_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_21100 |
Random values in a given shape. Note This is a convenience function for users porting code from Matlab, and wraps random_sample. That function takes a tuple to specify the size of the output, which is consistent with other NumPy functions like numpy.zeros and numpy.ones. Create an array of the given shape and popul... | |
doc_21101 |
Return the array of values, that are mapped to colors. The base class ScalarMappable does not make any assumptions on the dimensionality and shape of the array. | |
doc_21102 | The offset of the local DST timezone, in seconds west of UTC, if one is defined. This is negative if the local DST timezone is east of UTC (as in Western Europe, including the UK). Only use this if daylight is nonzero. See note below. | |
doc_21103 | Returns True if the data type of self is a signed data type. | |
doc_21104 | Boolean flag that indicates if the field was automatically created, such as the OneToOneField used by model inheritance. | |
doc_21105 | The path to the template as returned by the template loader. For loaders that read from the file system, this is the full path to the template. If the template is instantiated directly rather than through a template loader, this is a string value of <unknown_source>. | |
doc_21106 | If tzinfo is None, returns None, else returns self.tzinfo.utcoffset(None), and raises an exception if the latter doesn’t return None or a timedelta object with magnitude less than one day. Changed in version 3.7: The UTC offset is not restricted to a whole number of minutes. | |
doc_21107 |
Process a pick event. Each child artist will fire a pick event if mouseevent is over the artist and the artist has picker set. See also
set_picker, get_picker, pickable | |
doc_21108 | tf.compat.v1.resource_loader.readahead_file_path(
path, readahead='128M'
) | |
doc_21109 | See Migration guide for more details. tf.compat.v1.linalg.LinearOperatorCirculant3D
tf.linalg.LinearOperatorCirculant3D(
spectrum, input_output_dtype=tf.dtypes.complex64, is_non_singular=None,
is_self_adjoint=None, is_positive_definite=None, is_square=True,
name='LinearOperatorCirculant3D'
)
This operato... | |
doc_21110 | tf.experimental.numpy.outer(
a, b
)
Unsupported arguments: out. See the NumPy documentation for numpy.outer. | |
doc_21111 | See Migration guide for more details. tf.compat.v1.keras.applications.efficientnet.decode_predictions
tf.keras.applications.efficientnet.decode_predictions(
preds, top=5
)
Arguments
preds Numpy array encoding a batch of predictions.
top Integer, how many top-guesses to return. Defaults to 5.
... | |
doc_21112 |
Bases: skimage.viewer.widgets.core.BaseWidget CheckBox widget Parameters
namestr
Name of CheckBox parameter. If this parameter is passed as a keyword argument, it must match the name of that keyword argument (spaces are replaced with underscores). In addition, this name is displayed as the name of the CheckBox.... | |
doc_21113 | The LogEntry class tracks additions, changes, and deletions of objects done through the admin interface. | |
doc_21114 | See Migration guide for more details. tf.compat.v1.raw_ops.FusedBatchNormGrad
tf.raw_ops.FusedBatchNormGrad(
y_backprop, x, scale, reserve_space_1, reserve_space_2, epsilon=0.0001,
data_format='NHWC', is_training=True, name=None
)
Note that the size of 4D Tensors are defined by either "NHWC" or "NCHW". The s... | |
doc_21115 |
Draw samples from a chi-square distribution. When df independent random variables, each with standard normal distributions (mean 0, variance 1), are squared and summed, the resulting distribution is chi-square (see Notes). This distribution is often used in hypothesis testing. Note New code should use the chisquare ... | |
doc_21116 |
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_21117 | Check if a host matches a list of trusted names. Parameters
hostname (str) – The name to check.
trusted_list (Iterable[str]) – A list of valid names to match. If a name starts with a dot it will match all subdomains. Return type
bool Changelog New in version 0.9. | |
doc_21118 | Return a Request or None in response to a redirect. This is called by the default implementations of the http_error_30*() methods when a redirection is received from the server. If a redirection should take place, return a new Request to allow http_error_30*() to perform the redirect to newurl. Otherwise, raise HTTPErr... | |
doc_21119 |
Generate an array with constant block diagonal structure for biclustering. Read more in the User Guide. Parameters
shapeiterable of shape (n_rows, n_cols)
The shape of the result.
