row. Each row must have the same number of elements. The table can optionally have row and column headers, whic... | |
doc_20326 |
Predict using the linear model. Parameters
Xarray-like or sparse matrix, shape (n_samples, n_features)
Samples. Returns
Carray, shape (n_samples,)
Returns predicted values. | |
doc_20327 | Return x * (2**i). This is essentially the inverse of function frexp(). | |
doc_20328 |
Filename of the image. str: Filename of the image to use in a Toolbar. If None, the name is used as a label in the toolbar button. | |
doc_20329 |
Compute pairwise correlation. Pairwise correlation is computed between rows or columns of DataFrame with rows or columns of Series or DataFrame. DataFrames are first aligned along both axes before computing the correlations. Parameters
other:DataFrame, Series
Object with which to compute correlations.
axis:{0... | |
doc_20330 |
Bases: matplotlib.artist.Artist A line - the line can have both a solid linestyle connecting all the vertices, and a marker at each vertex. Additionally, the drawing of the solid line is influenced by the drawstyle, e.g., one can create "stepped" lines in various styles. Create a Line2D instance with x and y data in ... | |
doc_20331 |
Return the artist's zorder. | |
doc_20332 | New in Django 4.0. Specifies the renderer to use for ErrorList. Defaults to None which means to use the default renderer specified by the FORM_RENDERER setting. | |
doc_20333 |
For each element in self, return a copy of the string where all characters occurring in the optional argument deletechars are removed, and the remaining characters have been mapped through the given translation table. See also char.translate | |
doc_20334 |
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_20335 | The name of the module. Expected to match importlib.machinery.ModuleSpec.name. | |
doc_20336 |
Draw samples from a logarithmic series distribution. Samples are drawn from a log series distribution with specified shape parameter, 0 < p < 1. Note New code should use the logseries method of a default_rng() instance instead; please see the Quick Start. Parameters
pfloat or array_like of floats
Shape parame... | |
doc_20337 | The smallest possible difference between non-equal timedelta objects, timedelta(microseconds=1). | |
doc_20338 |
Abstract base class for constraints. A constraint object represents a region over which a variable is valid, e.g. within which a variable can be optimized. Variables
~Constraint.is_discrete (bool) – Whether constrained space is discrete. Defaults to False.
~Constraint.event_dim (int) – Number of rightmost dimens... | |
doc_20339 | operator.__irshift__(a, b)
a = irshift(a, b) is equivalent to a >>= b. | |
doc_20340 | Return a list of all available password database entries, in arbitrary order. | |
doc_20341 | tf.greater_equal Compat aliases for migration See Migration guide for more details. tf.compat.v1.greater_equal, tf.compat.v1.math.greater_equal
tf.math.greater_equal(
x, y, name=None
)
Note: math.greater_equal supports broadcasting. More about broadcasting here
Example: x = tf.constant([5, 4, 6, 7])
y = tf.con... | |
doc_20342 |
Compute the maximum absolute value to be used for later scaling. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
The data used to compute the per-feature minimum and maximum used for later scaling along the features axis.
yNone
Ignored. Returns
selfobject
Fitted scaler. | |
doc_20343 | See Migration guide for more details. tf.compat.v1.raw_ops.ApplyProximalAdagrad
tf.raw_ops.ApplyProximalAdagrad(
var, accum, lr, l1, l2, grad, use_locking=False, name=None
)
accum += grad * grad prox_v = var - lr * grad * (1 / sqrt(accum)) var = sign(prox_v)/(1+lr*l2) * max{|prox_v|-lr*l1,0}
Args
var A ... | |
doc_20344 |
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_20345 |
Apply inverse transformation. Coordinates outside of the mesh will be set to - 1. Parameters
coords(N, 2) array
Source coordinates. Returns
coords(N, 2) array
Transformed coordinates. | |
doc_20346 |
Draw the Artist (and its children) using the given renderer. This has no effect if the artist is not visible (Artist.get_visible returns False). Parameters
rendererRendererBase subclass.
