_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_8500 | '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_8501 | The Meter widget can be used to show the progress of a background job which may take a long time to execute. | |
doc_8502 | You can override this to implement custom flushing behavior. This version just zaps the buffer to empty. | |
doc_8503 | class ast.YieldFrom(value)
A yield or yield from expression. Because these are expressions, they must be wrapped in a Expr node if the value sent back is not used. >>> print(ast.dump(ast.parse('yield x'), indent=4))
Module(
body=[
Expr(
value=Yield(
value=Name(id='x', ctx=Load(... | |
doc_8504 | The full name of a template to use for displaying the password reset form. Defaults to registration/password_reset_form.html if not supplied. | |
doc_8505 | Optional The value for the day, as a string. By default, set to None, which means the day will be determined using other means. | |
doc_8506 | See Migration guide for more details. tf.compat.v1.sparse.cross
tf.sparse.cross(
inputs, name=None, separator=None
)
For example, if the inputs are * inputs[0]: SparseTensor with shape = [2, 2]
[0, 0]: "a"
[1, 0]: "b"
[1, 1]: "c"
* inputs[1]: SparseTensor with shape = [2, 1]
[0, 0]: "d"
[1, 0]: "e"
* i... | |
doc_8507 | See Migration guide for more details. tf.compat.v1.raw_ops.MultiDeviceIteratorInit
tf.raw_ops.MultiDeviceIteratorInit(
dataset, multi_device_iterator, max_buffer_size, name=None
)
Args
dataset A Tensor of type variant. Dataset to be iterated upon.
multi_device_iterator A Tensor of type resource. A... | |
doc_8508 |
Set the snapping behavior. Snapping aligns positions with the pixel grid, which results in clearer images. For example, if a black line of 1px width was defined at a position in between two pixels, the resulting image would contain the interpolated value of that line in the pixel grid, which would be a grey value on ... | |
doc_8509 | See Migration guide for more details. tf.compat.v1.nn.conv_transpose
tf.nn.conv_transpose(
input, filters, output_shape, strides, padding='SAME',
data_format=None, dilations=None, name=None
)
This operation is sometimes called "deconvolution" after (Zeiler et al., 2010), but is really the transpose (gradient... | |
doc_8510 | tf.compat.v1.lite.OpHint.OpHintArgumentTracker(
function_name, unique_function_id, node_name_prefix, attr_name, level=1,
children_inputs_mappings=None
)
The inputs and arguments of these functions both use an instance of the class so they can have independent numbering.
Args
function_name Name of the ... | |
doc_8511 |
Any Python object. Character code
'O' | |
doc_8512 | standard pygame exception raise pygame.error(message) This exception is raised whenever a pygame or SDL operation fails. You can catch any anticipated problems and deal with the error. The exception is always raised with a descriptive message about the problem. Derived from the RuntimeError exception, which can also ... | |
doc_8513 | Return a header containing abbreviated weekday names. n specifies the width in characters for one weekday. | |
doc_8514 |
Return a string representation of data. Note This method is intended to be overridden by artist subclasses. As an end-user of Matplotlib you will most likely not call this method yourself. The default implementation converts ints and floats and arrays of ints and floats into a comma-separated string enclosed in squ... | |
doc_8515 |
Returns the total number of instructions executed. See FunctionCounts.denoise() for an explation of the denoise arg. | |
doc_8516 | sklearn.metrics.jaccard_score(y_true, y_pred, *, labels=None, pos_label=1, average='binary', sample_weight=None, zero_division='warn') [source]
Jaccard similarity coefficient score. The Jaccard index [1], or Jaccard similarity coefficient, defined as the size of the intersection divided by the size of the union of tw... | |
doc_8517 | class fractions.Fraction(other_fraction)
class fractions.Fraction(float)
class fractions.Fraction(decimal)
class fractions.Fraction(string)
The first version requires that numerator and denominator are instances of numbers.Rational and returns a new Fraction instance with value numerator/denominator. If denomin... | |
doc_8518 | tf.compat.v1.lookup.StaticVocabularyTable(
initializer, num_oov_buckets, lookup_key_dtype=None, name=None
)
For example, if an instance of StaticVocabularyTable is initialized with a string-to-id initializer that maps:
init = tf.lookup.KeyValueTensorInitializer(
keys=tf.constant(['emerson', 'lake', 'palmer'])... | |
doc_8519 | Outputs a symbolic disassembly of the pickle to the file-like object out, defaulting to sys.stdout. pickle can be a string or a file-like object. memo can be a Python dictionary that will be used as the pickle’s memo; it can be used to perform disassemblies across multiple pickles created by the same pickler. Successiv... | |
doc_8520 | See torch.logdet() | |
doc_8521 |
Return the MATHLIB line from numpyconfig.h | |
doc_8522 | Beep the PC’s speaker. The frequency parameter specifies frequency, in hertz, of the sound, and must be in the range 37 through 32,767. The duration parameter specifies the number of milliseconds the sound should last. If the system is not able to beep the speaker, RuntimeError is raised. | |
doc_8523 | Constructs a tensor with data. Warning torch.tensor() always copies data. If you have a Tensor data and want to avoid a copy, use torch.Tensor.requires_grad_() or torch.Tensor.detach(). If you have a NumPy ndarray and want to avoid a copy, use torch.as_tensor(). Warning When data is a tensor x, torch.tensor() reads ... | |
doc_8524 | set the alpha value for the full Surface image set_alpha(value, flags=0) -> None set_alpha(None) -> None Set the current alpha value for the Surface. When blitting this Surface onto a destination, the pixels will be drawn slightly transparent. The alpha value is an integer from 0 to 255, 0 is fully transparent and 25... | |
doc_8525 | control the sharing of input devices with other applications set_grab(bool) -> None When your program runs in a windowed environment, it will share the mouse and keyboard devices with other applications that have focus. If your program sets the event grab to True, it will lock all input into your program. It is best ... | |
doc_8526 | Refer to the corresponding attribute documentation in IPv4Interface. | |
doc_8527 |
Return the hatching pattern. | |
doc_8528 | See Migration guide for more details. tf.compat.v1.raw_ops.SparseApplyAdagradDA
tf.raw_ops.SparseApplyAdagradDA(
var, gradient_accumulator, gradient_squared_accumulator, grad, indices, lr, l1,
l2, global_step, use_locking=False, name=None
)
Args
var A mutable Tensor. Must be one of the following typ... | |
doc_8529 |
Convert a polynomial to a Legendre series. Convert an array representing the coefficients of a polynomial (relative to the “standard” basis) ordered from lowest degree to highest, to an array of the coefficients of the equivalent Legendre series, ordered from lowest to highest degree. Parameters
polarray_like
1... | |
doc_8530 | run a midi example midi.main(mode='output', device_id=None) -> None Arguments: mode - if 'output' run a midi keyboard output example
'input' run a midi event logger input example
'list' list available midi devices
(default 'output')
device_id - midi device number; if None then use the defau... | |
doc_8531 | See Migration guide for more details. tf.compat.v1.raw_ops.NextIteration
tf.raw_ops.NextIteration(
data, name=None
)
Args
data A Tensor. The tensor to be made available to the next iteration.
name A name for the operation (optional).
Returns A Tensor. Has the same type as data. | |
doc_8532 |
Call all of the registered callbacks. This function is triggered internally when a property is changed. See also add_callback
remove_callback | |
doc_8533 |
Local features for a single- or multi-channel nd image. Intensity, gradient intensity and local structure are computed at different scales thanks to Gaussian blurring. Parameters
imagendarray
Input image, which can be grayscale or multichannel.
multichannelbool, default False
True if the last dimension corr... | |
doc_8534 |
Compute the decision function of X. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
The training input samples. Sparse matrix can be CSC, CSR, COO, DOK, or LIL. COO, DOK, and LIL are converted to CSR. Returns
scorendarray of shape of (n_samples, k)
The decision function of the i... | |
doc_8535 |
Return a fixed frequency DatetimeIndex, with business day as the default frequency. Parameters
start:str or datetime-like, default None
Left bound for generating dates.
end:str or datetime-like, default None
Right bound for generating dates.
periods:int, default None
Number of periods to generate.
fre... | |
doc_8536 | tf.nn.RNNCellDeviceWrapper(
*args, **kwargs
)
Args
cell An instance of RNNCell.
device A device string or function, for passing to tf.device.