n_clustersint
The number of biclusters.
noisefloat, default=0.0
The standard deviation of the gaussian noise.
minvalint, d... | |
doc_21120 | Get the list of quota roots for the named mailbox. This method is part of the IMAP4 QUOTA extension defined in rfc2087. | |
doc_21121 | Check the cache for validity. Use this function if files in the cache may have changed on disk, and you require the updated version. If filename is omitted, it will check all the entries in the cache. | |
doc_21122 |
Return the underlying artist that actually defines some properties (e.g., color) of this artist. | |
doc_21123 | sklearn.datasets.load_wine(*, return_X_y=False, as_frame=False) [source]
Load and return the wine dataset (classification). New in version 0.18. The wine dataset is a classic and very easy multi-class classification dataset.
Classes 3
Samples per class [59,71,48]
Samples total 178
Dimensionality 13
Featur... | |
doc_21124 |
Transform X using the forward function. Parameters
Xarray-like, shape (n_samples, n_features)
Input array. Returns
X_outarray-like, shape (n_samples, n_features)
Transformed input. | |
doc_21125 | socket.SOCK_DGRAM
socket.SOCK_RAW
socket.SOCK_RDM
socket.SOCK_SEQPACKET
These constants represent the socket types, used for the second argument to socket(). More constants may be available depending on the system. (Only SOCK_STREAM and SOCK_DGRAM appear to be generally useful.) | |
doc_21126 |
Remove the Axes ax from the figure; update the current Axes. | |
doc_21127 |
Estimate clustering structure from vector array. OPTICS (Ordering Points To Identify the Clustering Structure), closely related to DBSCAN, finds core sample of high density and expands clusters from them [1]. Unlike DBSCAN, keeps cluster hierarchy for a variable neighborhood radius. Better suited for usage on large d... | |
doc_21128 |
Returns the diagonal of the kernel k(X, X). The result of this method is identical to np.diag(self(X)); however, it can be evaluated more efficiently since only the diagonal is evaluated. Parameters
Xarray-like of shape (n_samples_X, n_features) or list of object
Argument to the kernel. Returns
K_diagndar... | |
doc_21129 |
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 array-like or scalar or None
animated bool
antialiased or aa or antialiaseds bool or list of bools
array a... | |
doc_21130 | tf.experimental.numpy.einsum(
subscripts, *operands, **kwargs
)
See the NumPy documentation for numpy.einsum. | |
doc_21131 |
Simple matching of version numbers, for use in CCompiler and FCompiler. Parameters
patstr, optional
A regular expression matching version numbers. Default is r'[-.\d]+'.
ignorestr, optional
A regular expression matching patterns to skip. Default is '', in which case nothing is skipped.
