_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_21900 |
Count occurrences of pattern in each string of the Series/Index. This function is used to count the number of times a particular regex pattern is repeated in each of the string elements of the Series. Parameters
pat:str
Valid regular expression.
flags:int, default 0, meaning no flags
Flags for the re module... | |
doc_21901 |
Abstract class for invertable transformations with computable log det jacobians. They are primarily used in torch.distributions.TransformedDistribution. Caching is useful for transforms whose inverses are either expensive or numerically unstable. Note that care must be taken with memoized values since the autograd gr... | |
doc_21902 | Identical to the unpack() function, using the compiled format. The buffer’s size in bytes must equal size. | |
doc_21903 | Parameter arg should be a key-to-message mapping or an iterable of (key, message) pairs. Updates the mailbox so that, for each given key and message, the message corresponding to key is set to message as if by using __setitem__(). As with __setitem__(), each key must already correspond to a message in the mailbox or el... | |
doc_21904 |
Return the cumulative product of the elements along the given axis. Refer to numpy.cumprod for full documentation. See also numpy.cumprod
equivalent function | |
doc_21905 | The admin interface has the ability to edit models on the same page as a parent model. These are called inlines. Suppose you have these two models: from django.db import models
class Author(models.Model):
name = models.CharField(max_length=100)
class Book(models.Model):
author = models.ForeignKey(Author, on_del... | |
doc_21906 |
Number each item in each group from 0 to the length of that group - 1. Essentially this is equivalent to
self.apply(lambda x: pd.Series(np.arange(len(x)), x.index))
Parameters
ascending:bool, default True
If False, number in reverse, from length of group - 1 to 0. Returns
Series
Sequence number of each... | |
doc_21907 |
Plot Receiver operating characteristic (ROC) curve. Extra keyword arguments will be passed to matplotlib’s plot. Read more in the User Guide. Parameters
estimatorestimator instance
Fitted classifier or a fitted Pipeline in which the last estimator is a classifier.
X{array-like, sparse matrix} of shape (n_samp... | |
doc_21908 | Return the Gamma function at x. New in version 3.2. | |
doc_21909 | An abstract base class for asyncio policies.
get_event_loop()
Get the event loop for the current context. Return an event loop object implementing the AbstractEventLoop interface. This method should never return None. Changed in version 3.6.
set_event_loop(loop)
Set the event loop for the current context to... | |
doc_21910 | Return True if all cased characters 4 in the string are uppercase and there is at least one cased character, False otherwise. >>> 'BANANA'.isupper()
True
>>> 'banana'.isupper()
False
>>> 'baNana'.isupper()
False
>>> ' '.isupper()
False | |
doc_21911 |
Bases: matplotlib.ticker.Locator Tick at every integer mapping of the string data. Parameters
units_mappingdict
Mapping of category names (str) to indices (int). tick_values(vmin, vmax)[source]
Return the values of the located ticks given vmin and vmax. Note To get tick locations with the vmin and vmax... | |
doc_21912 | Controls where on the page the actions bar appears. By default, the admin changelist displays actions at the top of the page (actions_on_top = True;
actions_on_bottom = False). | |
doc_21913 | Deletes the test cookie. Use this to clean up after yourself. | |
doc_21914 |
Alias for set_linestyle. | |
doc_21915 | assertNotRegex(text, regex, msg=None)
Test that a regex search matches (or does not match) text. In case of failure, the error message will include the pattern and the text (or the pattern and the part of text that unexpectedly matched). regex may be a regular expression object or a string containing a regular expres... | |
doc_21916 | modify the pitch of a channel. set_instrument(value=0, channel=0) -> None Adjust the pitch of a channel. The value is a signed integer from -8192 to +8191. For example, 0 means "no change", +4096 is typically a semitone higher, and -8192 is 1 whole tone lower (though the musical range corresponding to the pitch bend ... | |
doc_21917 | Returns True if the request Accept header matches the mime_type argument: >>> request.accepts('text/html')
True
Most browsers send Accept: */* by default, so this would return True for all content types. Setting an explicit Accept header in API requests can be useful for returning a different content type for those co... | |
doc_21918 |
Context manager for setting print options. Set print options for the scope of the with block, and restore the old options at the end. See set_printoptions for the full description of available options. See also
set_printoptions, get_printoptions
Examples >>> from numpy.testing import assert_equal
>>> with np.pr... | |
doc_21919 | Returns the set of permission strings the user_obj has, including both user permissions and group permissions. Returns an empty set if is_anonymous or is_active is False. | |
doc_21920 | class ast.USub
class ast.Not
class ast.Invert
Unary operator tokens. Not is the not keyword, Invert is the ~ operator. >>> print(ast.dump(ast.parse('not x', mode='eval'), indent=4))
Expression(
body=UnaryOp(
op=Not(),
operand=Name(id='x', ctx=Load()))) | |
doc_21921 |
Add an edge between u and v while updating max node id. See also networkx.Graph.add_edge(). | |
doc_21922 |
Compute luminance of an RGB image. Parameters
rgb(…, 3) array_like
The image in RGB format. Final dimension denotes channels. Returns
outndarray
The luminance image - an array which is the same size as the input array, but with the channel dimension removed. Raises
ValueError
If rgb is not at leas... | |
doc_21923 | The DndHandler class handles drag-and-drop events tracking Motion and ButtonRelease events on the root of the event widget.
