_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_25400 | A generic version of collections.abc.Iterable. Deprecated since version 3.9: collections.abc.Iterable now supports []. See PEP 585 and Generic Alias Type. | |
doc_25401 |
Return the artist's zorder. | |
doc_25402 |
Set the artist's visibility. Parameters
bbool | |
doc_25403 | Resizes self sparse tensor to the desired size and the number of sparse and dense dimensions. Note If the number of specified elements in self is zero, then size, sparse_dim, and dense_dim can be any size and positive integers such that len(size) == sparse_dim +
dense_dim. If self specifies one or more elements, howev... | |
doc_25404 | Search for the object on multiple scales of input image. The function takes the input image, the scale factor by which the searching window is multiplied on each step, minimum window size and maximum window size that specify the interval for the search windows that are applied to the input image to detect objects. Par... | |
doc_25405 |
Find edges in an image using the Sobel filter. Parameters
imagearray
The input image.
maskarray of bool, optional
Clip the output image to this mask. (Values where mask=0 will be set to 0.)
axisint or sequence of int, optional
Compute the edge filter along this axis. If not provided, the edge magnitude ... | |
doc_25406 | Token value for "**=". | |
doc_25407 |
Multiply a Hermite series by x. Multiply the Hermite series c by x, where x is the independent variable. Parameters
carray_like
1-D array of Hermite series coefficients ordered from low to high. Returns
outndarray
Array representing the result of the multiplication. Notes The multiplication uses the... | |
doc_25408 | If the value has a name attribute, it is returned to unmodified. Otherwise the name, and the value with any CR or LF characters removed, are passed to the header_factory, and the resulting header object is returned. Any surrogateescaped bytes get turned into the unicode unknown-character glyph. | |
doc_25409 |
The hours of the datetime. Examples
>>> datetime_series = pd.Series(
... pd.date_range("2000-01-01", periods=3, freq="h")
... )
>>> datetime_series
0 2000-01-01 00:00:00
1 2000-01-01 01:00:00
2 2000-01-01 02:00:00
dtype: datetime64[ns]
>>> datetime_series.dt.hour
0 0
1 1
2 2
dtype: int64 | |
doc_25410 | Returns a copy of the compression object. This can be used to efficiently compress a set of data that share a common initial prefix. | |
doc_25411 |
Set the label for the x-axis. Parameters
xlabelstr
The label text.
labelpadfloat, default: rcParams["axes.labelpad"] (default: 4.0)
Spacing in points from the Axes bounding box including ticks and tick labels. If None, the previous value is left as is.
loc{'left', 'center', 'right'}, default: rcParams["xa... | |
doc_25412 |
A scatter plot of y vs. x with varying marker size and/or color. Parameters
x, yfloat or array-like, shape (n, )
The data positions.
sfloat or array-like, shape (n, ), optional
The marker size in points**2. Default is rcParams['lines.markersize'] ** 2.
carray-like or list of colors or color, optional
Th... | |
doc_25413 | See Migration guide for more details. tf.compat.v1.deserialize_many_sparse, tf.compat.v1.io.deserialize_many_sparse
tf.io.deserialize_many_sparse(
serialized_sparse, dtype, rank=None, name=None
)
The input serialized_sparse must be a string matrix of shape [N x 3] where N is the minibatch size and the rows corre... | |
doc_25414 |
Bases: matplotlib.backend_bases.RendererBase Implements a Renderer which contains another renderer. This proxy then intercepts draw calls, calling the appropriate AbstractPathEffect draw method. Note Not all methods have been overridden on this RendererBase subclass. It may be necessary to add further methods to ext... | |
doc_25415 | >>> np.nonzero(myarr == np.nan)
(array([], dtype=int64),)
>>> np.nan == np.nan # is always False! Use special numpy functions instead.
False
>>> myarr[myarr == np.nan] = 0. # doesn't work
>>> myarr
array([ 1., 0., NaN, 3.])
