_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_26600 | Return the day of the week as an integer, where Monday is 0 and Sunday is 6. The same as self.date().weekday(). See also isoweekday(). | |
doc_26601 |
Compute k-means clustering. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
Training instances to cluster. It must be noted that the data will be converted to C ordering, which will cause a memory copy if the given data is not C-contiguous. If a sparse matrix is passed, a copy will be m... | |
doc_26602 | Creates the form data parser. Instantiates the form_data_parser_class with some parameters. Changelog New in version 0.8. Return type
werkzeug.formparser.FormDataParser | |
doc_26603 |
Decorator indicating that passing parameter name (or any of the following ones) positionally to func is being deprecated. When used on a method that has a pyplot wrapper, this should be the outermost decorator, so that boilerplate.py can access the original signature. | |
doc_26604 |
Bases: matplotlib.patches.ArrowStyle._Curve An arrow with an outward square bracket at its start and a head at the end. Parameters
widthAfloat, default: 1.0
Width of the bracket.
lengthAfloat, default: 0.2
Length of the bracket.
angleAfloat, default: 0 degrees
Orientation of the bracket, as a counterclo... | |
doc_26605 | The number of capturing groups in the pattern. | |
doc_26606 | Set the interpreter’s thread switch interval (in seconds). This floating-point value determines the ideal duration of the “timeslices” allocated to concurrently running Python threads. Please note that the actual value can be higher, especially if long-running internal functions or methods are used. Also, which thread ... | |
doc_26607 | See Migration guide for more details. tf.compat.v1.data.experimental.shuffle_and_repeat
tf.data.experimental.shuffle_and_repeat(
buffer_size, count=None, seed=None
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use tf.data.Dataset.shuffle(buffer_size, s... | |
doc_26608 |
Provide the rank of values within each group. Parameters
method:{‘average’, ‘min’, ‘max’, ‘first’, ‘dense’}, default ‘average’
average: average rank of group. min: lowest rank in group. max: highest rank in group. first: ranks assigned in order they appear in the array. dense: like ‘min’, but rank always incre... | |
doc_26609 |
Return whether units are set on any axis. | |
doc_26610 | Returns True if the data type of self is a complex data type. | |
doc_26611 |
Compute ranking-based average precision. Label ranking average precision (LRAP) is the average over each ground truth label assigned to each sample, of the ratio of true vs. total labels with lower score. This metric is used in multilabel ranking problem, where the goal is to give better rank to the labels associated... | |
doc_26612 |
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_26613 |
To initialize a distance object, pass in a keyword corresponding to the desired unit attribute name set with desired value. For example, the following creates a distance object representing 5 miles: >>> dist = Distance(mi=5)
__getattr__(unit_att)
Returns the distance value in units corresponding to the given uni... | |
doc_26614 |
Mask corresponding to a flood fill. Starting at a specific seed_point, connected points equal or within tolerance of the seed value are found. Parameters
imagendarray
An n-dimensional array.
seed_pointtuple or int
The point in image used as the starting point for the flood fill. If the image is 1D, this poi... | |
doc_26615 | The Tree widget can be used to display hierarchical data in a tree form. The user can adjust the view of the tree by opening or closing parts of the tree. | |
doc_26616 |
Return the url. | |
doc_26617 | The scroll bar widget. | |
doc_26618 | '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_26619 | See Migration guide for more details. tf.compat.v1.raw_ops.RandomDataset
tf.raw_ops.RandomDataset(
seed, seed2, output_types, output_shapes, name=None
)
Creates a Dataset that returns a stream of uniformly distributed pseudorandom 64-bit signed integers. In the TensorFlow Python API, you can instantiate this dat... | |
doc_26620 | This method serves the 'POST' request type, only allowed for CGI scripts. Error 501, “Can only POST to CGI scripts”, is output when trying to POST to a non-CGI url. | |
doc_26621 | Return non-zero if the mode is from a FIFO (named pipe). | |
doc_26622 | Push ch so the next getch() will return it. Note Only one ch can be pushed before getch() is called. | |
doc_26623 | Called by Flask.register_blueprint() to register all views and callbacks registered on the blueprint with the application. Creates a BlueprintSetupState and calls each record() callbackwith it. Parameters
app (Flask) – The application this blueprint is being registered with.