cancel(event=None)
Cancel the drag-and-drop process.
finish(event, commit=0)
Execute end of drag-and-drop functions.
on_motion(event)
Inspect area below mouse for target objects wh... | |
doc_21924 |
Group the index labels by a given array of values. Parameters
values:array
Values used to determine the groups. Returns
dict
{group name -> group labels} | |
doc_21925 | It requires no arguments at time of construction. However, you can use keyword arguments to specify some default headers. For example, this will send a User-Agent HTTP header in each request: >>> c = Client(HTTP_USER_AGENT='Mozilla/5.0')
The values from the extra keyword arguments passed to get(), post(), etc. have pr... | |
doc_21926 | See Migration guide for more details. tf.compat.v1.keras.layers.ReLU
tf.keras.layers.ReLU(
max_value=None, negative_slope=0, threshold=0, **kwargs
)
With default values, it returns element-wise max(x, 0). Otherwise, it follows: f(x) = max_value if x >= max_value
f(x) = x if threshold <= x < max_value
f(x) = nega... | |
doc_21927 |
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_21928 | See Migration guide for more details. tf.compat.v1.raw_ops.Shape
tf.raw_ops.Shape(
input, out_type=tf.dtypes.int32, name=None
)
This operation returns a 1-D integer tensor representing the shape of input. For example: # 't' is [[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]]
shape(t) ==> [2, 2, 3]
Args
i... | |
doc_21929 | Toggle the selection state of each item in items. Changed in version 3.6: items can be passed as separate arguments, not just as a single tuple. | |
doc_21930 |
For baseclass, do nothing but collect events. | |
doc_21931 |
Return the alpha value used for blending - not supported on all backends. | |
doc_21932 | Similar to the guess_type() function, using the tables stored as part of the object. | |
doc_21933 |
Loads the schedulers state. When saving or loading the scheduler, please make sure to also save or load the state of the optimizer. Parameters
state_dict (dict) – scheduler state. Should be an object returned from a call to state_dict(). | |
doc_21934 | Special value that can be used as the stdin, stdout or stderr argument to Popen and indicates that the special file os.devnull will be used. New in version 3.3. | |
doc_21935 | operator.__index__(a)
Return a converted to an integer. Equivalent to a.__index__(). | |
doc_21936 |
Return a random sample of items from an axis of object. You can use random_state for reproducibility. Parameters
n:int, optional
Number of items from axis to return. Cannot be used with frac. Default = 1 if frac = None.
frac:float, optional
Fraction of axis items to return. Cannot be used with n.
