_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_1400 | Return a new view of the dictionary’s values. See the documentation of view objects. An equality comparison between one dict.values() view and another will always return False. This also applies when comparing dict.values() to itself: >>> d = {'a': 1}
>>> d.values() == d.values()
False | |
doc_1401 |
Alias for set_fontstretch. | |
doc_1402 |
Set the vertices of the polygon. Parameters
xy(N, 2) array-like
The coordinates of the vertices. Notes Unlike Path, we do not ignore the last input vertex. If the polygon is meant to be closed, and the last point of the polygon is not equal to the first, we assume that the user has not explicitly passed a C... | |
doc_1403 | Return a frame object from the call stack. If optional integer depth is given, return the frame object that many calls below the top of the stack. If that is deeper than the call stack, ValueError is raised. The default for depth is zero, returning the frame at the top of the call stack. Raises an auditing event sys._g... | |
doc_1404 |
Bind function func to event s. Parameters
sstr
One of the following events ids: 'button_press_event' 'button_release_event' 'draw_event' 'key_press_event' 'key_release_event' 'motion_notify_event' 'pick_event' 'resize_event' 'scroll_event' 'figure_enter_event', 'figure_leave_event', 'axes_enter_event', 'axes_l... | |
doc_1405 |
Find artist objects. Recursively find all Artist instances contained in the artist. Parameters
match
A filter criterion for the matches. This can be
None: Return all objects contained in artist. A function with signature def match(artist: Artist) -> bool. The result will only contain artists for which the funct... | |
doc_1406 | Pop an item from the dict. | |
doc_1407 |
Set the canvas that contains the figure Parameters
canvasFigureCanvas | |
doc_1408 | class sklearn.random_projection.SparseRandomProjection(n_components='auto', *, density='auto', eps=0.1, dense_output=False, random_state=None) [source]
Reduce dimensionality through sparse random projection. Sparse random matrix is an alternative to dense random projection matrix that guarantees similar embedding qua... | |
doc_1409 | See Migration guide for more details. tf.compat.v1.app.flags.EnumParser
tf.compat.v1.flags.EnumParser(
enum_values, case_sensitive=True
)
Args
enum_values [str], a non-empty list of string values in the enum.
case_sensitive bool, whether or not the enum is to be case-sensitive.
Raises
Va... | |
doc_1410 | Return True if the symbol is created from an import statement. | |
doc_1411 |
[Deprecated] Notes Deprecated since version 3.5: | |
doc_1412 | See Migration guide for more details. tf.compat.v1.raw_ops.MultiDeviceIteratorToStringHandle
tf.raw_ops.MultiDeviceIteratorToStringHandle(
multi_device_iterator, name=None
)
Args
multi_device_iterator A Tensor of type resource. A MultiDeviceIterator resource.
name A name for the operation (optiona... | |
doc_1413 |
Flush the GUI events for the figure. Interactive backends need to reimplement this method. | |
doc_1414 |
Performs DBSCAN extraction for an arbitrary epsilon. Extracting the clusters runs in linear time. Note that this results in labels_ which are close to a DBSCAN with similar settings and eps, only if eps is close to max_eps. Parameters
reachabilityarray of shape (n_samples,)
Reachability distances calculated by ... | |
doc_1415 |
Draw samples from a noncentral chi-square distribution. The noncentral \(\chi^2\) distribution is a generalization of the \(\chi^2\) distribution. Parameters
dffloat or array_like of floats
Degrees of freedom, must be > 0. Changed in version 1.10.0: Earlier NumPy versions required dfnum > 1.