options (dict) – Keyword arguments forw... | |
doc_26624 |
Bases: matplotlib.patches.Patch A general polycurve path patch. path is a Path object. Valid keyword arguments 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 unknown
animated bool
antialiased or aa bool or No... | |
doc_26625 | Concatenates a sequence of tensors along a new dimension. All tensors need to be of the same size. Parameters
tensors (sequence of Tensors) – sequence of tensors to concatenate
dim (int) – dimension to insert. Has to be between 0 and the number of dimensions of concatenated tensors (inclusive) Keyword Arguments ... | |
doc_26626 |
Alias for set_linestyle. | |
doc_26627 | Returns the list of elementname’s options. | |
doc_26628 | Decode an Intel/DVI ADPCM coded fragment to a linear fragment. See the description of lin2adpcm() for details on ADPCM coding. Return a tuple (sample, newstate) where the sample has the width specified in width. | |
doc_26629 | Returns a new tensor with the logit of the elements of input. input is clamped to [eps, 1 - eps] when eps is not None. When eps is None and input < 0 or input > 1, the function will yields NaN. yi=ln(zi1−zi)zi={xiif eps is Noneepsif xi<epsxiif eps≤xi≤1−eps1−epsif xi>1−epsy_{i} = \ln(\frac{z_{i}}{1 - z_{i}}) \\ z_{i} ... | |
doc_26630 | tf.experimental.numpy.atleast_2d(
*arys
)
See the NumPy documentation for numpy.atleast_2d. | |
doc_26631 |
The number of input dimensions of this transform. Must be overridden (with integers) in the subclass. | |
doc_26632 |
Augment dataset with an additional dummy feature. This is useful for fitting an intercept term with implementations which cannot otherwise fit it directly. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
Data.
valuefloat
Value to use for the dummy feature. Returns
X{ndarray, s... | |
doc_26633 |
Set the (group) id for the artist. Parameters
gidstr | |
doc_26634 |
Add text to the Axes. Add the text s to the Axes at location x, y in data coordinates. Parameters
x, yfloat
The position to place the text. By default, this is in data coordinates. The coordinate system can be changed using the transform parameter.
sstr
The text.
fontdictdict, default: None
A dictionary... | |
doc_26635 | The flag is set when the code object is a nested function. | |
doc_26636 | socket.PF_RDS
socket.SOL_RDS
RDS_*
Many constants of these forms, documented in the Linux documentation, are also defined in the socket module. Availability: Linux >= 2.6.30. New in version 3.3. | |
doc_26637 | mmap.MADV_RANDOM
mmap.MADV_SEQUENTIAL
mmap.MADV_WILLNEED
mmap.MADV_DONTNEED
mmap.MADV_REMOVE
mmap.MADV_DONTFORK
mmap.MADV_DOFORK
mmap.MADV_HWPOISON
mmap.MADV_MERGEABLE
mmap.MADV_UNMERGEABLE
mmap.MADV_SOFT_OFFLINE
mmap.MADV_HUGEPAGE
mmap.MADV_NOHUGEPAGE
mmap.MADV_DONTDUMP
mmap.MADV_DODUMP
m... | |
doc_26638 |
Return the Discrete Fourier Transform sample frequencies (for usage with rfft, irfft). The returned float array f contains the frequency bin centers in cycles per unit of the sample spacing (with zero at the start). For instance, if the sample spacing is in seconds, then the frequency unit is cycles/second. Given a w... | |
doc_26639 | See Migration guide for more details. tf.compat.v1.train.Features
Attributes
feature repeated FeatureEntry feature Child Classes class FeatureEntry | |
doc_26640 |
When the “multi_index” flag was specified, this removes it, allowing the internal iteration structure to be optimized further. | |
doc_26641 |
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 unknown
animated bool
antialiased bool or None
capstyle CapStyle or {'butt', 'projecting', 'round'}
clip... | |
doc_26642 | Get the value of an attribute if it is present, otherwise set and return a default value. Like dict.setdefault(). Parameters
name (str) – Name of attribute to get.