**kwargs dict of keyword arguments for base layer.
Attributes
output_size
state_size
Methods get_initial_state View source
get_ini... | |
doc_8537 |
If this property is set to True, the artist will be queried for custom context information when the mouse cursor moves over it. See also get_cursor_data(), ToolCursorPosition and NavigationToolbar2. | |
doc_8538 |
Callback for mouse button release in zoom to rect mode. | |
doc_8539 | A mixin that provides basic HTTP GET and POST workflow. Note This is named ‘ProcessFormView’ and inherits directly from django.views.generic.base.View, but breaks if used independently, so it is more of a mixin. Extends django.views.generic.base.View Methods and Attributes
get(request, *args, **kwargs)
Renders ... | |
doc_8540 |
Callback for mouse button press in zoom to rect mode. | |
doc_8541 | Token value for "&". | |
doc_8542 | Returns the file selection dialog that may be shared among different calls from this application. This method will create a file selection dialog widget when it is called the first time. This dialog will be returned by all subsequent calls to tix_filedialog(). An optional dlgclass parameter can be passed as a string to... | |
doc_8543 | operator.__sub__(a, b)
Return a - b. | |
doc_8544 | 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_8545 | unlock()
Three locking mechanisms are used—dot locking and, if available, the flock() and lockf() system calls. | |
doc_8546 | Removes and returns a key or index. Parameters
key – The key to be popped. If this is an integer the item at that position is removed, if it’s a string the value for that key is. If the key is omitted or None the last item is removed. Returns
an item. | |
doc_8547 | Determine whether code is in tableC.1.1 (ASCII space characters). | |
doc_8548 |
Cursor move event handler and validator. | |
doc_8549 | Expands all children of node into node. Example: from xml.dom import pulldom
xml = '<html><title>Foo</title> <p>Some text <div>and more</div></p> </html>'
doc = pulldom.parseString(xml)
for event, node in doc:
if event == pulldom.START_ELEMENT and node.tagName == 'p':
# Following statement only prints '<p/... | |
doc_8550 | A string name identifying the DocTest. Typically, this is the name of the object or file that the test was extracted from. | |
doc_8551 | Parameters
cmode – one of the values 1.0 or 255 Return the colormode or set it to 1.0 or 255. Subsequently r, g, b values of color triples have to be in the range 0..cmode. >>> screen.colormode(1)
>>> turtle.pencolor(240, 160, 80)
Traceback (most recent call last):
...
TurtleGraphicsError: bad color sequence: ... | |
doc_8552 | See Migration guide for more details. tf.compat.v1.image.central_crop
tf.image.central_crop(
image, central_fraction
)
Remove the outer parts of an image but retain the central region of the image along each dimension. If we specify central_fraction = 0.5, this function returns the region marked with "X" in the ... | |
doc_8553 | See Migration guide for more details. tf.compat.v1.raw_ops.ResourceApplyAddSign
tf.raw_ops.ResourceApplyAddSign(
var, m, lr, alpha, sign_decay, beta, grad, use_locking=False, name=None
)
mt <- beta1 * m{t-1} + (1 - beta1) * g update <- (alpha + sign_decay * sign(g) *sign(m)) * g variable <- variable - lr_t * upd... | |
doc_8554 |
Bases: matplotlib.collections.Collection A collection of ellipses, drawn using splines. Parameters
widthsarray-like
The lengths of the first axes (e.g., major axis lengths).
heightsarray-like
The lengths of second axes.
anglesarray-like
The angles of the first axes, degrees CCW from the x-axis.