noncfloat or ar... | |
doc_1416 |
Sets whether PyTorch operations must use “deterministic” algorithms. That is, algorithms which, given the same input, and when run on the same software and hardware, always produce the same output. When True, operations will use deterministic algorithms when available, and if only nondeterministic algorithms are avai... | |
doc_1417 | 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. | |
doc_1418 | This is similar to str.format(), except that it is appropriate for building up HTML fragments. All args and kwargs are passed through conditional_escape() before being passed to str.format(). For the case of building up small HTML fragments, this function is to be preferred over string interpolation using % or str.form... | |
doc_1419 | tf.compat.v1.keras.layers.LSTM(
units, activation='tanh',
recurrent_activation='hard_sigmoid', use_bias=True,
kernel_initializer='glorot_uniform',
recurrent_initializer='orthogonal',
bias_initializer='zeros', unit_forget_bias=True,
kernel_regularizer=None, recurrent_regularizer=None, bias_regula... | |
doc_1420 | Start a new thread and return its identifier. The thread executes the function function with the argument list args (which must be a tuple). The optional kwargs argument specifies a dictionary of keyword arguments. When the function returns, the thread silently exits. When the function terminates with an unhandled exce... | |
doc_1421 | start time of a cdrom track get_track_start(track) -> seconds Return the absolute time in seconds where at start of the cdrom track. Note, track 0 is the first track on the CD. Track numbers start at zero. | |
doc_1422 | Return an iterator object. The object is required to support the iterator protocol described below. If a container supports different types of iteration, additional methods can be provided to specifically request iterators for those iteration types. (An example of an object supporting multiple forms of iteration would ... | |
doc_1423 | Returns the value specified for option in style. If state is specified, it is expected to be a sequence of one or more states. If the default argument is set, it is used as a fallback value in case no specification for option is found. To check what font a Button uses by default: from tkinter import ttk
print(ttk.Styl... | |
doc_1424 | Returns the current value of the configuration option given by option. Option may be any of the configuration options. | |
doc_1425 | This property returns the data for this BoundField extracted by the widget’s value_from_datadict() method, or None if it wasn’t given: >>> unbound_form = ContactForm()
>>> print(unbound_form['subject'].data)
None
>>> bound_form = ContactForm(data={'subject': 'My Subject'})
>>> print(bound_form['subject'].data)
My Subje... | |
doc_1426 |
Return whether the artist is animated. | |
doc_1427 | Installs activation scripts appropriate to the platform into the virtual environment. | |
doc_1428 | math.ceil(x)
Return the ceiling of x, the smallest integer greater than or equal to x. If x is not a float, delegates to x.__ceil__(), which should return an Integral value.
math.comb(n, k)
Return the number of ways to choose k items from n items without repetition and without order. Evaluates to n! / (k! * (n ... | |
doc_1429 | Given a Tensor quantized by linear (affine) per-channel quantization, returns the index of dimension on which per-channel quantization is applied. | |
doc_1430 | Return the set of valid signal numbers on this platform. This can be less than range(1, NSIG) if some signals are reserved by the system for internal use. New in version 3.8. | |
doc_1431 | See Migration guide for more details. tf.compat.v1.raw_ops.Reciprocal
tf.raw_ops.Reciprocal(
x, name=None
)
I.e., \(y = 1 / x\).
Args
x A Tensor. Must be one of the following types: bfloat16, half, float32, float64, int8, int16, int32, int64, complex64, complex128.
name A name for the operation (o... | |
doc_1432 | A legacy method for finding a loader for the specified module. If this is a top-level import, path will be None. Otherwise, this is a search for a subpackage or module and path will be the value of __path__ from the parent package. If a loader cannot be found, None is returned. If find_spec() is defined, backwards-comp... | |
doc_1433 |
Compute the balanced accuracy. The balanced accuracy in binary and multiclass classification problems to deal with imbalanced datasets. It is defined as the average of recall obtained on each class. The best value is 1 and the worst value is 0 when adjusted=False. Read more in the User Guide. New in version 0.20. ... | |
doc_1434 | Return True if it is a hard link. | |
doc_1435 |
[Deprecated] Notes Deprecated since version 3.5: | |
doc_1436 |
Resample time-series data. Convenience method for frequency conversion and resampling of time series. The object must have a datetime-like index (DatetimeIndex, PeriodIndex, or TimedeltaIndex), or the caller must pass the label of a datetime-like series/index to the on/level keyword parameter. Parameters
rule:Dat... | |
doc_1437 | Execute the SQL query of the view, through MSIViewExecute(). If params is not None, it is a record describing actual values of the parameter tokens in the query. | |
doc_1438 | In-place version of digamma() | |
doc_1439 |
async def tcp_echo_client(message):
reader, writer = await asyncio.open_connection(
'127.0.0.1', 8888)
print(f'Send: {message!r}')
writer.write(message.encode())
await writer.drain()
data = await reader.read(100)
print(f'Received: {data.decode()!r}')
print('Close the connection')... | |
doc_1440 | Decorator for skipping tests if gzip doesn’t exist. | |
doc_1441 |
Set the zorder for the artist. Artists with lower zorder values are drawn first. Parameters
levelfloat | |
doc_1442 | Registers a backward hook on the module. The hook will be called every time the gradients with respect to module inputs are computed. The hook should have the following signature: hook(module, grad_input, grad_output) -> tuple(Tensor) or None
The grad_input and grad_output are tuples that contain the gradients with re... | |
doc_1443 | Return an instance of the test result class that should be used for this test case class (if no other result instance is provided to the run() method). For TestCase instances, this will always be an instance of TestResult; subclasses of TestCase should override this as necessary. | |
doc_1444 |
Return the default fill value for the argument object. The default filling value depends on the datatype of the input array or the type of the input scalar:
datatype default
bool True
int 999999
float 1.e20
complex 1.e20+0j
object ‘?’
