_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_25800 | Run test and return the result. | |
doc_25801 |
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_25802 | Return a string indicating the HTTP request method. If Request.method is not None, return its value, otherwise return 'GET' if Request.data is None, or 'POST' if it’s not. This is only meaningful for HTTP requests. Changed in version 3.3: get_method now looks at the value of Request.method. | |
doc_25803 |
Return True if the period’s year is in a leap year. | |
doc_25804 | See Migration guide for more details. tf.compat.v1.nest.map_structure
tf.nest.map_structure(
func, *structure, **kwargs
)
Applies func(x[0], x[1], ...) where x[i] is an entry in structure[i]. All structures in structure must have the same arity, and the return value will contain results with the same structure l... | |
doc_25805 |
Change shape and size of array in-place. Parameters
new_shapetuple of ints, or n ints
Shape of resized array.
refcheckbool, optional
If False, reference count will not be checked. Default is True. Returns
None
Raises
ValueError
If a does not own its own data or references or views to it exist, and... | |
doc_25806 |
Return boolean flag, True if artist is included in layout calculations. E.g. Constrained Layout Guide, Figure.tight_layout(), and fig.savefig(fname, bbox_inches='tight'). | |
doc_25807 |
Set the parameters of this estimator. The method works on simple estimators as well as on nested objects (such as Pipeline). The latter have parameters of the form <component>__<parameter> so that it’s possible to update each component of a nested object. Parameters
**paramsdict
Estimator parameters. Returns... | |
doc_25808 | Given a quantized Tensor, self.int_repr() returns a CPU Tensor with uint8_t as data type that stores the underlying uint8_t values of the given Tensor. | |
doc_25809 | os.F_TLOCK
os.F_ULOCK
os.F_TEST
Flags that specify what action lockf() will take. Availability: Unix. New in version 3.3. | |
doc_25810 | Return the arc cosine of x, in radians. The result is between 0 and pi. | |
doc_25811 | Set to a non-ASCII name for a temporary file. | |
doc_25812 |
Accuracy classification score. In multilabel classification, this function computes subset accuracy: the set of labels predicted for a sample must exactly match the corresponding set of labels in y_true. Read more in the User Guide. Parameters
y_true1d array-like, or label indicator array / sparse matrix
Ground... | |
doc_25813 | See Migration guide for more details. tf.compat.v1.keras.preprocessing.image.apply_affine_transform
tf.keras.preprocessing.image.apply_affine_transform(
x, theta=0, tx=0, ty=0, shear=0, zx=1, zy=1, row_axis=0, col_axis=1,
channel_axis=2, fill_mode='nearest', cval=0.0, order=1
)
Arguments
x 2D numpy ... | |
doc_25814 |
Performs a single optimization step. Parameters
closure (callable) – A closure that reevaluates the model and returns the loss. | |
doc_25815 | Open the given url (which can be a request object or a string), optionally passing the given data. Arguments, return values and exceptions raised are the same as those of urlopen() (which simply calls the open() method on the currently installed global OpenerDirector). The optional timeout parameter specifies a timeout... | |
doc_25816 |
def f(x):
return x*x
if __name__ == '__main__':
with Pool(5) as p:
print(p.map(f, [1, 2, 3]))
will print to standard output [1, 4, 9]
The Process class In multiprocessing, processes are spawned by creating a Process object and then calling its start() method. Process follows the API of threading.Thr... | |
doc_25817 |
Autoscale the scalar limits on the norm instance using the current array | |
doc_25818 |
Return the alpha value used for blending - not supported on all backends. | |
doc_25819 |
Loads the Torch serialized object at the given URL. If downloaded file is a zip file, it will be automatically decompressed. If the object is already present in model_dir, it’s deserialized and returned. The default value of model_dir is <hub_dir>/checkpoints where hub_dir is the directory returned by get_dir(). Par... | |
doc_25820 |
Bases: torch.distributions.exp_family.ExponentialFamily Creates a Bernoulli distribution parameterized by probs or logits (but not both). Samples are binary (0 or 1). They take the value 1 with probability p and 0 with probability 1 - p. Example: >>> m = Bernoulli(torch.tensor([0.3]))
>>> m.sample() # 30% chance 1; ... | |
doc_25821 | A tuple of five integers representing version information about the OpenSSL library: >>> ssl.OPENSSL_VERSION_INFO
(1, 0, 2, 11, 15)
New in version 3.2. | |
doc_25822 | By default, Django’s admin uses a select-box interface (<select>) for fields that are ForeignKey. Sometimes you don’t want to incur the overhead of having to select all the related instances to display in the drop-down. raw_id_fields is a list of fields you would like to change into an Input widget for either a Foreign... | |
doc_25823 | tf.debugging.assert_all_finite(
x, message, name=None
)
Args
x Tensor to check.