replace:... | |
doc_21937 | For complex tensors, this function returns a new tensor whose elemants have the same angle as that of the elements of input and absolute value 1. For a non-complex tensor, this function returns the signs of the elements of input (see torch.sign()). outi=0\text{out}_{i} = 0 , if ∣inputi∣==0|{\text{{input}}_i}| == 0 out... | |
doc_21938 |
Attributes
key string key
value Checker value | |
doc_21939 | test if the Overlay is hardware accelerated get_hardware(rect) -> int Returns a True value when the Overlay is hardware accelerated. If the platform does not support acceleration, software rendering is used. | |
doc_21940 | operator.__and__(a, b)
Return the bitwise and of a and b. | |
doc_21941 | Resolve a name to an object. This functionality is used in numerous places in the standard library (see bpo-12915) - and equivalent functionality is also in widely used third-party packages such as setuptools, Django and Pyramid. It is expected that name will be a string in one of the following formats, where W is shor... | |
doc_21942 | See torch.addcdiv() | |
doc_21943 |
Returns tensor containing all values supported by a discrete distribution. The result will enumerate over dimension 0, so the shape of the result will be (cardinality,) + batch_shape + event_shape (where event_shape = () for univariate distributions). Note that this enumerates over all batched tensors in lock-step [[... | |
doc_21944 | Return an attribute value as a node, given a namespaceURI and localName. | |
doc_21945 |
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_21946 | convert a color into a mapped color value map_rgb(Color) -> mapped_int Convert an RGBA color into the mapped integer value for this Surface. The returned integer will contain no more bits than the bit depth of the Surface. Mapped color values are not often used inside pygame, but can be passed to most functions that ... | |
doc_21947 | The Content-Type entity-header field indicates the media type of the entity-body sent to the recipient or, in the case of the HEAD method, the media type that would have been sent had the request been a GET. | |
doc_21948 | A buffered binary stream providing higher-level access to a seekable RawIOBase raw binary stream. It inherits BufferedReader and BufferedWriter. The constructor creates a reader and writer for a seekable raw stream, given in the first argument. If the buffer_size is omitted it defaults to DEFAULT_BUFFER_SIZE. BufferedR... | |
doc_21949 |
Add a param group to the Optimizer s param_groups. This can be useful when fine tuning a pre-trained network as frozen layers can be made trainable and added to the Optimizer as training progresses. Parameters
param_group (dict) – Specifies what Tensors should be optimized along with group
optimization options. ... | |
doc_21950 |
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. See also
hermadd, hermsub, her... | |
doc_21951 | Base class for creating enumerated constants that are also subclasses of int. | |
doc_21952 | Returns the number of non-fixed hyperparameters of the kernel. | |
doc_21953 |
Set multiple properties at once. Supported properties are
Property Description
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
animated bool
bbox_to_anchor unknown
child unknown
clip_box Bbox
clip_on bool
clip_pa... | |
doc_21954 | os.MFD_ALLOW_SEALING
os.MFD_HUGETLB
os.MFD_HUGE_SHIFT
os.MFD_HUGE_MASK
os.MFD_HUGE_64KB
os.MFD_HUGE_512KB
os.MFD_HUGE_1MB
os.MFD_HUGE_2MB
os.MFD_HUGE_8MB
os.MFD_HUGE_16MB
os.MFD_HUGE_32MB
os.MFD_HUGE_256MB
os.MFD_HUGE_512MB
os.MFD_HUGE_1GB
os.MFD_HUGE_2GB
os.MFD_HUGE_16GB
These flags can... | |
doc_21955 | The request was not successfully authenticated, and the highest priority authentication class does not use WWW-Authenticate headers. — An HTTP 403 Forbidden response will be returned.