string ‘N/A’ For structured types, a structured scalar is returne... | |
doc_1445 |
Check whether module is pruned by looking for forward_pre_hooks in its modules that inherit from the BasePruningMethod. Parameters
module (nn.Module) – object that is either pruned or unpruned Returns
binary answer to whether module is pruned. Examples >>> m = nn.Linear(5, 7)
>>> print(prune.is_pruned(m))
False... | |
doc_1446 | Return e raised to the power x, where e = 2.718281… is the base of natural logarithms. This is usually more accurate than math.e ** x or pow(math.e, x). | |
doc_1447 |
Returns the greatest common divisor of |x1| and |x2| Parameters
x1, x2array_like, int
Arrays of values. If x1.shape != x2.shape, they must be broadcastable to a common shape (which becomes the shape of the output). Returns
yndarray or scalar
The greatest common divisor of the absolute value of the input... | |
doc_1448 | This content manager provides only a minimum interface beyond that provided by Message itself: it deals only with text, raw byte strings, and Message objects. Nevertheless, it provides significant advantages compared to the base API: get_content on a text part will return a unicode string without the application needin... | |
doc_1449 |
Return the height of the rectangle. | |
doc_1450 |
Draw samples from a Rayleigh distribution. The \(\chi\) and Weibull distributions are generalizations of the Rayleigh. Parameters
scalefloat or array_like of floats, optional
Scale, also equals the mode. Must be non-negative. Default is 1.
sizeint or tuple of ints, optional
Output shape. If the given shape ... | |
doc_1451 | See Migration guide for more details. tf.compat.v1.estimator.LogisticRegressionHead
tf.estimator.LogisticRegressionHead(
weight_column=None, loss_reduction=losses_utils.ReductionV2.SUM_OVER_BATCH_SIZE,
name=None
)
Uses sigmoid_cross_entropy_with_logits loss, which is the same as BinaryClassHead. The differen... | |
doc_1452 |
A compatibility alias for tobytes, with exactly the same behavior. Despite its name, it returns bytes not strs. Deprecated since version 1.19.0. | |
doc_1453 | Mapping class that references keys weakly. Entries in the dictionary will be discarded when there is no longer a strong reference to the key. This can be used to associate additional data with an object owned by other parts of an application without adding attributes to those objects. This can be especially useful with... | |
doc_1454 | Create a new WSGI environ dict based on the values passed. The first parameter should be the path of the request which defaults to ‘/’. The second one can either be an absolute path (in that case the host is localhost:80) or a full path to the request with scheme, netloc port and the path to the script. This accepts th... | |
doc_1455 |
Load and return the breast cancer wisconsin dataset (classification). The breast cancer dataset is a classic and very easy binary classification dataset.
Classes 2
Samples per class 212(M),357(B)
Samples total 569
Dimensionality 30
Features real, positive Read more in the User Guide. Parameters
return... | |
doc_1456 |
Set the markevery property to subsample the plot when using markers. e.g., if every=5, every 5-th marker will be plotted. Parameters
everyNone or int or (int, int) or slice or list[int] or float or (float, float) or list[bool]
Which markers to plot.
every=None: every point will be plotted.
