_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_21500 |
Return whether y is in the open (y0, y1) interval. | |
doc_21501 | Change or query the current global domain. If domain is None, then the current global domain is returned, otherwise the global domain is set to domain, which is returned. | |
doc_21502 |
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_21503 |
Bases: object A mixin class to map scalar data to RGBA. The ScalarMappable applies data normalization before returning RGBA colors from the given colormap. Parameters
normmatplotlib.colors.Normalize (or subclass thereof)
The normalizing object which scales data, typically into the interval [0, 1]. If None, norm... | |
doc_21504 | See Migration guide for more details. tf.compat.v1.raw_ops.FractionalMaxPool
tf.raw_ops.FractionalMaxPool(
value, pooling_ratio, pseudo_random=False, overlapping=False,
deterministic=False, seed=0, seed2=0, name=None
)
Fractional max pooling is slightly different than regular max pooling. In regular max pool... | |
doc_21505 | The get_list_filter method is given the HttpRequest and is expected to return the same kind of sequence type as for the list_filter attribute. | |
doc_21506 | See Migration guide for more details. tf.compat.v1.tensor_scatter_nd_min
tf.tensor_scatter_nd_min(
tensor, indices, updates, name=None
)
Args
tensor A Tensor. Tensor to update.
indices A Tensor. Must be one of the following types: int32, int64. Index tensor.
updates A Tensor. Must have the s... | |
doc_21507 | The strftime() format to use when parsing the month. By default, this is '%b'. | |
doc_21508 |
Makes all future work submitted to the given stream wait for this event. Use torch.cuda.current_stream() if no stream is specified. | |
doc_21509 |
Set a label that will be displayed in the legend. Parameters
sobject
s will be converted to a string by calling str. | |
doc_21510 | Optionally a function that is passed the script info to create the instance of the application. | |
doc_21511 | See Migration guide for more details. tf.compat.v1.broadcast_dynamic_shape
tf.broadcast_dynamic_shape(
shape_x, shape_y
)
When shape_x and shape_y are Tensors representing shapes (i.e. the result of calling tf.shape on another Tensor) this computes a Tensor which is the shape of the result of a broadcasting op a... | |
doc_21512 | Return the set of CPUs the process with PID pid (or the current process if zero) is restricted to. | |
doc_21513 |
Create and return an arc Spine. | |
doc_21514 |
Set multiple properties at once. Supported properties are
Property Description
agg_filter a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array
alpha scalar or None
angle unknown
animated bool
antialiased or aa bool or None
bounds (left, bottom, width, h... | |
doc_21515 |
Autoscale the scalar limits on the norm instance using the current array | |
doc_21516 |
Set the facecolor(s) of the collection. c can be a color (all patches have same color), or a sequence of colors; if it is a sequence the patches will cycle through the sequence. If c is 'none', the patch will not be filled. Parameters
ccolor or list of colors | |
doc_21517 | tf.compat.v1.gather(
params, indices, validate_indices=None, name=None, axis=None, batch_dims=0
)
Gather slices from params axis axis according to indices. indices must be an integer tensor of any dimension (usually 0-D or 1-D). For 0-D (scalar) indices: $$\begin{align*} output[p_0, ..., p_{axis-1}, && &&& p_{axi... | |
doc_21518 | place an event on the queue post(Event) -> None This will post your own event objects onto the event queue. You can post any event type you want, but some care must be taken. For example, if you post a MOUSEBUTTONDOWN event to the queue, it is likely any code receiving the event will expect the standard MOUSEBUTTONDO... | |
doc_21519 |
Use an index array to construct a new array from a set of choices. Refer to numpy.choose for full documentation. See also numpy.choose
equivalent function | |
doc_21520 |
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_21521 |
Update colors from the scalar mappable array, if any. Assign colors to edges and faces based on the array and/or colors that were directly set, as appropriate. | |
doc_21522 | The ID of the integrity check used by the input stream. This may be CHECK_UNKNOWN until enough of the input has been decoded to determine what integrity check it uses. | |
doc_21523 | Base class for warnings related to Unicode. | |
doc_21524 | Wait for the worker processes to exit. One must call close() or terminate() before using join(). | |
doc_21525 |
Set the default limits for the axis data and view interval if they have not been not mutated yet. | |
doc_21526 | tf.compat.v1.keras.initializers.lecun_normal(
seed=None
)
With distribution="truncated_normal" or "untruncated_normal", samples are drawn from a truncated/untruncated normal distribution with a mean of zero and a standard deviation (after truncation, if used) stddev = sqrt(scale / n) where n is: number of input u... | |
doc_21527 | Computes the condition number of a matrix input, or of each matrix in a batched input, using the matrix norm defined by p. For norms {‘fro’, ‘nuc’, inf, -inf, 1, -1} this is defined as the matrix norm of input times the matrix norm of the inverse of input computed using torch.linalg.norm(). While for norms {None, 2, -2... | |
doc_21528 |
Draw a matrix of scatter plots. Parameters
frame:DataFrame
alpha:float, optional
Amount of transparency applied.