>>> myarr[np.isnan(myarr)] = 0. # use this instead find
>>> myarr
array([ 1., 0., 0., ... | |
doc_25416 |
Computes log probabilities for all n_classes\texttt{n\_classes} Parameters
input (Tensor) – a minibatch of examples Returns
log-probabilities of for each class cc in range 0<=c<=n_classes0 <= c <= \texttt{n\_classes} , where n_classes\texttt{n\_classes} is a parameter passed to AdaptiveLogSoftmaxWithLoss const... | |
doc_25417 | Creates a Tensor from a numpy.ndarray. The returned tensor and ndarray share the same memory. Modifications to the tensor will be reflected in the ndarray and vice versa. The returned tensor is not resizable. It currently accepts ndarray with dtypes of numpy.float64, numpy.float32, numpy.float16, numpy.complex64, numpy... | |
doc_25418 | Computes the eigenvalues of a complex Hermitian (or real symmetric) matrix input, or of each such matrix in a batched input. The eigenvalues are returned in ascending order. Since the matrix or matrices in input are assumed to be Hermitian, the imaginary part of their diagonals is always treated as zero. When UPLO is “... | |
doc_25419 |
Return a backend-specific tuple to return to the backend after all processing is done. | |
doc_25420 | Wrapper around a torch._C.Future which encapsulates an asynchronous execution of a callable, e.g. rpc_async(). It also exposes a set of APIs to add callback functions and set results.
add_done_callback(self: torch._C.Future, arg0: function) → None
done() [source]
Return True if this Future is done. A Future is ... | |
doc_25421 |
A decorator for a function indicating that the return value of the function is guaranteed to be a Future object and this function can run asynchronously on the RPC callee. More specifically, the callee extracts the Future returned by the wrapped function and installs subsequent processing steps as a callback to that ... | |
doc_25422 | bytearray.expandtabs(tabsize=8)
Return a copy of the sequence where all ASCII tab characters are replaced by one or more ASCII spaces, depending on the current column and the given tab size. Tab positions occur every tabsize bytes (default is 8, giving tab positions at columns 0, 8, 16 and so on). To expand the seque... | |
doc_25423 | Under Windows, this gives you the native Windows error code. The errno attribute is then an approximate translation, in POSIX terms, of that native error code. Under Windows, if the winerror constructor argument is an integer, the errno attribute is determined from the Windows error code, and the errno argument is igno... | |
doc_25424 | Return True if the Future was cancelled. The method is usually used to check if a Future is not cancelled before setting a result or an exception for it: if not fut.cancelled():
fut.set_result(42) | |
doc_25425 | By default, a ManyToManyField is displayed in the admin site with a <select multiple>. However, multiple-select boxes can be difficult to use when selecting many items. Adding a ManyToManyField to this list will instead use a nifty unobtrusive JavaScript “filter” interface that allows searching within the options. The ... | |
doc_25426 | Returns the log-transformed bounds on the theta. Returns
boundsndarray of shape (n_dims, 2)
The log-transformed bounds on the kernel’s hyperparameters theta | |
doc_25427 | readline.get_completer_delims()
Set or get the word delimiters for completion. These determine the start of the word to be considered for completion (the completion scope). These functions access the rl_completer_word_break_characters variable in the underlying library. | |
doc_25428 |
Bases: mpl_toolkits.axisartist.axislines.AxisArtistHelper.Fixed Helper class for a fixed axis. nth_coord = along which coordinate value varies.