startstr, optional
... | |
doc_21132 | tf.compat.v1.test.compute_gradient_error(
x, x_shape, y, y_shape, x_init_value=None, delta=0.001, init_targets=None,
extra_feed_dict=None
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use tf.test.compute_gradient in 2.0, which has better support for ... | |
doc_21133 |
Alias for get_linewidth. | |
doc_21134 | tf.experimental.numpy.mean(
a, axis=None, dtype=None, keepdims=None
)
Unsupported arguments: out. See the NumPy documentation for numpy.mean. | |
doc_21135 | Makes a DELETE request on the provided path and returns a Response object. Useful for testing RESTful interfaces. When data is provided, it is used as the request body, and a Content-Type header is set to content_type. The follow, secure and extra arguments act the same as for Client.get(). | |
doc_21136 | Returns the current value of the combobox. | |
doc_21137 | Returns path. | |
doc_21138 | class sklearn.linear_model.RidgeClassifierCV(alphas=0.1, 1.0, 10.0, *, fit_intercept=True, normalize=False, scoring=None, cv=None, class_weight=None, store_cv_values=False) [source]
Ridge classifier with built-in cross-validation. See glossary entry for cross-validation estimator. By default, it performs Leave-One-Ou... | |
doc_21139 | class sklearn.decomposition.MiniBatchSparsePCA(n_components=None, *, alpha=1, ridge_alpha=0.01, n_iter=100, callback=None, batch_size=3, verbose=False, shuffle=True, n_jobs=None, method='lars', random_state=None) [source]
Mini-batch Sparse Principal Components Analysis Finds the set of sparse components that can opti... | |
doc_21140 | Like transfercmd(), but returns a tuple of the data connection and the expected size of the data. If the expected size could not be computed, None will be returned as the expected size. cmd and rest means the same thing as in transfercmd(). | |
doc_21141 | '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_21142 | The name of the GDAL driver used to handle the input file. For GDALRasters created from a file, the driver type is detected automatically. The creation of rasters from scratch is an in-memory raster by default ('MEM'), but can be altered as needed. For instance, use GTiff for a GeoTiff file. For a list of file types, s... | |
doc_21143 | See torch.gcd() | |
doc_21144 | Globally unique id to identify the worker. | |
doc_21145 |
The numpy array interface. Returns
numpy.array
A numpy array of either the specified dtype or, if dtype==None (default), the same dtype as categorical.categories.dtype. | |
doc_21146 | See torch.arcsinh() | |
doc_21147 |
Escapes the unsafe characters from the path portion of a Uniform Resource Identifier (URI). | |
doc_21148 | Interaction function, emulates a very dumb Telnet client. | |
doc_21149 | In range(1000000). | |
doc_21150 | tf.image.crop_and_resize(
image, boxes, box_indices, crop_size, method='bilinear',
extrapolation_value=0, name=None
)
Extracts crops from the input image tensor and resizes them using bilinear sampling or nearest neighbor sampling (possibly with aspect ratio change) to a common output size specified by crop_si... | |
doc_21151 |
Return the snap setting. See set_snap for details. | |
doc_21152 | This is an implementation of the Attributes interface (see section The Attributes Interface). This is a dictionary-like object which represents the element attributes in a startElement() call. In addition to the most useful dictionary operations, it supports a number of other methods as described by the interface. Obje... | |
doc_21153 |
Repeat elements of a Index. Returns a new Index where each element of the current Index is repeated consecutively a given number of times. Parameters
repeats:int or array of ints
The number of repetitions for each element. This should be a non-negative integer. Repeating 0 times will return an empty Index.
ax... | |
doc_21154 | >>> serializer = AccountSerializer()
>>> print(repr(serializer))
AccountSerializer():
id = IntegerField(label='ID', read_only=True)
name = CharField(allow_blank=True, max_length=100, required=False)
owner = PrimaryKeyRelatedField(queryset=User.objects.all())
API Reference In order to explain the various ty... | |
doc_21155 |
Return the label used for this artist in the legend. | |
doc_21156 |
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_21157 | See Migration guide for more details. tf.compat.v1.raw_ops.SqrtGrad
tf.raw_ops.SqrtGrad(
y, dy, name=None
)
Specifically, grad = dy * 0.5 / y, where y = sqrt(x), and dy is the corresponding input gradient.
Args
y A Tensor. Must be one of the following types: bfloat16, half, float32, float64, complex64, ... | |
doc_21158 | The relative path to the template as passed into the template loader. If the template is instantiated directly rather than through a template loader, this is None. | |
doc_21159 | The match mode for regex. Defaults to False. | |
doc_21160 | See Migration guide for more details. tf.compat.v1.realdiv
tf.realdiv(
x, y, name=None
)
If x and y are reals, this will return the floating-point division.