message Message to log on failure.
name A name for this operation (optional).
Returns Same tensor as x. | |
doc_25824 | No-op in the base class, this method takes file object fp, and reads the data from the file, initializing its message catalog. If you have an unsupported message catalog file format, you should override this method to parse your format. | |
doc_25825 |
Return the standard deviation of the array elements along the given axis. Refer to numpy.std for full documentation. See also numpy.std
Notes This is the same as ndarray.std, except that where an ndarray would be returned, a matrix object is returned instead. Examples >>> x = np.matrix(np.arange(12).reshape((3, 4... | |
doc_25826 | See Migration guide for more details. tf.compat.v1.raw_ops.LoadTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug
tf.raw_ops.LoadTPUEmbeddingStochasticGradientDescentParametersGradAccumDebug(
parameters, gradient_accumulators, num_shards, shard_id, table_id=-1,
table_name='', config='', name=None
)... | |
doc_25827 | See Migration guide for more details. tf.compat.v1.app.flags.CsvListSerializer
tf.compat.v1.flags.CsvListSerializer(
list_sep
)
Methods serialize
serialize(
value
)
Serializes a list as a CSV string or unicode. | |
doc_25828 |
True if this transform is separable in the x- and y- dimensions. | |
doc_25829 |
Like rfind, but raises ValueError when the substring sub is not found. See also char.rindex | |
doc_25830 | See Migration guide for more details. tf.compat.v1.distribute.in_cross_replica_context
tf.distribute.in_cross_replica_context()
See tf.distribute.get_replica_context for details. assert not tf.distribute.in_cross_replica_context()
with strategy.scope():
assert tf.distribute.in_cross_replica_context()
def f():
... | |
doc_25831 | Get information on the specified clock as a namespace object. Supported clock names and the corresponding functions to read their value are:
'monotonic': time.monotonic()
'perf_counter': time.perf_counter()
'process_time': time.process_time()
'thread_time': time.thread_time()
'time': time.time()
The result ... | |
doc_25832 |
Set the parameters of this estimator. The method works on simple estimators as well as on nested objects (such as Pipeline). The latter have parameters of the form <component>__<parameter> so that it’s possible to update each component of a nested object. Parameters
**paramsdict
Estimator parameters. Returns... | |
doc_25833 | See Migration guide for more details. tf.compat.v1.raw_ops.FractionalAvgPoolGrad
tf.raw_ops.FractionalAvgPoolGrad(
orig_input_tensor_shape, out_backprop, row_pooling_sequence,
col_pooling_sequence, overlapping=False, name=None
)
Unlike FractionalMaxPoolGrad, we don't need to find arg_max for FractionalAvgPoo... | |
doc_25834 |
Apply a correction to raw Minimum Covariance Determinant estimates. Correction using the empirical correction factor suggested by Rousseeuw and Van Driessen in [RVD]. Parameters
dataarray-like of shape (n_samples, n_features)
The data matrix, with p features and n samples. The data set must be the one which was... | |
doc_25835 | See Migration guide for more details. tf.compat.v1.raw_ops.Cumsum
tf.raw_ops.Cumsum(
x, axis, exclusive=False, reverse=False, name=None
)
By default, this op performs an inclusive cumsum, which means that the first element of the input is identical to the first element of the output: tf.cumsum([a, b, c]) # => [... | |
doc_25836 |
Apply trees in the forest to X, return leaf indices. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