nth_coord = 0 -> x axis, nth_coord = 1 -> y axis change_tick_coord(coord_number=None)[source]
[Deprecated] Notes Deprecated since version 3.5:
get_tick_iterato... | |
doc_25429 |
Performs inductive inference across the model. Parameters
Xarray-like of shape (n_samples, n_features)
The data matrix. Returns
yndarray of shape (n_samples,)
Predictions for input data. | |
doc_25430 | See Migration guide for more details. tf.compat.v1.math.segment_prod, tf.compat.v1.segment_prod
tf.math.segment_prod(
data, segment_ids, name=None
)
Read the section on segmentation for an explanation of segments. Computes a tensor such that \(output_i = \prod_j data_j\) where the product is over j such that seg... | |
doc_25431 | A Popen creationflags parameter to specify that a new process group will be created. This flag is necessary for using os.kill() on the subprocess. This flag is ignored if CREATE_NEW_CONSOLE is specified. | |
doc_25432 | See Migration guide for more details. tf.compat.v1.keras.models.model_from_config
tf.keras.models.model_from_config(
config, custom_objects=None
)
Usage: # for a Functional API model
tf.keras.Model().from_config(model.get_config())
# for a Sequential model
tf.keras.Sequential().from_config(model.get_config())
... | |
doc_25433 | See Migration guide for more details. tf.compat.v1.linalg.lu_matrix_inverse
tf.linalg.lu_matrix_inverse(
lower_upper, perm, validate_args=False, name=None
)
This op is conceptually identical to, inv_X = tf.lu_matrix_inverse(*tf.linalg.lu(X))
tf.assert_near(tf.matrix_inverse(X), inv_X)
# ==> True
Note: this fun... | |
doc_25434 |
Attach the plugin to an ImageViewer. Note that the ImageViewer will automatically call this method when the plugin is added to the ImageViewer. For example: viewer += Plugin(...)
Also note that attach automatically calls the filter function so that the image matches the filtered value specified by attached widgets. | |
doc_25435 | Abstract. Returns the complex conjugate. For example, (1+3j).conjugate()
== (1-3j). | |
doc_25436 |
Quadratic Discriminant Analysis A classifier with a quadratic decision boundary, generated by fitting class conditional densities to the data and using Bayes’ rule. The model fits a Gaussian density to each class. New in version 0.17: QuadraticDiscriminantAnalysis Read more in the User Guide. Parameters
priorsn... | |
doc_25437 |
Bases: list A list with a short repr(). This is meant to be used for a homogeneous list of artists, so that they don't cause long, meaningless output. Instead of [<matplotlib.lines.Line2D object at 0x7f5749fed3c8>,
<matplotlib.lines.Line2D object at 0x7f5749fed4e0>,
<matplotlib.lines.Line2D object at 0x7f5758016550... | |
doc_25438 |
Pickle (serialize) object to file. Parameters
path:str
File path where the pickled object will be stored.
compression:str or dict, default ‘infer’
For on-the-fly compression of the output data. If ‘infer’ and ‘path’ path-like, then detect compression from the following extensions: ‘.gz’, ‘.bz2’, ‘.zip’, ‘.x... | |
doc_25439 | In-place version of renorm() | |
doc_25440 |
Return a components namedtuple-like. | |
doc_25441 | A dictionary-like object containing all given HTTP POST parameters, providing that the request contains form data. See the QueryDict documentation below. If you need to access raw or non-form data posted in the request, access this through the HttpRequest.body attribute instead. It’s possible that a request can come in... | |
doc_25442 | tf.compat.v1.initializers.lecun_normal(
seed=None
)
It draws samples from a truncated normal distribution centered on 0 with standard deviation (after truncation) given by stddev = sqrt(1 / fan_in) where fan_in is the number of input units in the weight tensor.
Arguments
seed A Python integer. Used to see... | |
doc_25443 | tf.losses.deserialize Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.losses.deserialize
tf.keras.losses.deserialize(
name, custom_objects=None
)
Arguments
name Loss configuration.