default (Optional[Any]) – Value to set and return if the attribute is not present. Return type
Any Changelog New in version 0.11. | |
doc_26643 | msvcrt.LK_NBRLCK
Locks the specified bytes. If the bytes cannot be locked, OSError is raised. | |
doc_26644 |
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_26645 |
Alias for get_edgecolor. | |
doc_26646 | base64.b64encode(s, altchars=None)
Encode the bytes-like object s using Base64 and return the encoded bytes. Optional altchars must be a bytes-like object of at least length 2 (additional characters are ignored) which specifies an alternative alphabet for the + and / characters. This allows an application to e.g. gen... | |
doc_26647 | Returns the length scale | |
doc_26648 |
Set the radial gridlines on a polar plot. Parameters
radiituple with floats
The radii for the radial gridlines
labelstuple with strings or None
The labels to use at each radial gridline. The matplotlib.ticker.ScalarFormatter will be used if None.
anglefloat
The angular position of the radius labels in d... | |
doc_26649 | If tzinfo is None, returns None, else returns self.tzinfo.tzname(self), raises an exception if the latter doesn’t return None or a string object, | |
doc_26650 | '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_26651 |
Multiply a polynomial by x. Multiply the polynomial c by x, where x is the independent variable. Parameters
carray_like
1-D array of polynomial coefficients ordered from low to high. Returns
outndarray
Array representing the result of the multiplication. See also
polyadd, polysub, polymul, polydi... | |
doc_26652 | See Migration guide for more details. tf.compat.v1.raw_ops.Mfcc
tf.raw_ops.Mfcc(
spectrogram, sample_rate, upper_frequency_limit=4000, lower_frequency_limit=20,
filterbank_channel_count=40, dct_coefficient_count=13, name=None
)
Mel Frequency Cepstral Coefficients are a way of representing audio data that's b... | |
doc_26653 |
Set the normalization instance. Parameters
normNormalize or None
Notes If there are any colorbars using the mappable for this norm, setting the norm of the mappable will reset the norm, locator, and formatters on the colorbar to default. | |
doc_26654 |
Check if coefficients match. New in version 1.6.0. Parameters
otherclass instance
The other class must have the coef attribute. Returns
boolboolean
True if the coefficients are the same, False otherwise. | |
doc_26655 | A C14N 2.0 writer. Arguments are the same as for the canonicalize() function. This class does not build a tree but translates the callback events directly into a serialised form using the write function. New in version 3.8. | |
doc_26656 | A mixin class that provides facilities for creating and displaying forms. Mixins django.views.generic.base.ContextMixin Methods and Attributes
initial
A dictionary containing initial data for the form.
form_class
The form class to instantiate.
success_url
The URL to redirect to when the form is succes... | |
doc_26657 | class sklearn.linear_model.TweedieRegressor(*, power=0.0, alpha=1.0, fit_intercept=True, link='auto', max_iter=100, tol=0.0001, warm_start=False, verbose=0) [source]
Generalized Linear Model with a Tweedie distribution. This estimator can be used to model different GLMs depending on the power parameter, which determi... | |
doc_26658 |
The masked constant is a special case of MaskedArray, with a float datatype and a null shape. It is used to test whether a specific entry of a masked array is masked, or to mask one or several entries of a masked array: >>> x = ma.array([1, 2, 3], mask=[0, 1, 0])
>>> x[1] is ma.masked
True
>>> x[-1] = ma.masked
>>> x... | |
doc_26659 |
Evaluate a polynomial at points x. If c is of length n + 1, this function returns the value \[p(x) = c_0 + c_1 * x + ... + c_n * x^n\] The parameter x is converted to an array only if it is a tuple or a list, otherwise it is treated as a scalar. In either case, either x or its elements must support multiplication an... | |
doc_26660 |
Compute Receiver operating characteristic (ROC). Note: this implementation is restricted to the binary classification task. Read more in the User Guide. Parameters
y_truendarray of shape (n_samples,)
True binary labels. If labels are not either {-1, 1} or {0, 1}, then pos_label should be explicitly given.