The request was not successfully authenticated, and the highest priority authentication class does use WWW-Authenticate headers. — An ... | |
doc_21956 | See Migration guide for more details. tf.compat.v1.raw_ops.StatelessRandomUniformFullInt
tf.raw_ops.StatelessRandomUniformFullInt(
shape, seed, dtype=tf.dtypes.uint64, name=None
)
The generated values are uniform integers covering the whole range of dtype. The outputs are a deterministic function of shape and se... | |
doc_21957 |
A byte string. When used in arrays, this type strips trailing null bytes. Character code
'S' Alias
numpy.string_ | |
doc_21958 | Call open() with method set to GET. Parameters
args (Any) –
kw (Any) – Return type
werkzeug.test.TestResponse | |
doc_21959 | readline.get_endidx()
Get the beginning or ending index of the completion scope. These indexes are the start and end arguments passed to the rl_attempted_completion_function callback of the underlying library. | |
doc_21960 | Return a copy of the array. Parameters
order{‘C’, ‘F’, ‘A’, ‘K’}, optional
Controls the memory layout of the copy. ‘C’ means C-order, ‘F’ means F-order, ‘A’ means ‘F’ if a is Fortran contiguous, ‘C’ otherwise. ‘K’ means match the layout of a as closely as possible. (Note that this function and numpy.copy are ve... | |
doc_21961 |
Add text to the plot. kwargs will be passed on to Axes.text, except for the zdir keyword, which sets the direction to be used as the z direction. | |
doc_21962 |
Chebyshev points of the second kind. The Chebyshev points of the second kind are the points cos(x), where x = [pi*k/(npts - 1) for k in range(npts)]. Parameters
nptsint
Number of sample points desired. Returns
ptsndarray
The Chebyshev points of the second kind. Notes New in version 1.5.0. | |
doc_21963 | See Migration guide for more details. tf.compat.v1.cumprod, tf.compat.v1.math.cumprod
tf.math.cumprod(
x, axis=0, exclusive=False, reverse=False, name=None
)
By default, this op performs an inclusive cumprod, which means that the first element of the input is identical to the first element of the output: tf.math... | |
doc_21964 | Round away from zero. | |
doc_21965 |
Bases: object A simple pyparsing-based parser for fontconfig patterns. parse(pattern)[source]
Parse the given fontconfig pattern and return a dictionary of key/value pairs useful for initializing a font_manager.FontProperties object.
matplotlib.fontconfig_pattern.family_escape(/, repl, string, count=0)
Re... | |
doc_21966 | where θ\theta are the parameters, α\alpha is the learning rate, rr is the reward and p(a∣πθ(s))p(a|\pi^\theta(s)) is the probability of taking action aa in state ss given policy πθ\pi^\theta . In practice we would sample an action from the output of a network, apply this action in an environment, and then use log... | |
doc_21967 |
Return the offsets for the collection. | |
doc_21968 |
Applies Batch Normalization over a N-Dimensional input (a mini-batch of [N-2]D inputs with additional channel dimension) as described in the paper Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift . y=x−E[x]Var[x]+ϵ∗γ+βy = \frac{x - \mathrm{E}[x]}{ \sqrt{\mathrm{Var}[x] + \... | |
doc_21969 | This method checks if there is a breakpoint in the filename of the current frame. | |
doc_21970 |
Set the relative widths of the columns. width_ratios must be of length ncols. Each column gets a relative width of width_ratios[i] / sum(width_ratios). | |
doc_21971 | tf.nn.swish Compat aliases for migration See Migration guide for more details. tf.compat.v1.nn.silu, tf.compat.v1.nn.swish
tf.nn.silu(
features
)
The SiLU activation function was introduced in "Gaussian Error Linear Units (GELUs)" Hendrycks et al. 2016 and "Sigmoid-Weighted Linear Units for Neural Network Functi... | |
doc_21972 | Called when the test case test signals a failure. err is a tuple of the form returned by sys.exc_info(): (type, value, traceback). The default implementation appends a tuple (test, formatted_err) to the instance’s failures attribute, where formatted_err is a formatted traceback derived from err. | |
doc_21973 | The binary representation of this address - a bytes object of the appropriate length (most significant octet first). This is 4 bytes for IPv4 and 16 bytes for IPv6. | |
doc_21974 | See torch.addmm() | |
doc_21975 |
A dict mapping from style name to RcParams defining that style. This is meant to be read-only. Use reload_library to update. | |
doc_21976 | This attribute is a tuple (possibly of length 1) of generic types passed to the original __class_getitem__() of the generic container: >>> dict[str, list[int]].__args__
(<class 'str'>, list[int]) | |
doc_21977 | bytearray.rstrip([chars])
Return a copy of the sequence with specified trailing bytes removed. The chars argument is a binary sequence specifying the set of byte values to be removed - the name refers to the fact this method is usually used with ASCII characters. If omitted or None, the chars argument defaults to rem... | |
doc_21978 |
A decision tree classifier. Read more in the User Guide. Parameters
criterion{“gini”, “entropy”}, default=”gini”
The function to measure the quality of a split. Supported criteria are “gini” for the Gini impurity and “entropy” for the information gain.