The input samples. Internally, its dtype will be converted to dtype=np.float32. If a sparse matrix is provided, it will be converted into a sparse csr_matrix. Returns
X_leavesndarr... | |
doc_25837 | This class stores the message data in a cookie (signed with a secret hash to prevent manipulation) to persist notifications across requests. Old messages are dropped if the cookie data size would exceed 2048 bytes. Changed in Django 3.2: Messages format was changed to the RFC 6265 compliant format. | |
doc_25838 | Default return value for get_redirect_field_name(). Defaults to "next". | |
doc_25839 | Return the number of weak references and proxies which refer to object. | |
doc_25840 | This function is called if the handle() method of a RequestHandlerClass instance raises an exception. The default action is to print the traceback to standard error and continue handling further requests. Changed in version 3.6: Now only called for exceptions derived from the Exception class. | |
doc_25841 |
Update this artist's properties from the dict props. Parameters
propsdict | |
doc_25842 |
Get whether the widget is active. | |
doc_25843 |
Fit the estimators. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
Training vectors, where n_samples is the number of samples and n_features is the number of features.
yarray-like of shape (n_samples,)
Target values.
sample_weightarray-like of shape (n_samples,), default=None
S... | |
doc_25844 | Given a list of tuples or FrameSummary objects as returned by extract_tb() or extract_stack(), return a list of strings ready for printing. Each string in the resulting list corresponds to the item with the same index in the argument list. Each string ends in a newline; the strings may contain internal newlines as well... | |
doc_25845 | Run awaitable objects in the aws sequence concurrently. If any awaitable in aws is a coroutine, it is automatically scheduled as a Task. If all awaitables are completed successfully, the result is an aggregate list of returned values. The order of result values corresponds to the order of awaitables in aws. If return_e... | |
doc_25846 |
Finish any processing for writing the movie. | |
doc_25847 |
Apply only the non-affine part of this transformation. transform(values) is always equivalent to transform_affine(transform_non_affine(values)). In non-affine transformations, this is generally equivalent to transform(values). In affine transformations, this is always a no-op. Parameters
valuesarray
The input v... | |
doc_25848 | Set loop as a current event loop for the current OS thread. | |
doc_25849 | class ast.Sub
class ast.Mult
class ast.Div
class ast.FloorDiv
class ast.Mod
class ast.Pow
class ast.LShift
class ast.RShift
class ast.BitOr
class ast.BitXor
class ast.BitAnd
class ast.MatMult
Binary operator tokens. | |
doc_25850 |
Alter Index or MultiIndex name. Able to set new names without level. Defaults to returning new index. Length of names must match number of levels in MultiIndex. Parameters
name:label or list of labels
Name(s) to set.
inplace:bool, default False
Modifies the object directly, instead of creating a new Index o... | |
doc_25851 |
Other Members
ABORTED 10
ALREADY_EXISTS 6
CANCELLED 1
DATA_LOSS 15
DEADLINE_EXCEEDED 4
FAILED_PRECONDITION 9
INTERNAL 13
INVALID_ARGUMENT 3
NOT_FOUND 5
OK 0
OUT_OF_RANGE 11
PERMISSION_DENIED 7
RESOURCE_EXHAUSTED 8
UNAUTHENTICATED 16 ... | |
doc_25852 |
Hyperbolic sine, element-wise. Equivalent to 1/2 * (np.exp(x) - np.exp(-x)) or -1j * np.sin(1j*x). Parameters
xarray_like
Input array.