Note: Div supports broadcasting. More about broadcasting here
Args
x A Tensor. Must be one of the following types: bfloat16, half, float32, float... | |
doc_21161 | Returns an iterable of Model classes for this application. Requires the app registry to be fully populated. | |
doc_21162 |
Whether the index type is compatible with the provided type. | |
doc_21163 | Returns a set of permission strings that the user has, through their groups. If obj is passed in, only returns the group permissions for this specific object. | |
doc_21164 | The annotation for the parameter. If the parameter has no annotation, this attribute is set to Parameter.empty. | |
doc_21165 | sklearn.metrics.mutual_info_score(labels_true, labels_pred, *, contingency=None) [source]
Mutual Information between two clusterings. The Mutual Information is a measure of the similarity between two labels of the same data. Where \(|U_i|\) is the number of the samples in cluster \(U_i\) and \(|V_j|\) is the number o... | |
doc_21166 | tf.compat.v1.layers.Conv2D(
filters, kernel_size, strides=(1, 1), padding='valid',
data_format='channels_last', dilation_rate=(1, 1), activation=None,
use_bias=True, kernel_initializer=None, bias_initializer=tf.zeros_initializer(),
kernel_regularizer=None, bias_regularizer=None, activity_regularizer=Non... | |
doc_21167 |
Compute the outer product of two vectors. Given two vectors, a = [a0, a1, ..., aM] and b = [b0, b1, ..., bN], the outer product [1] is: [[a0*b0 a0*b1 ... a0*bN ]
[a1*b0 .
[ ... .
[aM*b0 aM*bN ]]
Parameters
a(M,) array_like
First input vector. Input is flattened if not already 1-dimen... | |
doc_21168 | class asyncio.Queue(maxsize=0, *, loop=None)
A first in, first out (FIFO) queue. If maxsize is less than or equal to zero, the queue size is infinite. If it is an integer greater than 0, then await put() blocks when the queue reaches maxsize until an item is removed by get(). Unlike the standard library threading que... | |
doc_21169 |
Check if the interval is open on the left side. For the meaning of closed and open see Interval. Returns
bool
True if the Interval is closed on the left-side. | |
doc_21170 | See Migration guide for more details. tf.compat.v1.raw_ops.CudnnRNNV2
tf.raw_ops.CudnnRNNV2(
input, input_h, input_c, params, rnn_mode='lstm',
input_mode='linear_input', direction='unidirectional',
dropout=0, seed=0, seed2=0, is_training=True, name=None
)
Computes the RNN from the input and initial state... | |
doc_21171 |
Pads the input tensor using replication of the input boundary. For N-dimensional padding, use torch.nn.functional.pad(). Parameters
padding (int, tuple) – the size of the padding. If is int, uses the same padding in all boundaries. If a 6-tuple, uses (padding_left\text{padding\_left} , padding_right\text{padding\_r... | |
doc_21172 | This class attribute determines what happens when a custom failure message is passed as the msg argument to an assertXYY call that fails. True is the default value. In this case, the custom message is appended to the end of the standard failure message. When set to False, the custom message replaces the standard messag... | |
doc_21173 |
Color difference according to CIEDE 94 standard Accommodates perceptual non-uniformities through the use of application specific scale factors (kH, kC, kL, k1, and k2). Parameters
lab1array_like
reference color (Lab colorspace)
lab2array_like
comparison color (Lab colorspace)
kHfloat, optional
Hue scale... | |
doc_21174 |
Clear the Axes. | |
doc_21175 |
Multi-block local binary pattern (MB-LBP). The features are calculated similarly to local binary patterns (LBPs), (See local_binary_pattern()) except that summed blocks are used instead of individual pixel values. MB-LBP is an extension of LBP that can be computed on multiple scales in constant time using the integra... | |
doc_21176 |
Performs the operation. This function is to be overridden by all subclasses. It must accept a context ctx as the first argument, followed by any number of arguments (tensors or other types). The context can be used to store tensors that can be then retrieved during the backward pass. | |
doc_21177 |
multi_margin_loss(input, target, p=1, margin=1, weight=None, size_average=None,
reduce=None, reduction=’mean’) -> Tensor See MultiMarginLoss for details. | |
doc_21178 | The asynchronous output buffer size (default 4096). | |
doc_21179 |
Pseudo-Vandermonde matrix of given degree. Returns the pseudo-Vandermonde matrix of degree deg and sample points x. The pseudo-Vandermonde matrix is defined by \[V[..., i] = L_i(x)\] where 0 <= i <= deg. The leading indices of V index the elements of x and the last index is the degree of the Legendre polynomial. If ... | |
doc_21180 | Calculates the sign and natural logarithm of the absolute value of a square matrix’s determinant, or of the absolute values of the determinants of a batch of square matrices input. The determinant can be computed with sign * exp(logabsdet). Supports input of float, double, cfloat and cdouble datatypes. Note When given... | |
doc_21181 | See Migration guide for more details. tf.compat.v1.raw_ops.BiasAddGrad
tf.raw_ops.BiasAddGrad(
out_backprop, data_format='NHWC', name=None
)
It accumulates all the values from out_backprop into the feature dimension. For NHWC data format, the feature dimension is the last. For NCHW data format, the feature dimen... | |
doc_21182 |
Set 3D vertices. | |
doc_21183 |
Raise self to the power other, masking the potential NaNs/Infs | |
doc_21184 |
cleansed_substitute
The string value to replace sensitive value with. By default it replaces the values of sensitive variables with stars (**********).