splitter{“best”, “random”}, default=”best”
The strategy... | |
doc_21979 | operator.le(a, b)
operator.eq(a, b)
operator.ne(a, b)
operator.ge(a, b)
operator.gt(a, b)
operator.__lt__(a, b)
operator.__le__(a, b)
operator.__eq__(a, b)
operator.__ne__(a, b)
operator.__ge__(a, b)
operator.__gt__(a, b)
Perform “rich comparisons” between a and b. Specifically, lt(a, b) is equiva... | |
doc_21980 | Return True if all characters in the string are printable or the string is empty, False otherwise. Nonprintable characters are those characters defined in the Unicode character database as “Other” or “Separator”, excepting the ASCII space (0x20) which is considered printable. (Note that printable characters in this con... | |
doc_21981 |
Returns a clone of self with given hyperparameters theta. Parameters
thetandarray of shape (n_dims,)
The hyperparameters | |
doc_21982 | Match test to patterns set in set_match_tests(). | |
doc_21983 | Body-encode the string string. The type of encoding (base64 or quoted-printable) will be based on the body_encoding attribute. | |
doc_21984 | class sklearn.cluster.OPTICS(*, min_samples=5, max_eps=inf, metric='minkowski', p=2, metric_params=None, cluster_method='xi', eps=None, xi=0.05, predecessor_correction=True, min_cluster_size=None, algorithm='auto', leaf_size=30, n_jobs=None) [source]
Estimate clustering structure from vector array. OPTICS (Ordering P... | |
doc_21985 |
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_21986 | In-place version of lgamma() | |
doc_21987 |
Convert angles from radians to degrees. Parameters
xarray_like
Input array in radians.
outndarray, None, or tuple of ndarray and None, optional
A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is re... | |
doc_21988 | bytearray.removeprefix(prefix, /)
If the binary data starts with the prefix string, return bytes[len(prefix):]. Otherwise, return a copy of the original binary data: >>> b'TestHook'.removeprefix(b'Test')
b'Hook'
>>> b'BaseTestCase'.removeprefix(b'Test')
b'BaseTestCase'
The prefix may be any bytes-like object. Note ... | |
doc_21989 |
Perform DBSCAN clustering from vector array or distance matrix. DBSCAN - Density-Based Spatial Clustering of Applications with Noise. Finds core samples of high density and expands clusters from them. Good for data which contains clusters of similar density. Read more in the User Guide. Parameters
epsfloat, defau... | |
doc_21990 | See Migration guide for more details. tf.compat.v1.raw_ops.MatrixDiag
tf.raw_ops.MatrixDiag(
diagonal, name=None
)
Given a diagonal, this operation returns a tensor with the diagonal and everything else padded with zeros. The diagonal is computed as follows: Assume diagonal has k dimensions [I, J, K, ..., N], th... | |
doc_21991 |
Peak-to-peak (maximum - minimum) value along the given axis. Refer to numpy.ptp for full documentation. See also numpy.ptp
Notes Same as ndarray.ptp, except, where that would return an ndarray object, this returns a matrix object. Examples >>> x = np.matrix(np.arange(12).reshape((3,4))); x
matrix([[ 0, 1, 2, 3... | |
doc_21992 |
Set whether the legend box patch is drawn. Parameters
bbool | |
doc_21993 |
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_21994 |
Set multiple properties at once. Supported properties are
Property Description
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
animated bool
clip_box Bbox
clip_on bool
clip_path Patch or (Path, Transform) or None
f... | |
doc_21995 |
Return the label position (top or bottom) | |
doc_21996 |
Set the snap setting which may be: True: snap vertices to the nearest pixel center False: leave vertices as-is None: (auto) If the path contains only rectilinear line segments, round to the nearest pixel center | |
doc_21997 |
Set the x, y and z data Parameters
xarray-like
The x-data to be plotted.
yarray-like
The y-data to be plotted.
zarray-like
The z-data to be plotted. Notes Accepts x, y, z arguments or a single array-like (x, y, z) | |
doc_21998 |
Returns the quotient and remainder of polynomial division. Note This forms part of the old polynomial API. Since version 1.4, the new polynomial API defined in numpy.polynomial is preferred. A summary of the differences can be found in the transition guide. The input arrays are the coefficients (including any coeff... | |
doc_21999 | Contains the command (request type). For example, 'GET'. |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.