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 p... | |
doc_25853 | Boolean flag that is True if the field has a one-to-many relation, such as a GenericRelation or the reverse of a ForeignKey; False otherwise. | |
doc_25854 | Built-in Functions
abs() delattr() hash() memoryview() set()
all() dict() help() min() setattr()
any() dir() hex() next() slice()
ascii() divmod() id() object() sorted()
bin() enumerate() input() oct() staticmethod()
bool() eval() int() open() str()
breakpoint() exec() isinstance() ord() sum()
byte... | |
doc_25855 | tf.compat.v1.nn.sparse_softmax_cross_entropy_with_logits(
_sentinel=None, labels=None, logits=None, name=None
)
Measures the probability error in discrete classification tasks in which the classes are mutually exclusive (each entry is in exactly one class). For example, each CIFAR-10 image is labeled with one and ... | |
doc_25856 | changes camera settings if supported by the camera set_controls(hflip = bool, vflip = bool, brightness) -> (hflip = bool, vflip = bool, brightness) Allows you to change camera settings if the camera supports it. The return values will be the input values if the camera claims it succeeded or the values previously in u... | |
doc_25857 | The constructor doesn’t take any arguments and no content should be added to this response. Use this to designate that a page hasn’t been modified since the user’s last request (status code 304). | |
doc_25858 | tf.optimizers.Nadam Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.optimizers.Nadam
tf.keras.optimizers.Nadam(
learning_rate=0.001, beta_1=0.9, beta_2=0.999, epsilon=1e-07,
name='Nadam', **kwargs
)
Much like Adam is essentially RMSprop with momentum, Nadam is Adam with ... | |
doc_25859 | | 1.0 MobileNet-224 | 70.6 % | 529 | 4.2 | | 1.0 MobileNet-192 | 69.1 % | 529 | 4.2 | | 1.0 MobileNet-160 | 67.2 % | 529 | 4.2 | | 1.0 MobileNet-128 | 64.4 % | 529 | 4.2 | Reference: MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Functions MobileNet(...): Instantiates the MobileNe... | |
doc_25860 |
Return the non-negative square-root of an array, element-wise. Parameters
xarray_like
The values whose square-roots are required.
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 provid... | |
doc_25861 |
Finds blobs in the given grayscale image. Blobs are found using the Determinant of Hessian method [1]. For each blob found, the method returns its coordinates and the standard deviation of the Gaussian Kernel used for the Hessian matrix whose determinant detected the blob. Determinant of Hessians is approximated usin... | |
doc_25862 |
Shuffle arrays or sparse matrices in a consistent way. This is a convenience alias to resample(*arrays, replace=False) to do random permutations of the collections. Parameters
*arrayssequence of indexable data-structures
Indexable data-structures can be arrays, lists, dataframes or scipy sparse matrices with co... | |
doc_25863 | Numerical underflow with result rounded to zero. Occurs when a subnormal result is pushed to zero by rounding. Inexact and Subnormal are also signaled. | |
doc_25864 |
Subtract one polynomial from another. Returns the difference of two polynomials c1 - c2. The arguments are sequences of coefficients from lowest order term to highest, i.e., [1,2,3] represents the polynomial 1 + 2*x + 3*x**2. Parameters
c1, c2array_like
1-D arrays of polynomial coefficients ordered from low to ... | |
doc_25865 | tf.experimental.numpy.arctanh(
x
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.arctanh. | |
doc_25866 | Casts this storage to short type | |
doc_25867 |
Remove “small” “trailing” coefficients from a polynomial. “Small” means “small in absolute value” and is controlled by the parameter tol; “trailing” means highest order coefficient(s), e.g., in [0, 1, 1, 0, 0] (which represents 0 + x + x**2 + 0*x**3 + 0*x**4) both the 3-rd and 4-th order coefficients would be “trimme... | |
doc_25868 | A Cmd instance or subclass instance is a line-oriented interpreter framework. There is no good reason to instantiate Cmd itself; rather, it’s useful as a superclass of an interpreter class you define yourself in order to inherit Cmd’s methods and encapsulate action methods. The optional argument completekey is the read... | |