every=N: every N-t... | |
doc_1457 |
Insert scalar into an array (scalar is cast to array’s dtype, if possible) There must be at least 1 argument, and define the last argument as item. Then, a.itemset(*args) is equivalent to but faster than a[args] = item. The item should be a scalar value and args must select a single item in the array a. Parameters
... | |
doc_1458 | Return True if the string ends with the specified suffix, otherwise return False. suffix can also be a tuple of suffixes to look for. With optional start, test beginning at that position. With optional end, stop comparing at that position. | |
doc_1459 | Difference of number of memory blocks between the old and the new snapshots (int): 0 if the memory blocks have been allocated in the new snapshot. | |
doc_1460 | Allow an application to set the locale for errors and warnings. SAX parsers are not required to provide localization for errors and warnings; if they cannot support the requested locale, however, they must raise a SAX exception. Applications may request a locale change in the middle of a parse. | |
doc_1461 | tf.compat.v1.metrics.recall(
labels, predictions, weights=None, metrics_collections=None,
updates_collections=None, name=None
)
The recall function creates two local variables, true_positives and false_negatives, that are used to compute the recall. This value is ultimately returned as recall, an idempotent op... | |
doc_1462 | Construct a StackSummary object from a supplied list of FrameSummary objects or old-style list of tuples. Each tuple should be a 4-tuple with filename, lineno, name, line as the elements. | |
doc_1463 | Return True if automatic collection is enabled. | |
doc_1464 |
Fit the model according to the given training data and parameters. Changed in version 0.19: store_covariances has been moved to main constructor as store_covariance Changed in version 0.19: tol has been moved to main constructor. Parameters
Xarray-like of shape (n_samples, n_features)
Training vector, where... | |
doc_1465 | Returns True if semaphore can not be acquired immediately. | |
doc_1466 | sklearn.datasets.make_friedman1(n_samples=100, n_features=10, *, noise=0.0, random_state=None) [source]
Generate the “Friedman #1” regression problem. This dataset is described in Friedman [1] and Breiman [2]. Inputs X are independent features uniformly distributed on the interval [0, 1]. The output y is created acco... | |
doc_1467 | The version string of the OpenSSL library loaded by the interpreter: >>> ssl.OPENSSL_VERSION
'OpenSSL 1.0.2k 26 Jan 2017'
New in version 3.2. | |
doc_1468 | Create an object used to boxcar method calls. server is the eventual target of the call. Calls can be made to the result object, but they will immediately return None, and only store the call name and parameters in the MultiCall object. Calling the object itself causes all stored calls to be transmitted as a single sys... | |
doc_1469 |
The differences between consecutive elements of an array. Parameters
aryarray_like
If necessary, will be flattened before the differences are taken.
to_endarray_like, optional
Number(s) to append at the end of the returned differences.
to_beginarray_like, optional
Number(s) to prepend at the beginning o... | |
doc_1470 | Called on listening channels (passive openers) when a connection can be established with a new remote endpoint that has issued a connect() call for the local endpoint. Deprecated in version 3.2; use handle_accepted() instead. Deprecated since version 3.2. | |
doc_1471 | Axes(*args[, grid_helper]) Build an Axes in a figure.
AxesZero(*args[, grid_helper]) Build an Axes in a figure.
AxisArtistHelper() AxisArtistHelper should define following method with given APIs. Note that the first axes argument will be axes attribute of the caller artist.::.
AxisArtistHelperRectlinear()
Grid... | |
doc_1472 |
Reduces the tensor data across all machines in such a way that all get the final result. After the call tensor is going to be bitwise identical in all processes. Complex tensors are supported. Parameters
tensor (Tensor) – Input and output of the collective. The function operates in-place.