hidden_settings
A compiled regular expression object used to match settings and request.META values considered as sensitive. By default equivalent to: import ... | |
doc_21185 |
Return whether the artist uses clipping. | |
doc_21186 | Another Modular Crypt Format method with 22 character salt and 31 character hash based on the Blowfish cipher. New in version 3.7. | |
doc_21187 | The BSD name for RLIMIT_NOFILE. | |
doc_21188 | Return True if path is an absolute pathname. On Unix, that means it begins with a slash, on Windows that it begins with a (back)slash after chopping off a potential drive letter. Changed in version 3.6: Accepts a path-like object. | |
doc_21189 | See Migration guide for more details. tf.compat.v1.data.experimental.latency_stats
tf.data.experimental.latency_stats(
tag
)
To consume the statistics, associate a StatsAggregator with the output dataset.
Args
tag String. All statistics recorded by the returned transformation will be associated with the... | |
doc_21190 | mailcap.findmatch(caps, MIMEtype, key='view', filename='/dev/null', plist=[])
Return a 2-tuple; the first element is a string containing the command line to be executed (which can be passed to os.system()), and the second element is the mailcap entry for a given MIME type. If no matching MIME type can be found, (None... | |
doc_21191 |
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_21192 |
Call func on self producing a Series with the same axis shape as self. Parameters
func:function, str, list-like or dict-like
Function to use for transforming the data. If a function, must either work when passed a Series or when passed to Series.apply. If func is both list-like and dict-like, dict-like behavior... | |
doc_21193 | tf.compat.v1.tpu.core(
num
)
Args
num the virtual core number within each replica to which operators should be assigned.
Returns A device name, suitable for passing to tf.device(). | |
doc_21194 | Return True if any element of the iterable is true. If the iterable is empty, return False. Equivalent to: def any(iterable):
for element in iterable:
if element:
return True
return False | |
doc_21195 | Required to enumerate the subkeys of a registry key. | |
doc_21196 | tf.nn.fixed_unigram_candidate_sampler Compat aliases for migration See Migration guide for more details. tf.compat.v1.nn.fixed_unigram_candidate_sampler, tf.compat.v1.random.fixed_unigram_candidate_sampler
tf.random.fixed_unigram_candidate_sampler(
true_classes, num_true, num_sampled, unique, range_max, vocab_fil... | |
doc_21197 | Use this scheme for generating external URLs when not in a request context. Default: 'http' | |
doc_21198 |
Indicate whether the date is the last day of the year. Returns
Series or DatetimeIndex
The same type as the original data with boolean values. Series will have the same name and index. DatetimeIndex will have the same name. See also is_year_start
Similar property indicating the start of the year. Exampl... | |
doc_21199 | Parameters
mode – one of the strings “standard”, “logo” or “world” Set turtle mode (“standard”, “logo” or “world”) and perform reset. If mode is not given, current mode is returned. Mode “standard” is compatible with old turtle. Mode “logo” is compatible with most Logo turtle graphics. Mode “world” uses user-define... |
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