doc_25869 | Returns a new deque object initialized left-to-right (using append()) with data from iterable. If iterable is not specified, the new deque is empty. Deques are a generalization of stacks and queues (the name is pronounced “deck” and is short for “double-ended queue”). Deques support thread-safe, memory efficient append... | |
doc_25870 |
Return a string representing the given POSIX timestamp controlled by an explicit format string. Parameters
format:str
Format string to convert Timestamp to string. See strftime documentation for more information on the format string: https://docs.python.org/3/library/datetime.html#strftime-and-strptime-behavior... | |
doc_25871 |
Scalar method identical to the corresponding array attribute. Please see ndarray.argmin. | |
doc_25872 | See Migration guide for more details. tf.compat.v1.config.experimental_connect_to_cluster
tf.config.experimental_connect_to_cluster(
cluster_spec_or_resolver, job_name='localhost', task_index=0,
protocol=None, make_master_device_default=True, cluster_device_filters=None
)
Will make devices on the cluster ava... | |
doc_25873 |
Return the sketch parameters for the artist. Returns
tuple or None
A 3-tuple with the following elements:
scale: The amplitude of the wiggle perpendicular to the source line.
length: The length of the wiggle along the line.
randomness: The scale factor by which the length is shrunken or expanded. Returns Non... | |
doc_25874 | sklearn.manifold.spectral_embedding(adjacency, *, n_components=8, eigen_solver=None, random_state=None, eigen_tol=0.0, norm_laplacian=True, drop_first=True) [source]
Project the sample on the first eigenvectors of the graph Laplacian. The adjacency matrix is used to compute a normalized graph Laplacian whose spectrum... | |
doc_25875 | See Migration guide for more details. tf.compat.v1.distribute.experimental.CommunicationOptions
tf.distribute.experimental.CommunicationOptions(
bytes_per_pack=0, timeout_seconds=None,
implementation=tf.distribute.experimental.CollectiveCommunication.AUTO
)
This can be passed to methods like tf.distribute.ge... | |
doc_25876 |
Set or clear the mask array. Parameters
maskNone or bool array of length ntri | |
doc_25877 | enable fake rendering of bold text set_bold(bool) -> None Enables the bold rendering of text. This is a fake stretching of the font that doesn't look good on many font types. If possible load the font from a real bold font file. While bold, the font will have a different width than when normal. This can be mixed with... | |
doc_25878 |
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_25879 | See Migration guide for more details. tf.compat.v1.random.gamma, tf.compat.v1.random_gamma
tf.random.gamma(
shape, alpha, beta=None, dtype=tf.dtypes.float32, seed=None, name=None
)
alpha is the shape parameter describing the distribution(s), and beta is the inverse scale parameter(s).
Note: Because internal cal... | |
doc_25880 | A list containing 2-tuples of TestCase instances and strings holding formatted tracebacks. Each tuple represents a test where a failure was explicitly signalled using the TestCase.assert*() methods. | |
doc_25881 | Returns weekday of first day of the month and number of days in month, for the specified year and month. | |
doc_25882 | Fetches all (remaining) rows of a query result, returning a list. Note that the cursor’s arraysize attribute can affect the performance of this operation. An empty list is returned when no rows are available. | |
doc_25883 | '__main__': block or moved to a separate file. Just make sure it’s not called because this will always start a local WSGI server which we do not want if we deploy that application to uWSGI. Starting your app with uwsgi uwsgi is designed to operate on WSGI callables found in python modules. Given a flask application in... | |
doc_25884 |
An extra-trees regressor. This class implements a meta estimator that fits a number of randomized decision trees (a.k.a. extra-trees) on various sub-samples of the dataset and uses averaging to improve the predictive accuracy and control over-fitting. Read more in the User Guide. Parameters
n_estimatorsint, defau... | |
doc_25885 | Returns the boundary as a newly allocated Geometry object. | |
doc_25886 | sklearn.cluster.mean_shift(X, *, bandwidth=None, seeds=None, bin_seeding=False, min_bin_freq=1, cluster_all=True, max_iter=300, n_jobs=None) [source]
Perform mean shift clustering of data using a flat kernel. Read more in the User Guide. Parameters
Xarray-like of shape (n_samples, n_features)
Input data.