op (optional) – One of ... | |
doc_1473 | Make an entry into the EventMapping table for this control. | |
doc_1474 |
Round an array to the given number of decimals. See also around
equivalent function; see for details. | |
doc_1475 | This is the base class for exceptions raised by the Parser class. It is derived from MessageError. This class is also used internally by the parser used by headerregistry. | |
doc_1476 | class sklearn.naive_bayes.ComplementNB(*, alpha=1.0, fit_prior=True, class_prior=None, norm=False) [source]
The Complement Naive Bayes classifier described in Rennie et al. (2003). The Complement Naive Bayes classifier was designed to correct the “severe assumptions” made by the standard Multinomial Naive Bayes class... | |
doc_1477 |
Return vertical sizes. | |
doc_1478 | See Migration guide for more details. tf.compat.v1.saved_model.signature_def_utils.predict_signature_def
tf.compat.v1.saved_model.predict_signature_def(
inputs, outputs
)
This function produces signatures intended for use with the TensorFlow Serving Predict API (tensorflow_serving/apis/prediction_service.proto).... | |
doc_1479 | Map character sets to their email properties. This class provides information about the requirements imposed on email for a specific character set. It also provides convenience routines for converting between character sets, given the availability of the applicable codecs. Given a character set, it will do its best to ... | |
doc_1480 | Tix maintains a list of directories under which the tix_getimage() and tix_getbitmap() methods will search for image files. The standard bitmap directory is $TIX_LIBRARY/bitmaps. The tix_addbitmapdir() method adds directory into this list. By using this method, the image files of an applications can also be located usi... | |
doc_1481 | Send a pickled byte-string to a socket. The format of the sent byte-string is as described in the documentation for SocketHandler.makePickle(). | |
doc_1482 |
Return handles and labels for legend ax.legend() is equivalent to h, l = ax.get_legend_handles_labels()
ax.legend(h, l)
Examples using matplotlib.axes.Axes.get_legend_handles_labels
Legend guide | |
doc_1483 | See Migration guide for more details. tf.compat.v1.experimental.function_executor_type
@tf_contextlib.contextmanager
tf.experimental.function_executor_type(
executor_type
)
Eager defined functions are functions decorated by tf.contrib.eager.defun.
Args
executor_type a string for the name of the executor... | |
doc_1484 |
Fit the hierarchical clustering from features or distance matrix, and return cluster labels. Parameters
Xarray-like of shape (n_samples, n_features) or (n_samples, n_samples)
Training instances to cluster, or distances between instances if affinity='precomputed'.
yIgnored
Not used, present here for API cons... | |
doc_1485 | Convert sound fragments in u-LAW encoding to linearly encoded sound fragments. u-LAW encoding always uses 8 bits samples, so width refers only to the sample width of the output fragment here. | |
doc_1486 |
Get Bbox of the path. Parameters
transformmatplotlib.transforms.Transform, optional
Transform to apply to path before computing extents, if any. **kwargs
Forwarded to iter_bezier. Returns
matplotlib.transforms.Bbox
The extents of the path Bbox([[xmin, ymin], [xmax, ymax]]) | |
doc_1487 |
The week ordinal of the year. Deprecated since version 1.1.0. weekofyear and week have been deprecated. Please use DatetimeIndex.isocalendar().week instead. | |
doc_1488 | Return immediately, allowing sounds to play asynchronously. | |
doc_1489 | Returns the given text with ampersands, quotes and angle brackets encoded for use in HTML. The input is first coerced to a string and the output has mark_safe() applied. | |
doc_1490 |
Generate synthetic binary image with several rounded blob-like objects. Parameters
lengthint, optional
Linear size of output image.
blob_size_fractionfloat, optional
Typical linear size of blob, as a fraction of length, should be smaller than 1.
n_dimint, optional
Number of dimensions of output image. ... | |
doc_1491 | Takes the power of each element in input with exponent and returns a tensor with the result. exponent can be either a single float number or a Tensor with the same number of elements as input. When exponent is a scalar value, the operation applied is: outi=xiexponent\text{out}_i = x_i ^ \text{exponent}
When exponent... | |
doc_1492 | Default return value for get_permission_denied_message(). Defaults to an empty string. | |
doc_1493 | Registry entries subordinate to this key define the default user configuration for new users on the local computer and the user configuration for the current user. | |
doc_1494 | tf.compat.v1.distributions.kl_divergence(
distribution_a, distribution_b, allow_nan_stats=True, name=None
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed after 2019-01-01. Instructions for updating: The TensorFlow Distributions library has moved to TensorFlow Probability (https://github.com/tensorflow/p... | |
doc_1495 |
[Deprecated] Get the subplot geometry, e.g., (2, 2, 3). Notes Deprecated since version 3.4. | |
doc_1496 |
Predict the closest cluster each sample in X belongs to. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
New data to predict. Returns
labelsndarray of shape (n_samples,)
Index of the cluster each sample belongs to. | |
doc_1497 | Called when the test case test is about to be run. | |
doc_1498 | Extract all members from the archive to the current working directory. path specifies a different directory to extract to. members is optional and must be a subset of the list returned by namelist(). pwd is the password used for encrypted files. Warning Never extract archives from untrusted sources without prior inspe... | |
doc_1499 | Device inode resides on. |
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