figsize:(float,float), optional
A tuple (width, height) in inches.
ax:Matplotlib axis object, optional
grid:bool, optional
Setting this to True will show the grid.
diagonal:{‘hist’, ‘kd... | |
doc_21529 |
Set the agg filter. Parameters
filter_funccallable
A filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array. | |
doc_21530 | See Migration guide for more details. tf.compat.v1.raw_ops.Dawsn
tf.raw_ops.Dawsn(
x, name=None
)
Args
x A Tensor. Must be one of the following types: bfloat16, half, float32, float64.
name A name for the operation (optional).
Returns A Tensor. Has the same type as x. | |
doc_21531 | See Migration guide for more details. tf.compat.v1.raw_ops.Minimum
tf.raw_ops.Minimum(
x, y, name=None
)
Both inputs are number-type tensors (except complex). minimum expects that both tensors have the same dtype. Examples:
x = tf.constant([0., 0., 0., 0.])
y = tf.constant([-5., -2., 0., 3.])
tf.math.minimum(x,... | |
doc_21532 |
Return a tuple containing info about (platform, compiler, extra_args), required by the abstract class ‘_CCompiler’ for discovering the platform environment. This is also used as a cache factor in order to detect any changes happening from outside. | |
doc_21533 | tf.experimental.numpy.allclose(
a, b, rtol=1e-05, atol=1e-08, equal_nan=False
)
See the NumPy documentation for numpy.allclose. | |
doc_21534 |
input_type: 'text'
template_name: 'django/forms/widgets/time.html'
Renders as: <input type="text" ...>
Takes same arguments as TextInput, with one more optional argument:
format
The format in which this field’s initial value will be displayed.
If no format argument is provided, the default format is the fi... | |
doc_21535 |
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_21536 |
Bases: matplotlib.axis.XAxis An Axis class for the 3D plots. Parameters
axesmatplotlib.axes.Axes
The Axes to which the created Axis belongs.
pickradiusfloat
The acceptance radius for containment tests. See also Axis.contains. propertyd_interval
draw(renderer)[source]
Draw the Artist (and its chi... | |
doc_21537 |
Return the number of elements in the underlying data. | |
doc_21538 | Computes the 2-dimensional discrete Fourier transform of real input. Equivalent to rfftn() but FFTs only the last two dimensions by default. The FFT of a real signal is Hermitian-symmetric, X[i, j] = conj(X[-i, -j]), so the full fft2() output contains redundant information. rfft2() instead omits the negative frequencie... | |
doc_21539 | This is the type of lock objects. | |
doc_21540 | Computes the dot product of two 1D tensors. Note Unlike NumPy’s dot, torch.dot intentionally only supports computing the dot product of two 1D tensors with the same number of elements. Parameters
input (Tensor) – first tensor in the dot product, must be 1D.