custom_objects Optional dictionary mapping names (strings) to custom objects (c... | |
doc_25444 | '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_25445 | tf.compat.v1.keras.experimental.export_saved_model(
model, saved_model_path, custom_objects=None, as_text=False,
input_signature=None, serving_only=False
)
Note that at this time, subclassed models can only be saved using serving_only=True. The exported SavedModel is a standalone serialization of Tensorflow ob... | |
doc_25446 | Exception raised for programming errors, e.g. table not found or already exists, syntax error in the SQL statement, wrong number of parameters specified, etc. It is a subclass of DatabaseError. | |
doc_25447 | Write audio frames and make sure nframes is correct. It will raise an error if the output stream is not seekable and the total number of frames that have been written after data has been written does not match the previously set value for nframes. Changed in version 3.4: Any bytes-like object is now accepted. | |
doc_25448 |
Predict class log-probabilities for X. The predicted class log-probabilities of an input sample is computed as the log of the mean predicted class probabilities of the trees in the forest. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
The input samples. Internally, its dtype will be c... | |
doc_25449 |
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_25450 | See Migration guide for more details. tf.compat.v1.image.rot90
tf.image.rot90(
image, k=1, name=None
)
For example:
a=tf.constant([[[1],[2]],
[[3],[4]]])
# rotating `a` counter clockwise by 90 degrees
a_rot=tf.image.rot90(a)
print(a_rot[...,0].numpy())
[[2 4]
[1 3]]
# rotating `a` counter clockw... | |
doc_25451 |
USERNAME_FIELD
A string describing the name of the field on the user model that is used as the unique identifier. This will usually be a username of some kind, but it can also be an email address, or any other unique identifier. The field must be unique (i.e., have unique=True set in its definition), unless you use... | |
doc_25452 | Computes and returns a Point guaranteed to be on the interior of this geometry. | |
doc_25453 | Gets the data for the specified type from the clipboard. get(type) -> bytes or str or None Retrieves the data for the specified type from the clipboard. In python 3 the data is returned as a byte string and might need further processing (such as decoding to Unicode).
Parameters:
type (string) -- data type to re... | |
doc_25454 |
Compute the skeleton of a binary image. Thinning is used to reduce each connected component in a binary image to a single-pixel wide skeleton. Parameters
imagendarray, 2D or 3D
A binary image containing the objects to be skeletonized. Zeros represent background, nonzero values are foreground. Returns
skel... | |
doc_25455 | A class attribute that denotes the number of arguments the function accepts. If this attribute is set and the function is called with a different number of expressions, TypeError will be raised. Defaults to None. | |
doc_25456 | Return True if the argument is a signaling NaN and False otherwise. | |
doc_25457 | See torch.tan() | |
doc_25458 | Unpacks and returns a fixed length string. n is the number of characters expected. Padding with null bytes to guaranteed 4 byte alignment is assumed. | |
doc_25459 | Creates a StreamReaderWriter instance. stream must be a file-like object. Reader and Writer must be factory functions or classes providing the StreamReader and StreamWriter interface resp. Error handling is done in the same way as defined for the stream readers and writers. | |
doc_25460 | Return a string representing the time, controlled by an explicit format string. For a complete list of formatting directives, see strftime() and strptime() Behavior. | |
doc_25461 |
Make a large circle containing a smaller circle in 2d. A simple toy dataset to visualize clustering and classification algorithms. Read more in the User Guide. Parameters
n_samplesint or tuple of shape (2,), dtype=int, default=100
If int, it is the total number of points generated. For odd numbers, the inner ci... | |
doc_25462 | User ID of the user who originally stored this member. | |
doc_25463 | Overridable interface to open unknown URL types. | |
doc_25464 | Wait until process pid completes and check that the process exit code is exitcode. Raise an AssertionError if the process exit code is not equal to exitcode. If the process runs longer than timeout seconds (SHORT_TIMEOUT by default), kill the process and raise an AssertionError. The timeout feature is not available on ... | |
doc_25465 | See Migration guide for more details. tf.compat.v1.raw_ops.BatchNormWithGlobalNormalization
tf.raw_ops.BatchNormWithGlobalNormalization(
t, m, v, beta, gamma, variance_epsilon, scale_after_normalization, name=None
)
This op is deprecated. Prefer tf.nn.batch_normalization.