y_s... | |
doc_26661 | If distinct=True, Avg returns the mean value of unique values. This is the SQL equivalent of AVG(DISTINCT <field>). The default value is False. | |
doc_26662 | See Migration guide for more details. tf.compat.v1.math.l2_normalize, tf.compat.v1.nn.l2_normalize
tf.compat.v1.linalg.l2_normalize(
x, axis=None, epsilon=1e-12, name=None, dim=None
)
Warning: SOME ARGUMENTS ARE DEPRECATED: (dim). They will be removed in a future version. Instructions for updating: dim is deprec... | |
doc_26663 |
Applies SoftMax over features to each spatial location. When given an image of Channels x Height x Width, it will apply Softmax to each location (Channels,hi,wj)(Channels, h_i, w_j) Shape:
Input: (N,C,H,W)(N, C, H, W)
Output: (N,C,H,W)(N, C, H, W) (same shape as input) Returns
a Tensor of the same dimensi... | |
doc_26664 | Performs a matrix multiplication of the sparse matrix input with the dense matrix mat. Parameters
input (Tensor) – a sparse matrix to be matrix multiplied
mat (Tensor) – a dense matrix to be matrix multiplied | |
doc_26665 | Return (xmin, xmax, ymin, ymax). | |
doc_26666 |
Set the y-axis scale. Parameters
value{"linear", "log", "symlog", "logit", ...} or ScaleBase
The axis scale type to apply. **kwargs
Different keyword arguments are accepted, depending on the scale. See the respective class keyword arguments: matplotlib.scale.LinearScale matplotlib.scale.LogScale matplotlib.s... | |
doc_26667 |
Applies the Gaussian Error Linear Units function: GELU(x)=x∗Φ(x)\text{GELU}(x) = x * \Phi(x)
where Φ(x)\Phi(x) is the Cumulative Distribution Function for Gaussian Distribution. Shape:
Input: (N,∗)(N, *) where * means, any number of additional dimensions Output: (N,∗)(N, *) , same shape as the input Examp... | |
doc_26668 | An HTTPConnection instance represents one transaction with an HTTP server. It should be instantiated passing it a host and optional port number. If no port number is passed, the port is extracted from the host string if it has the form host:port, else the default HTTP port (80) is used. If the optional timeout paramete... | |
doc_26669 | email.parser: Parsing email messages FeedParser API Parser API Additional notes email.generator: Generating MIME documents email.policy: Policy Objects email.errors: Exception and Defect classes email.headerregistry: Custom Header Objects
email.contentmanager: Managing MIME Content Content Manager Instances email:... | |
doc_26670 | Timeout in seconds to detect when a test hangs. It is long enough to reduce the risk of test failure on the slowest Python buildbots. It should not be used to mark a test as failed if the test takes “too long”. The timeout value depends on the regrtest --timeout command line option. Its default value is 5 minutes. See ... | |
doc_26671 |
Numerical positive, element-wise. New in version 1.13.0. Parameters
xarray_like or scalar
Input array. Returns
yndarray or scalar
Returned array or scalar: y = +x. This is a scalar if x is a scalar. Notes Equivalent to x.copy(), but only defined for types that support arithmetic. Examples >>> x1 =... | |
doc_26672 |
Rotate image by a certain angle around its center. Parameters
imagendarray
Input image.
anglefloat
Rotation angle in degrees in counter-clockwise direction.
resizebool, optional
Determine whether the shape of the output image will be automatically calculated, so the complete rotated image exactly fits. ... | |
doc_26673 | The base class of the other exceptions in this module. It is a subclass of Exception. | |
doc_26674 | Encode bytes-like object s using the URL- and filesystem-safe alphabet, which substitutes - instead of + and _ instead of / in the standard Base64 alphabet, and return the encoded bytes. The result can still contain =. | |
doc_26675 | Disassemble the top-of-stack function of a traceback, using the last traceback if none was passed. The instruction causing the exception is indicated. The disassembly is written as text to the supplied file argument if provided and to sys.stdout otherwise. Changed in version 3.4: Added file parameter. | |
doc_26676 |
Interchange axes and swap values axes appropriately. Returns
y:same as input | |
doc_26677 | Get a format string for time.strftime() to represent date and time in a locale-specific era-based way. | |
doc_26678 |
Set the artist offset transform. Parameters
transOffsetTransform | |
doc_26679 | sklearn.metrics.pairwise.linear_kernel(X, Y=None, dense_output=True) [source]
Compute the linear kernel between X and Y. Read more in the User Guide. Parameters
Xndarray of shape (n_samples_X, n_features)
Yndarray of shape (n_samples_Y, n_features), default=None
dense_outputbool, default=True