Notes This method is overridden in the Artist subclasses. | |
doc_20347 | Return the reference count of the object. The count returned is generally one higher than you might expect, because it includes the (temporary) reference as an argument to getrefcount(). | |
doc_20348 | Unquote a single etag: >>> unquote_etag('W/"bar"')
('bar', True)
>>> unquote_etag('"bar"')
('bar', False)
Parameters
etag (Optional[str]) – the etag identifier to unquote. Returns
a (etag, weak) tuple. Return type
Union[Tuple[str, bool], Tuple[None, None]] | |
doc_20349 |
Warning raised when reading different dtypes in a column from a file. Raised for a dtype incompatibility. This can happen whenever read_csv or read_table encounter non-uniform dtypes in a column(s) of a given CSV file. See also read_csv
Read CSV (comma-separated) file into a DataFrame. read_table
Read general de... | |
doc_20350 |
Add all subplots specified by this GridSpec to its parent figure. See Figure.subplots for detailed documentation. | |
doc_20351 | tf.image.stateless_random_jpeg_quality(
image, min_jpeg_quality, max_jpeg_quality, seed
)
Guarantees the same results given the same seed independent of how many times the function is called, and independent of global seed settings (e.g. tf.random.set_seed). min_jpeg_quality must be in the interval [0, 100] and le... | |
doc_20352 | See Migration guide for more details. tf.compat.v1.raw_ops.LoadAndRemapMatrix
tf.raw_ops.LoadAndRemapMatrix(
ckpt_path, old_tensor_name, row_remapping, col_remapping, initializing_values,
num_rows, num_cols, max_rows_in_memory=-1, name=None
)
at ckpt_path and potentially reorders its rows and columns using t... | |
doc_20353 |
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_20354 | This widget uses an OpenStreetMap base layer to display geographic objects on. Attributes are:
template_name
gis/openlayers-osm.html
default_lat
default_lon
The default center latitude and longitude are 47 and 5, respectively, which is a location in eastern France.
default_zoom
The default map zoom ... | |
doc_20355 |
Returns
transformTransform
The transform used for drawing secondary x-axis labels, which will add pad_points of padding (in points) between the axis and the label. The x-direction is in data coordinates and the y-direction is in axis coordinates
valign{'center', 'top', 'bottom', 'baseline', 'center_baseline'}... | |
doc_20356 | tf.compat.v1.count_up_to(
ref, limit, name=None
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Prefer Dataset.range instead.
Args
ref A Variable. Must be one of the following types: int32, int64. Should be from a scalar Variable node.
limit ... | |
doc_20357 |
Raise a Hermite series to a power. Returns the Hermite series c raised to the power pow. The argument c is a sequence of coefficients ordered from low to high. i.e., [1,2,3] is the series P_0 + 2*P_1 + 3*P_2. Parameters
carray_like
1-D array of Hermite series coefficients ordered from low to high.
powinteger
... | |
doc_20358 |
Get the underlying transformation matrix as a 3x3 numpy array: a c e
b d f
0 0 1
. | |
doc_20359 | Parameters
angle – a number (optional) Set or return the current tilt-angle. If angle is given, rotate the turtleshape to point in the direction specified by angle, regardless of its current tilt-angle. Do not change the turtle’s heading (direction of movement). If angle is not given: return the current tilt-angle,... | |
doc_20360 | Removes the pruning reparameterization from a module. The pruned parameter named name remains permanently pruned, and the parameter named name+'_orig' is removed from the parameter list. Similarly, the buffer named name+'_mask' is removed from the buffers. Note Pruning itself is NOT undone or reversed! | |
doc_20361 | Serialize data to JSON and wrap it in a Response with the application/json mimetype. Uses dumps() to serialize the data, but args and kwargs are treated as data rather than arguments to json.dumps(). Single argument: Treated as a single value. Multiple arguments: Treated as a list of values. jsonify(1, 2, 3) is the sa... | |
doc_20362 |
Return a 2-D array with ones on the diagonal and zeros elsewhere. Parameters
Nint
Number of rows in the output.