units{... | |
doc_8555 |
Exception that is raised by an error encountered in parsing file contents. This is a generic error raised for errors encountered when functions like read_csv or read_html are parsing contents of a file. See also read_csv
Read CSV (comma-separated) file into a DataFrame. read_html
Read HTML table into a DataFrame... | |
doc_8556 | tf.keras.layers.AvgPool3D Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.layers.AveragePooling3D, tf.compat.v1.keras.layers.AvgPool3D
tf.keras.layers.AveragePooling3D(
pool_size=(2, 2, 2), strides=None, padding='valid', data_format=None,
**kwargs
)
Arguments
pool... | |
doc_8557 | class sklearn.linear_model.OrthogonalMatchingPursuit(*, n_nonzero_coefs=None, tol=None, fit_intercept=True, normalize=True, precompute='auto') [source]
Orthogonal Matching Pursuit model (OMP). Read more in the User Guide. Parameters
n_nonzero_coefsint, default=None
Desired number of non-zero entries in the solu... | |
doc_8558 |
Returns numpy array of datetime.time objects with timezone information. The time part of the Timestamps. | |
doc_8559 |
Returns a list of 2 masked arrays containing interpolated derivatives at the specified (x, y) points. Parameters
x, yarray-like
x and y coordinates of the same shape and any number of dimensions. Returns
dzdx, dzdynp.ma.array
2 masked arrays of the same shape as x and y; values corresponding to (x, y) p... | |
doc_8560 | Handles a record by passing it to all handlers associated with this logger and its ancestors (until a false value of propagate is found). This method is used for unpickled records received from a socket, as well as those created locally. Logger-level filtering is applied using filter(). | |
doc_8561 | See Migration guide for more details. tf.compat.v1.data.experimental.dense_to_ragged_batch
tf.data.experimental.dense_to_ragged_batch(
batch_size, drop_remainder=False, row_splits_dtype=tf.dtypes.int64
)
This transformation combines multiple consecutive elements of the input dataset into a single element. Like t... | |
doc_8562 | Extract the raw traceback from the current stack frame. The return value has the same format as for extract_tb(). The optional f and limit arguments have the same meaning as for print_stack(). | |
doc_8563 | query the tree for neighbors within a radius r Parameters
Xarray-like of shape (n_samples, n_features)
An array of points to query
rdistance within which neighbors are returned
r can be a single value, or an array of values of shape x.shape[:-1] if different radii are desired for each point.
return_distance... | |
doc_8564 | class ast.NotEq
class ast.Lt
class ast.LtE
class ast.Gt
class ast.GtE
class ast.Is
class ast.IsNot
class ast.In
class ast.NotIn
Comparison operator tokens. | |
doc_8565 | Return a list of the names of sequences that include this message. | |
doc_8566 | An await expression. value is what it waits for. Only valid in the body of an AsyncFunctionDef. | |
doc_8567 |
Plot the magnitude spectrum. Compute the magnitude spectrum of x. Data is padded to a length of pad_to and the windowing function window is applied to the signal. Parameters
x1-D array or sequence
Array or sequence containing the data.
Fsfloat, default: 2
The sampling frequency (samples per time unit). It i... | |
doc_8568 | tf.compat.v1.metrics.true_negatives_at_thresholds(
labels, predictions, thresholds, weights=None, metrics_collections=None,
updates_collections=None, name=None
)
If weights is None, weights default to 1. Use weights of 0 to mask values.
Args
labels A Tensor whose shape matches predictions. Will be cas... | |
doc_8569 |
Transforms an uncontrained real vector xx with length D∗(D−1)/2D*(D-1)/2 into the Cholesky factor of a D-dimension correlation matrix. This Cholesky factor is a lower triangular matrix with positive diagonals and unit Euclidean norm for each row. The transform is processed as follows: First we convert x into a low... | |
doc_8570 | class sklearn.decomposition.NMF(n_components=None, *, init='warn', solver='cd', beta_loss='frobenius', tol=0.0001, max_iter=200, random_state=None, alpha=0.0, l1_ratio=0.0, verbose=0, shuffle=False, regularization='both') [source]
Non-Negative Matrix Factorization (NMF). Find two non-negative matrices (W, H) whose pr... | |
doc_8571 | '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_8572 | Callback function for URL defaults for all view functions of the application. It’s called with the endpoint and values and should update the values passed in place. Parameters
f (Callable[[str, dict], None]) – Return type
Callable[[str, dict], None] | |
doc_8573 |
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_8574 | See torch.var() | |
doc_8575 |
Description of the Tool. str: Tooltip used if the Tool is included in a Toolbar. | |
doc_8576 |
Estimate model parameters using X and predict the labels for X. The method fits the model n_init times and sets the parameters with which the model has the largest likelihood or lower bound. Within each trial, the method iterates between E-step and M-step for max_iter times until the change of likelihood or lower bou... | |
doc_8577 | In-place version of cumsum() | |
doc_8578 | Returns the smallest Polygon that contains all the points in the geometry. | |
doc_8579 | class sklearn.covariance.GraphicalLasso(alpha=0.01, *, mode='cd', tol=0.0001, enet_tol=0.0001, max_iter=100, verbose=False, assume_centered=False) [source]
Sparse inverse covariance estimation with an l1-penalized estimator. Read more in the User Guide. Changed in version v0.20: GraphLasso has been renamed to Graphi... | |
doc_8580 | See Migration guide for more details. tf.compat.v1.raw_ops.Relu6
tf.raw_ops.Relu6(
features, name=None
)
Args
features A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, int64, bfloat16, uint16, half, uint32, uint64.