Whether to ret... | |
doc_26680 |
Remove latex formatting from mathtext. Only handles fully math and fully non-math strings. | |
doc_26681 | Compute the 32bit murmurhash3 of key at seed. The underlying implementation is MurmurHash3_x86_32 generating low latency 32bits hash suitable for implementing lookup tables, Bloom filters, count min sketch or feature hashing. Parameters
keynp.int32, bytes, unicode or ndarray of dtype=np.int32
The physical object ... | |
doc_26682 | Unpacks and returns a list of homogeneous items. The list is unpacked one element at a time by first unpacking an unsigned integer flag. If the flag is 1, then the item is unpacked and appended to the list. A flag of 0 indicates the end of the list. unpack_item is the function that is called to unpack the items. | |
doc_26683 | Converts a midi note to a frequency. midi_to_frequency(midi_note) -> frequency example: midi_to_frequency(21) == 27.5 New in pygame 1.9.5. | |
doc_26684 |
Attributes
key string key
value AttrValue value | |
doc_26685 | add the sprite to groups add(*groups) -> None Any number of Group instances can be passed as arguments. The Sprite will be added to the Groups it is not already a member of. | |
doc_26686 |
Return whether the artist is to be rasterized. | |
doc_26687 |
Bases: object Handle registering, processing, blocking, and disconnecting for a set of signals and callbacks: >>> def oneat(x):
... print('eat', x)
>>> def ondrink(x):
... print('drink', x)
>>> from matplotlib.cbook import CallbackRegistry
>>> callbacks = CallbackRegistry()
>>> id_eat = callbacks.connect('eat... | |
doc_26688 |
Bases: skimage.transform._geometric.FundamentalMatrixTransform Essential matrix transformation. The essential matrix relates corresponding points between a pair of calibrated images. The matrix transforms normalized, homogeneous image points in one image to epipolar lines in the other image. The essential matrix is o... | |
doc_26689 |
Return the scaled companion matrix of c. The basis polynomials are scaled so that the companion matrix is symmetric when c is an HermiteE basis polynomial. This provides better eigenvalue estimates than the unscaled case and for basis polynomials the eigenvalues are guaranteed to be real if numpy.linalg.eigvalsh is u... | |
doc_26690 |
Set the alpha value used for blending - not supported on all backends. Parameters
alphaarray-like or scalar or None
All values must be within the 0-1 range, inclusive. Masked values and nans are not supported. | |
doc_26691 | See Migration guide for more details. tf.compat.v1.raw_ops.VariableV2
tf.raw_ops.VariableV2(
shape, dtype, container='', shared_name='', name=None
)
Outputs a ref to the tensor state so it may be read or modified. about sharing states in tensorflow.
Args
shape A tf.TensorShape or list of ints. The shape... | |
doc_26692 |
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_26693 | The file is stored compressed (Mac OS X 10.6+). | |
doc_26694 | new_ccompiler_opt(compiler, dispatch_hpath, ...) Create a new instance of 'CCompilerOpt' and generate the dispatch header which contains the #definitions and headers of platform-specific instruction-sets for the enabled CPU baseline and dispatch-able features. Classes
CCompilerOpt(ccompiler[, cpu_baseline, ...]) A ... | |
doc_26695 |
How to… Legacy (numpy.poly1d) numpy.polynomial
Create a polynomial object from coefficients 1 p = np.poly1d([1, 2, 3]) p = Polynomial([3, 2, 1])
Create a polynomial object from roots r = np.poly([-1, 1]) p = np.poly1d(r) p = Polynomial.fromroots([-1, 1])
Fit a polynomial of degree deg to data np.polyfit(x, y, ... | |
doc_26696 |
~self | |
doc_26697 |
An array object represents a multidimensional, homogeneous array of fixed-size items. An associated data-type object describes the format of each element in the array (its byte-order, how many bytes it occupies in memory, whether it is an integer, a floating point number, or something else, etc.) Arrays should be con... | |
doc_26698 | See Migration guide for more details. tf.compat.v1.io.TFRecordWriter, tf.compat.v1.python_io.TFRecordWriter
tf.io.TFRecordWriter(
path, options=None
)
TFRecords tutorial TFRecords is a binary format which is optimized for high throughput data retrieval, generally in conjunction with tf.data. TFRecordWriter is us... | |
doc_26699 | An abstract base class representing a finder. Deprecated since version 3.3: Use MetaPathFinder or PathEntryFinder instead.
abstractmethod find_module(fullname, path=None)
An abstract method for finding a loader for the specified module. Originally specified in PEP 302, this method was meant for use in sys.meta_pa... |
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