Mint, optional
Number of columns in the output. If None, defaults to N.
kint, optional
Index of the diagonal: 0 (the default) refers to the main diagonal, a positive value refers to an upper d... | |
doc_20363 | Send the data bytes to the remote peer given by addr (a transport-dependent target address). If addr is None, the data is sent to the target address given on transport creation. This method does not block; it buffers the data and arranges for it to be sent out asynchronously. | |
doc_20364 | See torch.solve() | |
doc_20365 | Used to display HTML or access attributes for a single field of a Form instance. The __str__() method of this object displays the HTML for this field. | |
doc_20366 |
Set the linewidth(s) for the collection. lw can be a scalar or a sequence; if it is a sequence the patches will cycle through the sequence Parameters
lwfloat or list of floats | |
doc_20367 |
Reset the broadcasted result’s iterator(s). Parameters
None
Returns
None
Examples >>> x = np.array([1, 2, 3])
>>> y = np.array([[4], [5], [6]])
>>> b = np.broadcast(x, y)
>>> b.index
0
>>> next(b), next(b), next(b)
((1, 4), (2, 4), (3, 4))
>>> b.index
3
>>> b.reset()
>>> b.index
0 | |
doc_20368 | load cursor data from an XBM file load_xbm(cursorfile) -> cursor_args load_xbm(cursorfile, maskfile) -> cursor_args This loads cursors for a simple subset of XBM files. XBM files are traditionally used to store cursors on UNIX systems, they are an ASCII format used to represent simple images. Sometimes the black and ... | |
doc_20369 |
Check if the Index holds categorical data. Returns
bool
True if the Index is categorical. See also CategoricalIndex
Index for categorical data. is_boolean
Check if the Index only consists of booleans. is_integer
Check if the Index only consists of integers. is_floating
Check if the Index is a floatin... | |
doc_20370 |
Set the calculation method for the z-order. Parameters
zsort{'average', 'min', 'max'}
The function applied on the z-coordinates of the vertices in the viewer's coordinate system, to determine the z-order. | |
doc_20371 | Subtypes Rational and adds a conversion to int. Provides defaults for float(), numerator, and denominator. Adds abstract methods for ** and bit-string operations: <<, >>, &, ^, |, ~. | |
doc_20372 |
Identity function. If p is the returned series, then p(x) == x for all values of x. Parameters
domain{None, array_like}, optional
If given, the array must be of the form [beg, end], where beg and end are the endpoints of the domain. If None is given then the class domain is used. The default is None.
window{N... | |
doc_20373 |
Replace values where the condition is True. Parameters
cond:bool Series/DataFrame, array-like, or callable
Where cond is False, keep the original value. Where True, replace with corresponding value from other. If cond is callable, it is computed on the Series/DataFrame and should return boolean Series/DataFrame... | |
doc_20374 | test if extended image formats can be loaded get_extended() -> bool If pygame is built with extended image formats this function will return True. It is still not possible to determine which formats will be available, but generally you will be able to load them all. | |
doc_20375 |
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_20376 | 'blogs.blog': lambda o: "/blogs/%s/" % o.slug,
'news.story': lambda o: "/stories/%s/%s/" % (o.pub_year, o.slug),
}
The model name used in this setting should be all lowercase, regardless of the case of the actual model class name. ADMINS Default: [] (Empty list) A list of all the people who get code error noti... | |
doc_20377 | Returns a hook which opens each file with open(), using the given encoding and errors to read the file. Usage example: fi =
fileinput.FileInput(openhook=fileinput.hook_encoded("utf-8",
"surrogateescape")) Changed in version 3.6: Added the optional errors parameter. | |
doc_20378 | The details of this function differ on Unix and Windows. On Unix: Wait for completion of a child process given by process id pid, and return a tuple containing its process id and exit status indication (encoded as for wait()). The semantics of the call are affected by the value of the integer options, which should be 0... | |
doc_20379 | Return True if the platform supports creating a TCP socket which can handle both IPv4 and IPv6 connections. New in version 3.8. | |
doc_20380 | Like get_template(), except it takes a list of names and returns the first template that was found. | |
doc_20381 | bytearray.index(sub[, start[, end]])