Args
t A Tensor. Must be one of... | |
doc_25466 | sklearn.metrics.dcg_score(y_true, y_score, *, k=None, log_base=2, sample_weight=None, ignore_ties=False) [source]
Compute Discounted Cumulative Gain. Sum the true scores ranked in the order induced by the predicted scores, after applying a logarithmic discount. This ranking metric yields a high value if true labels a... | |
doc_25467 | See Migration guide for more details. tf.compat.v1.raw_ops.BatchMatrixDiag
tf.raw_ops.BatchMatrixDiag(
diagonal, name=None
)
Args
diagonal A Tensor.
name A name for the operation (optional).
Returns A Tensor. Has the same type as diagonal. | |
doc_25468 | Call the Template object’s render() method with a Context to “fill” the template: >>> from django.template import Context, Template
>>> template = Template("My name is {{ my_name }}.")
>>> context = Context({"my_name": "Adrian"})
>>> template.render(context)
"My name is Adrian."
>>> context = Context({"my_name": "Dol... | |
doc_25469 | Iterator Arguments Results Example
count() start, [step] start, start+step, start+2*step, … count(10) --> 10 11 12 13 14 ...
cycle() p p0, p1, … plast, p0, p1, … cycle('ABCD') --> A B C D A B C D ...
repeat() elem [,n] elem, elem, elem, … endlessly or up to n times repeat(10, 3) --> 10 10 10 Iterators terminat... | |
doc_25470 | Determine whether code is in tableC.1.2 (Non-ASCII space characters). | |
doc_25471 |
Holds parameters in a dictionary. ParameterDict can be indexed like a regular Python dictionary, but parameters it contains are properly registered, and will be visible by all Module methods. ParameterDict is an ordered dictionary that respects the order of insertion, and in update(), the order of the merged Ordered... | |
doc_25472 |
Return the largest n elements. Parameters
n:int, default 5
Return this many descending sorted values.
keep:{‘first’, ‘last’, ‘all’}, default ‘first’
When there are duplicate values that cannot all fit in a Series of n elements: first : return the first n occurrences in order of appearance. last : return th... | |
doc_25473 | This method allows you to compare two Header instances for equality. | |
doc_25474 |
Return the group id. | |
doc_25475 | Total size of memory blocks in bytes in the new snapshot (int): 0 if the memory blocks have been released in the new snapshot. | |
doc_25476 |
Set multiple properties at once. Supported properties are
Property Description
adjustable {'box', 'datalim'}
agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array
alpha scalar or None
anchor (float, float) or {'C', 'SW', 'S', 'SE', 'E', 'NE', ...}... | |
doc_25477 | See Migration guide for more details. tf.compat.v1.raw_ops.ScatterNdNonAliasingAdd
tf.raw_ops.ScatterNdNonAliasingAdd(
input, indices, updates, name=None
)
from updates according to indices indices. The updates are non-aliasing: input is only modified in-place if no other operations will use it. Otherwise, a cop... | |
doc_25478 |
Return the day of the year. This attribute returns the day of the year on which the particular date occurs. The return value ranges between 1 to 365 for regular years and 1 to 366 for leap years. Returns
int
The day of year. See also Period.day
Return the day of the month. Period.day_of_week
Return the d... | |
doc_25479 | Returns an iterator over immediate children modules, yielding both the name of the module as well as the module itself. Yields
(string, Module) – Tuple containing a name and child module Example: >>> for name, module in model.named_children():
>>> if name in ['conv4', 'conv5']:
>>> print(module) | |
doc_25480 | Reverse the elements of the deque in-place and then return None. New in version 3.2. | |
doc_25481 | Availability: BSD, OSX. New in version 3.4. | |
doc_25482 | tf.nn.max_pool_with_argmax(
input, ksize, strides, padding, data_format='NHWC',
output_dtype=tf.dtypes.int64, include_batch_in_index=False, name=None
)
The indices in argmax are flattened, so that a maximum value at position [b, y, x, c] becomes flattened index: (y * width + x) * channels + c if include_batch_... | |
doc_25483 | The maximum number of headers of this type that can have the same name. A value of None means unlimited. The BaseHeader value for this attribute is None; it is expected that specialized header classes will override this value as needed. | |
doc_25484 | converts midi events to pygame events midis2events(midi_events, device_id) -> [Event, ...] Takes a sequence of midi events and returns list of pygame events. The midi_events data is expected to be a sequence of ((status, data1, data2, data3), timestamp) midi events (all values required).