name A name for the operation (optional).... | |
doc_8581 | Registry entries subordinate to this key allow you to access performance data. The data is not actually stored in the registry; the registry functions cause the system to collect the data from its source. | |
doc_8582 |
Set the url of label1 and label2. Parameters
urlstr | |
doc_8583 | Initialize cascade classifier. Parameters
xml_filefile’s path or file’s object
A file in a OpenCv format from which all the cascade classifier’s parameters are loaded.
epscnp.float32_t
Accuracy parameter. Increasing it, makes the classifier detect less false positives but at the same time the false negative s... | |
doc_8584 | bytearray.index(sub[, start[, end]])
Like find(), but raise ValueError when the subsequence is not found. The subsequence to search for may be any bytes-like object or an integer in the range 0 to 255. Changed in version 3.3: Also accept an integer in the range 0 to 255 as the subsequence. | |
doc_8585 | See Migration guide for more details. tf.compat.v1.lookup.TextFileInitializer
tf.lookup.TextFileInitializer(
filename, key_dtype, key_index, value_dtype, value_index, vocab_size=None,
delimiter='\t', name=None
)
This initializer assigns one entry in the table for each line in the file. The key and value type... | |
doc_8586 |
Compute pairwise correlation of columns, excluding NA/null values. Parameters
method:{‘pearson’, ‘kendall’, ‘spearman’} or callable
Method of correlation: pearson : standard correlation coefficient kendall : Kendall Tau correlation coefficient spearman : Spearman rank correlation
callable: callable with inpu... | |
doc_8587 |
Convert coefficient matrix to dense array format. Converts the coef_ member (back) to a numpy.ndarray. This is the default format of coef_ and is required for fitting, so calling this method is only required on models that have previously been sparsified; otherwise, it is a no-op. Returns
self
Fitted estimator. | |
doc_8588 | The type of generator-iterator objects, created by generator functions. | |
doc_8589 |
Write any changes in the array to the file on disk. For further information, see memmap. Parameters
None
See also memmap | |
doc_8590 | Create a basic file selection dialog.
cancel_command(event=None)
Trigger the termination of the dialog window.
dirs_double_event(event)
Event handler for double-click event on directory.
dirs_select_event(event)
Event handler for click event on directory.
files_double_event(event)
Event handler fo... | |
doc_8591 | Convert a value to a “formatted” representation, as controlled by format_spec. The interpretation of format_spec will depend on the type of the value argument, however there is a standard formatting syntax that is used by most built-in types: Format Specification Mini-Language. The default format_spec is an empty strin... | |
doc_8592 | Return a list of all the message’s header field names. | |
doc_8593 |
Return the Transform instance used by this artist offset. | |
doc_8594 | Return a date with the same value, except for those parameters given new values by whichever keyword arguments are specified. Example: >>> from datetime import date
>>> d = date(2002, 12, 31)
>>> d.replace(day=26)
datetime.date(2002, 12, 26) | |
doc_8595 |
Return the LogitTransform associated with this scale. | |
doc_8596 |
Autoscale the scalar limits on the norm instance using the current array, changing only limits that are None | |
doc_8597 | The subset of drawn samples for each base estimator. Returns a dynamically generated list of indices identifying the samples used for fitting each member of the ensemble, i.e., the in-bag samples. Note: the list is re-created at each call to the property in order to reduce the object memory footprint by not storing the... | |
doc_8598 |
get_username()
Returns the value of the field nominated by USERNAME_FIELD.
clean()
Normalizes the username by calling normalize_username(). If you override this method, be sure to call super() to retain the normalization.
classmethod get_email_field_name()
Returns the name of the email field specified b... | |
doc_8599 | See Migration guide for more details. tf.compat.v1.data.experimental.bucket_by_sequence_length
tf.data.experimental.bucket_by_sequence_length(
element_length_func, bucket_boundaries, bucket_batch_sizes, padded_shapes=None,
padding_values=None, pad_to_bucket_boundary=False, no_padding=False,
drop_remainder... |
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