Like find(), but raise ValueError when the subsequence is not found. The subsequence to search for may be any bytes-like object or an integer in the range 0 to 255. Changed in version 3.3: Also accept an integer in the range 0 to 255 as the subsequence. | |
doc_20382 | Returns the user model instance associated with the given request’s session. It checks if the authentication backend stored in the session is present in AUTHENTICATION_BACKENDS. If so, it uses the backend’s get_user() method to retrieve the user model instance and then verifies the session by calling the user model’s g... | |
doc_20383 | Change the mode of path to the numeric mode. If path is a symlink, this affects the symlink rather than the target. See the docs for chmod() for possible values of mode. As of Python 3.3, this is equivalent to os.chmod(path, mode, follow_symlinks=False). Raises an auditing event os.chmod with arguments path, mode, dir_... | |
doc_20384 | The prototype of create_user() should accept the username field, plus all required fields as arguments. For example, if your user model uses email as the username field, and has date_of_birth as a required field, then create_user should be defined as: def create_user(self, email, date_of_birth, password=None):
# cr... | |
doc_20385 |
Computes the Davies-Bouldin score. The score is defined as the average similarity measure of each cluster with its most similar cluster, where similarity is the ratio of within-cluster distances to between-cluster distances. Thus, clusters which are farther apart and less dispersed will result in a better score. The ... | |
doc_20386 |
Perform column-wise combine with another DataFrame. Combines a DataFrame with other DataFrame using func to element-wise combine columns. The row and column indexes of the resulting DataFrame will be the union of the two. Parameters
other:DataFrame
The DataFrame to merge column-wise.
func:function
Function ... | |
doc_20387 | See Migration guide for more details. tf.compat.v1.raw_ops.MatrixExponential
tf.raw_ops.MatrixExponential(
input, name=None
)
Args
input A Tensor. Must be one of the following types: float64, float32, half, complex64, complex128.
name A name for the operation (optional).
Returns A Tensor... | |
doc_20388 |
Set the JoinStyle for the collection (for all its elements). Parameters
jsJoinStyle or {'miter', 'round', 'bevel'} | |
doc_20389 | See Migration guide for more details. tf.compat.v1.raw_ops.TensorArraySizeV2
tf.raw_ops.TensorArraySizeV2(
handle, flow_in, name=None
)
Args
handle A Tensor of type string.
flow_in A Tensor of type float32.
name A name for the operation (optional).
Returns A Tensor of type int32. | |
doc_20390 |
Return the mutation scale. Returns
scalar | |
doc_20391 | See Migration guide for more details. tf.compat.v1.nn.ctc_greedy_decoder
tf.nn.ctc_greedy_decoder(
inputs, sequence_length, merge_repeated=True
)
Note: Regardless of the value of merge_repeated, if the maximum index of a given time and batch corresponds to the blank index (num_classes - 1), no new element is em... | |
doc_20392 | Play the SystemHand sound. | |
doc_20393 |
Row and column indices of the i’th bicluster. Only works if rows_ and columns_ attributes exist. Parameters
iint
The index of the cluster. Returns
row_indndarray, dtype=np.intp
Indices of rows in the dataset that belong to the bicluster.
col_indndarray, dtype=np.intp
Indices of columns in the datase... | |
doc_20394 |
Return str(self). | |
doc_20395 | A read-only description of the dialect in use by the writer. | |
doc_20396 | A file_dispatcher takes a file descriptor or file object along with an optional map argument and wraps it for use with the poll() or loop() functions. If provided a file object or anything with a fileno() method, that method will be called and passed to the file_wrapper constructor. Availability: Unix. | |
doc_20397 | Returns whether the kernel is defined on fixed-length feature vectors or generic objects. Defaults to True for backward compatibility. | |
doc_20398 |
Bases: matplotlib.projections.geo._GeoTransform The base Aitoff transform. Create a new geographical transform. Resolution is the number of steps to interpolate between each input line segment to approximate its path in curved space. has_inverse=True
True if this transform has a corresponding inverse transform.
... | |
doc_20399 | A string representing the (local or global) root, if any: >>> PureWindowsPath('c:/Program Files/').root
'\\'
>>> PureWindowsPath('c:Program Files/').root
''
>>> PurePosixPath('/etc').root
'/'
UNC shares always have a root: >>> PureWindowsPath('//host/share').root
'\\' |
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