other (Tensor) – second tensor in the dot product, must... | |
doc_21541 |
Compute open, high, low and close values of a group, excluding missing values. For multiple groupings, the result index will be a MultiIndex Returns
DataFrame
Open, high, low and close values within each group. See also Series.groupby
Apply a function groupby to a Series. DataFrame.groupby
Apply a functi... | |
doc_21542 | Iter the response encoded with the encoding of the response. If the response object is invoked as WSGI application the return value of this method is used as application iterator unless direct_passthrough was activated. Return type
Iterator[bytes] | |
doc_21543 |
Draw a collection of paths selecting drawing properties from the lists facecolors, edgecolors, linewidths, linestyles and antialiaseds. offsets is a list of offsets to apply to each of the paths. The offsets in offsets are first transformed by offsetTrans before being applied. offset_position is unused now, but the a... | |
doc_21544 | Represents the C ssize_t datatype. New in version 3.2. | |
doc_21545 | Opens a resource from the application’s instance folder (instance_path). Otherwise works like open_resource(). Instance resources can also be opened for writing. Parameters
resource (str) – the name of the resource. To access resources within subfolders use forward slashes as separator.
mode (str) – resource file ... | |
doc_21546 |
Gray-level “microaneurysms” image. Detail from an image of the retina (green channel). The image is a crop of image 07_dr.JPG from the High-Resolution Fundus (HRF) Image Database: https://www5.cs.fau.de/research/data/fundus-images/ Returns
microaneurysms(102, 102) uint8 ndarray
Retina image with lesions. No... | |
doc_21547 | tf.compat.v1.losses.mean_squared_error(
labels, predictions, weights=1.0, scope=None,
loss_collection=tf.GraphKeys.LOSSES, reduction=Reduction.SUM_BY_NONZERO_WEIGHTS
)
weights acts as a coefficient for the loss. If a scalar is provided, then the loss is simply scaled by the given value. If weights is a tensor ... | |
doc_21548 | See Migration guide for more details. tf.compat.v1.raw_ops.BarrierIncompleteSize
tf.raw_ops.BarrierIncompleteSize(
handle, name=None
)
Args
handle A Tensor of type mutable string. The handle to a barrier.
name A name for the operation (optional).
Returns A Tensor of type int32. | |
doc_21549 |
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_21550 |
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_21551 | tf.strings.length(
input, unit='BYTE', name=None
)
Computes the length of each string given in the input tensor.
strings = tf.constant(['Hello','TensorFlow', '\U0001F642'])
tf.strings.length(strings).numpy() # default counts bytes
array([ 5, 10, 4], dtype=int32)
tf.strings.length(strings, unit="UTF8_CHAR").numpy(... | |
doc_21552 | alias of werkzeug.wrappers.request.Request | |
doc_21553 |
Make a MultiIndex from the cartesian product of multiple iterables. Parameters
iterables:list / sequence of iterables
Each iterable has unique labels for each level of the index.
sortorder:int or None
Level of sortedness (must be lexicographically sorted by that level).
names:list / sequence of str, optio... | |
doc_21554 | Return the population variance of data, a non-empty sequence or iterable of real-valued numbers. Variance, or second moment about the mean, is a measure of the variability (spread or dispersion) of data. A large variance indicates that the data is spread out; a small variance indicates it is clustered closely around th... | |
doc_21555 |
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_21556 | Base class for warnings about deprecated features when those warnings are intended for end users of applications that are written in Python. | |
doc_21557 |
Generate circle perimeter coordinates. Parameters
r, cint
Centre coordinate of circle.
radiusint
Radius of circle.
method{‘bresenham’, ‘andres’}, optional
bresenham : Bresenham method (default) andres : Andres method
shapetuple, optional
Image shape which is used to determine the maximum extent of o... | |
doc_21558 | operator.__iconcat__(a, b)
a = iconcat(a, b) is equivalent to a += b for a and b sequences. | |
doc_21559 |
Computes the inverse of rfft2. Parameters
aarray_like
The input array
ssequence of ints, optional
Shape of the real output to the inverse FFT.
axessequence of ints, optional
The axes over which to compute the inverse fft. Default is the last two axes.