band... | |
doc_25887 |
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_25888 | Open a bzip2-compressed file in binary mode. If filename is a str or bytes object, open the named file directly. Otherwise, filename should be a file object, which will be used to read or write the compressed data. The mode argument can be either 'r' for reading (default), 'w' for overwriting, 'x' for exclusive creatio... | |
doc_25889 | A one-character string used by the writer to escape the delimiter if quoting is set to QUOTE_NONE and the quotechar if doublequote is False. On reading, the escapechar removes any special meaning from the following character. It defaults to None, which disables escaping. | |
doc_25890 |
Rename categories. Parameters
new_categories:list-like, dict-like or callable
New categories which will replace old categories. list-like: all items must be unique and the number of items in the new categories must match the existing number of categories. dict-like: specifies a mapping from old categories to n... | |
doc_25891 | See Migration guide for more details. tf.compat.v1.fake_quant_with_min_max_vars_gradient, tf.compat.v1.quantization.fake_quant_with_min_max_vars_gradient
tf.quantization.fake_quant_with_min_max_vars_gradient(
gradients, inputs, min, max, num_bits=8, narrow_range=False, name=None
)
Args
gradients A Tenso... | |
doc_25892 | Maps request attributes to environment variables. This works not only for the Werkzeug request object, but also any other class with an environ attribute: >>> class Test(object):
... environ = {'key': 'value'}
... test = environ_property('key')
>>> var = Test()
>>> var.test
'value'
If you pass it a second valu... | |
doc_25893 | Return immediately if the sound driver is busy. Note This flag is not supported on modern Windows platforms. | |
doc_25894 |
Compute the inverse hyperbolic tangent of x. Return the “principal value” (for a description of this, see numpy.arctanh) of arctanh(x). For real x such that abs(x) < 1, this is a real number. If abs(x) > 1, or if x is complex, the result is complex. Finally, x = 1 returns``inf`` and x=-1 returns -inf. Parameters
... | |
doc_25895 | codecs.BOM_BE
codecs.BOM_LE
codecs.BOM_UTF8
codecs.BOM_UTF16
codecs.BOM_UTF16_BE
codecs.BOM_UTF16_LE
codecs.BOM_UTF32
codecs.BOM_UTF32_BE
codecs.BOM_UTF32_LE
These constants define various byte sequences, being Unicode byte order marks (BOMs) for several encodings. They are used in UTF-16 and UTF-32 d... | |
doc_25896 | See Migration guide for more details. tf.compat.v1.raw_ops.RefIdentity
tf.raw_ops.RefIdentity(
input, name=None
)
Args
input A mutable Tensor.
name A name for the operation (optional).
Returns A mutable Tensor. Has the same type as input. | |
doc_25897 | The offset argument must be specified as a timedelta object representing the difference between the local time and UTC. It must be strictly between -timedelta(hours=24) and timedelta(hours=24), otherwise ValueError is raised. The name argument is optional. If specified it must be a string that will be used as the value... | |
doc_25898 | Returns a value equal to Emin - prec + 1 which is the minimum exponent value for subnormal results. When underflow occurs, the exponent is set to Etiny. | |
doc_25899 |
Multiply one Hermite series by another. Returns the product of two Hermite series c1 * c2. The arguments are sequences of coefficients, from lowest order “term” to highest, e.g., [1,2,3] represents the series P_0 + 2*P_1 + 3*P_2. Parameters
c1, c2array_like
1-D arrays of Hermite series coefficients ordered from... |
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