Returns:
a list of pygam... | |
doc_25485 | See Migration guide for more details. tf.compat.v1.raw_ops.AccumulatorSetGlobalStep
tf.raw_ops.AccumulatorSetGlobalStep(
handle, new_global_step, name=None
)
Logs warning if the accumulator's value is already higher than new_global_step.
Args
handle A Tensor of type mutable string. The handle to an accu... | |
doc_25486 | class sklearn.exceptions.DataConversionWarning [source]
Warning used to notify implicit data conversions happening in the code. This warning occurs when some input data needs to be converted or interpreted in a way that may not match the user’s expectations. For example, this warning may occur when the user
passes... | |
doc_25487 | See Migration guide for more details. tf.compat.v1.raw_ops.ResourceSparseApplyAdagradDA
tf.raw_ops.ResourceSparseApplyAdagradDA(
var, gradient_accumulator, gradient_squared_accumulator, grad, indices, lr, l1,
l2, global_step, use_locking=False, name=None
)
Args
var A Tensor of type resource. Should ... | |
doc_25488 |
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_25489 |
Enable interactive mode. See pyplot.isinteractive for more details. See also ioff
Disable interactive mode. isinteractive
Whether interactive mode is enabled. show
Show all figures (and maybe block). pause
Show all figures, and block for a time. Notes For a temporary change, this can be used as a context ... | |
doc_25490 | Raised when a generator or coroutine is closed; see generator.close() and coroutine.close(). It directly inherits from BaseException instead of Exception since it is technically not an error. | |
doc_25491 | True if the address is allocated for private networks. See iana-ipv4-special-registry (for IPv4) or iana-ipv6-special-registry (for IPv6). | |
doc_25492 |
Evaluate a 3-D polynomial on the Cartesian product of x, y and z. This function returns the values: \[p(a,b,c) = \sum_{i,j,k} c_{i,j,k} * a^i * b^j * c^k\] where the points (a, b, c) consist of all triples formed by taking a from x, b from y, and c from z. The resulting points form a grid with x in the first dimensi... | |
doc_25493 |
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_25494 |
Get the artist's bounding box in display space. The bounding box' width and height are nonnegative. Subclasses should override for inclusion in the bounding box "tight" calculation. Default is to return an empty bounding box at 0, 0. Be careful when using this function, the results will not update if the artist windo... | |
doc_25495 | See Migration guide for more details. tf.compat.v1.raw_ops.Mod
tf.raw_ops.Mod(
x, y, name=None
)
the result here is consistent with a truncating divide. E.g. tf.truncatediv(x, y) * y + truncate_mod(x, y) = x.
Note: Mod supports broadcasting. More about broadcasting here
Args
x A Tensor. Must be one of... | |
doc_25496 | Calls get() on a given model manager, but it raises Http404 instead of the model’s DoesNotExist exception. | |
doc_25497 |
Roll provided date backward to next offset only if not on offset. | |
doc_25498 | Saves a new file with the file name and contents provided. This will not replace the existing file, but will create a new file and update the object to point to it. If save is True, the model’s save() method will be called once the file is saved. That is, these two lines: >>> car.photo.save('myphoto.jpg', content, save... | |
doc_25499 | Control whether the cookie is sent with every response when session.permanent is true. Sending the cookie every time (the default) can more reliably keep the session from expiring, but uses more bandwidth. Non-permanent sessions are not affected. Default: True |
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