norm{“backward”, “ortho”, “forward”}, optional
... | |
doc_21560 |
Filename of the image. str: Filename of the image to use in a Toolbar. If None, the name is used as a label in the toolbar button. | |
doc_21561 | Create a new Joystick object. Joystick(id) -> Joystick Create a new joystick to access a physical device. The id argument must be a value from 0 to pygame.joystick.get_count() - 1. Joysticks are initialised on creation and are shut down when deallocated. Once the device is initialized the pygame event queue will star... | |
doc_21562 |
Add a callback function that will be called whenever one of the Artist's properties changes. Parameters
funccallable
The callback function. It must have the signature: def func(artist: Artist) -> Any
where artist is the calling Artist. Return values may exist but are ignored. Returns
int
The observer id ... | |
doc_21563 | Return a list of all variables’ values in the context object. | |
doc_21564 | Return the line number where the current event begins. | |
doc_21565 |
alias of numpy.clongdouble | |
doc_21566 | See Migration guide for more details. tf.compat.v1.raw_ops.AccumulatorApplyGradient
tf.raw_ops.AccumulatorApplyGradient(
handle, local_step, gradient, name=None
)
Does not add if local_step is lesser than the accumulator's global_step.
Args
handle A Tensor of type mutable string. The handle to a accumul... | |
doc_21567 |
Load a PIL image and return it as a numpy int array. Returns
numpy.array
The array shape depends on the image type: (M, N) for grayscale images. (M, N, 3) for RGB images. (M, N, 4) for RGBA images. | |
doc_21568 | Moves the dimension(s) of input at the position(s) in source to the position(s) in destination. Other dimensions of input that are not explicitly moved remain in their original order and appear at the positions not specified in destination. Parameters
input (Tensor) – the input tensor.
source (int or tuple of pyth... | |
doc_21569 |
Return whether the artist is to be rasterized. | |
doc_21570 | See Migration guide for more details. tf.compat.v1.raw_ops.RetrieveTPUEmbeddingMDLAdagradLightParameters
tf.raw_ops.RetrieveTPUEmbeddingMDLAdagradLightParameters(
num_shards, shard_id, table_id=-1, table_name='', config='',
name=None
)
An op that retrieves optimization parameters from embedding to host memor... | |
doc_21571 | tf.compat.v1.nn.conv2d_transpose(
value=None, filter=None, output_shape=None, strides=None,
padding='SAME', data_format='NHWC', name=None, input=None,
filters=None, dilations=None
)
This operation is sometimes called "deconvolution" after (Zeiler et al., 2010), but is really the transpose (gradient) of con... | |
doc_21572 | This defaults to BaseInlineFormSet. Using your own formset can give you many possibilities of customization. Inlines are built around model formsets. | |
doc_21573 |
Calculate total Crofton perimeter of all objects in binary image. Parameters
image(N, M) ndarray
2D image. If image is not binary, all values strictly greater than zero are considered as the object.
directions2 or 4, optional
Number of directions used to approximate the Crofton perimeter. By default, 4 is u... | |
doc_21574 |
Bases: matplotlib.patches.Patch A fancy box around a rectangle with lower left at xy = (x, y) with specified width and height. FancyBboxPatch is similar to Rectangle, but it draws a fancy box around the rectangle. The transformation of the rectangle box to the fancy box is delegated to the style classes defined in Bo... | |
doc_21575 | Interpret the argument as though it had been typed in response to the prompt. This may be overridden, but should not normally need to be; see the precmd() and postcmd() methods for useful execution hooks. The return value is a flag indicating whether interpretation of commands by the interpreter should stop. If there i... | |
doc_21576 |
Predict target for X. 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.
**predict_paramsdict of str -> obj
Parameters to the predict called by the final_estimator. Note that this may b... | |
doc_21577 | turtle.done()
Starts event loop - calling Tkinter’s mainloop function. Must be the last statement in a turtle graphics program. Must not be used if a script is run from within IDLE in -n mode (No subprocess) - for interactive use of turtle graphics. >>> screen.mainloop() | |
doc_21578 | The DocTest object that was being run when the example failed. | |
doc_21579 | Example: request.session['fav_color'] = 'blue' | |
doc_21580 |
Draw samples from a von Mises distribution. Samples are drawn from a von Mises distribution with specified mode (mu) and dispersion (kappa), on the interval [-pi, pi]. The von Mises distribution (also known as the circular normal distribution) is a continuous probability distribution on the unit circle. It may be tho... | |
doc_21581 | Throws AssertionError if opname is found. | |
doc_21582 | Establishes a connection to a predefined registry handle on another computer, and returns a handle object. computer_name is the name of the remote computer, of the form r"\\computername". If None, the local computer is used. key is the predefined handle to connect to. The return value is the handle of the opened key. I... | |
doc_21583 |
Predict confidence scores for samples. The confidence score for a sample is proportional to the signed distance of that sample to the hyperplane. Parameters
Xarray-like or sparse matrix, shape (n_samples, n_features)
Samples. Returns
array, shape=(n_samples,) if n_classes == 2 else (n_samples, n_classes)
... | |
doc_21584 | Performs key view initialization prior to dispatch(). If overriding this method, you must call super(). | |
doc_21585 | See Migration guide for more details. tf.compat.v1.sysconfig.get_link_flags
tf.sysconfig.get_link_flags()
Returns The link flags. | |
doc_21586 | tf.compat.v1.nn.quantized_avg_pool(
input, min_input, max_input, ksize, strides, padding, name=None
)
Args
input A Tensor. Must be one of the following types: qint8, quint8, qint32, qint16, quint16. 4-D with shape [batch, height, width, channels].
min_input A Tensor of type float32. The float value ... | |
doc_21587 |
Call transform on the estimator with the best found parameters. Only available if the underlying estimator supports transform and refit=True. Parameters
Xindexable, length n_samples
Must fulfill the input assumptions of the underlying estimator. | |
doc_21588 |
Bases: object Parse the AFM file in file object fh. propertyfamily_name
The font family name, e.g., 'Times'.
get_angle()[source]
Return the fontangle as float.
get_bbox_char(c, isord=False)[source]
get_capheight()[source]
Return the cap height as float.
get_familyname()[source]
Return the fo... | |
doc_21589 | See Migration guide for more details. tf.compat.v1.constant_initializer, tf.compat.v1.initializers.constant, tf.compat.v1.keras.initializers.constant
tf.compat.v1.keras.initializers.Constant(
value=0, dtype=tf.dtypes.float32, verify_shape=False
)
The resulting tensor is populated with values of type dtype, as sp... | |
doc_21590 | sklearn.metrics.f1_score(y_true, y_pred, *, labels=None, pos_label=1, average='binary', sample_weight=None, zero_division='warn') [source]
Compute the F1 score, also known as balanced F-score or F-measure. The F1 score can be interpreted as a weighted average of the precision and recall, where an F1 score reaches its... | |
doc_21591 |
Subdivision of polygonal curves using B-Splines. Note that the resulting curve is always within the convex hull of the original polygon. Circular polygons stay closed after subdivision. Parameters
coords(N, 2) array
Coordinate array.
degree{1, 2, 3, 4, 5, 6, 7}, optional
Degree of B-Spline. Default is 2.
... | |
doc_21592 |
Majority filter assign to each pixel the most occuring value within its neighborhood. Parameters
imagendarray
Image array (uint8, uint16 array).
selem2-D array (integer or float)
The neighborhood expressed as a 2-D array of 1’s and 0’s.
outndarray (integer or float), optional
If None, a new array will b... | |
doc_21593 | True if the address is reserved for link-local usage. See RFC 3927. | |
doc_21594 |
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_21595 | Details for a bytecode operation
opcode
numeric code for operation, corresponding to the opcode values listed below and the bytecode values in the Opcode collections.
opname
human readable name for operation
arg
numeric argument to operation (if any), otherwise None
argval
resolved arg value (if k... | |
doc_21596 |
Autoscale the scalar limits on the norm instance using the current array | |
doc_21597 | human readable name for operation | |
doc_21598 |
Flushes the event file to disk. Call this method to make sure that all pending events have been written to disk. | |
doc_21599 |
Fit Ridge classifier model. Parameters
X{ndarray, sparse matrix} of shape (n_samples, n_features)
Training data.
yndarray of shape (n_samples,)
Target values.
sample_weightfloat or ndarray of shape (n_samples,), default=None
Individual weights for each sample. If given a float, every sample will have th... |
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