_id stringlengths 5 9 | text stringlengths 5 385k | title stringclasses 1
value |
|---|---|---|
doc_27600 | Densely Connected Convolutional Networks (CVPR 2017) Functions DenseNet121(...): Instantiates the Densenet121 architecture. DenseNet169(...): Instantiates the Densenet169 architecture. DenseNet201(...): Instantiates the Densenet201 architecture. decode_predictions(...): Decodes the prediction of an ImageNet model. pre... | |
doc_27601 |
Get the artist's bounding box in display space. The bounding box' width and height are nonnegative. Subclasses should override for inclusion in the bounding box "tight" calculation. Default is to return an empty bounding box at 0, 0. Be careful when using this function, the results will not update if the artist windo... | |
doc_27602 | A string representing the MIME type of the request, parsed from the CONTENT_TYPE header. | |
doc_27603 |
This is the quantized version of InstanceNorm3d. Additional args:
scale - quantization scale of the output, type: double.
zero_point - quantization zero point of the output, type: long. | |
doc_27604 | The HTTP status used for error responses. This should be a status string as defined in PEP 3333; it defaults to a 500 code and message. | |
doc_27605 | A QuerySet that represents the objects. If provided, the value of queryset supersedes the value provided for model. Warning queryset is a class attribute with a mutable value so care must be taken when using it directly. Before using it, either call its all() method or retrieve it with get_queryset() which takes care ... | |
doc_27606 | tf.metrics.MeanAbsoluteError Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.metrics.MeanAbsoluteError
tf.keras.metrics.MeanAbsoluteError(
name='mean_absolute_error', dtype=None
)
Args
name (Optional) string name of the metric instance.
dtype (Optional) data t... | |
doc_27607 | The string value to replace sensitive value with. By default it replaces the values of sensitive variables with stars (**********). | |
doc_27608 | Return a random floating point number N such that low <= N <= high and with the specified mode between those bounds. The low and high bounds default to zero and one. The mode argument defaults to the midpoint between the bounds, giving a symmetric distribution. | |
doc_27609 | If the debugger should stop at this exception, invokes the user_exception() method (which should be overridden in subclasses). Raise a BdbQuit exception if the Bdb.quitting flag is set (which can be set from user_exception()). Return a reference to the trace_dispatch() method for further tracing in that scope. | |
doc_27610 | Report that the test runner is about to process the given example. This method is provided to allow subclasses of DocTestRunner to customize their output; it should not be called directly. example is the example about to be processed. test is the test containing example. out is the output function that was passed to Do... | |
doc_27611 |
Set the DataFrame index using existing columns. Set the DataFrame index (row labels) using one or more existing columns or arrays (of the correct length). The index can replace the existing index or expand on it. Parameters
keys:label or array-like or list of labels/arrays
This parameter can be either a single ... | |
doc_27612 |
Get the text of the label. | |
doc_27613 |
Tracer is the class that implements the symbolic tracing functionality of torch.fx.symbolic_trace. A call to symbolic_trace(m) is equivalent to Tracer().trace(m). Tracer can be subclassed to override various behaviors of the tracing process. The different behaviors that can be overridden are described in the docstrin... | |
doc_27614 | Only used when a custom intermediary model is specified. Django will normally determine which fields of the intermediary model to use in order to establish a many-to-many relationship automatically. However, consider the following models: from django.db import models
class Person(models.Model):
name = models.CharF... | |
doc_27615 |
Performs linear Principal Component Analysis (PCA) on a low-rank matrix, batches of such matrices, or sparse matrix. This function returns a namedtuple (U, S, V) which is the nearly optimal approximation of a singular value decomposition of a centered matrix AA such that A=Udiag(S)VTA = U diag(S) V^T . Note The rel... | |
doc_27616 | The index after the last invalid data in object. | |
doc_27617 |
Alias for set_fontproperties. | |
doc_27618 | The first child of the node, if there are any, or None. This is a read-only attribute. | |
doc_27619 | tf.experimental.numpy.finfo(
dtype
)
Note that currently it just forwards to the numpy namesake, while tensorflow and numpy dtypes may have different properties. See the NumPy documentation for numpy.finfo. | |
doc_27620 | This function returns an object that describes the resources consumed by either the current process or its children, as specified by the who parameter. The who parameter should be specified using one of the RUSAGE_* constants described below. A simple example: from resource import *
import time
# a non CPU-bound task
... | |
doc_27621 |
Fiscal year the Period lies in according to its starting-quarter. The year and the qyear of the period will be the same if the fiscal and calendar years are the same. When they are not, the fiscal year can be different from the calendar year of the period. Returns
int
The fiscal year of the period. See also ... | |
doc_27622 |
Return whether ticks are drawn inside or outside the axes. | |
doc_27623 | Called when the transport’s buffer drains below the low watermark. | |
doc_27624 | See Migration guide for more details. tf.compat.v1.raw_ops.QueueEnqueue
tf.raw_ops.QueueEnqueue(
handle, components, timeout_ms=-1, name=None
)
The components input has k elements, which correspond to the components of tuples stored in the given queue. N.B. If the queue is full, this operation will block until t... | |
doc_27625 |
Gathers a list of tensors in a single process. Parameters
tensor (Tensor) – Input tensor.
gather_list (list[Tensor], optional) – List of appropriately-sized tensors to use for gathered data (default is None, must be specified on the destination rank)
dst (int, optional) – Destination rank (default is 0)
group ... | |
doc_27626 |
Alias for get_markeredgecolor. | |
doc_27627 | Constructor for a FIFO queue. maxsize is an integer that sets the upperbound limit on the number of items that can be placed in the queue. Insertion will block once this size has been reached, until queue items are consumed. If maxsize is less than or equal to zero, the queue size is infinite. | |
doc_27628 | operator.__concat__(a, b)
Return a + b for a and b sequences. | |
doc_27629 | Load cookies from a file. Old cookies are kept unless overwritten by newly loaded ones. Arguments are as for save(). The named file must be in the format understood by the class, or LoadError will be raised. Also, OSError may be raised, for example if the file does not exist. Changed in version 3.3: IOError used to be... | |
doc_27630 | Return the turtle’s current heading (value depends on the turtle mode, see mode()). >>> turtle.home()
>>> turtle.left(67)
>>> turtle.heading()
67.0 | |
doc_27631 | In-place version of reciprocal() | |
doc_27632 | setDaemon()
Old getter/setter API for daemon; use it directly as a property instead. | |
doc_27633 |
Length of one array element in bytes. Examples >>> x = np.array([1,2,3], dtype=np.float64)
>>> x.itemsize
8
>>> x = np.array([1,2,3], dtype=np.complex128)
>>> x.itemsize
16 | |
doc_27634 |
Groupby iterator. Returns
Generator yielding sequence of (name, subsetted object)
for each group | |
doc_27635 |
Sort an array in-place. Refer to numpy.sort for full documentation. Parameters
axisint, optional
Axis along which to sort. Default is -1, which means sort along the last axis.
kind{‘quicksort’, ‘mergesort’, ‘heapsort’, ‘stable’}, optional
Sorting algorithm. The default is ‘quicksort’. Note that both ‘stable... | |
doc_27636 | The full name of a template to use as defined by a string. Not defining a template_name will raise a django.core.exceptions.ImproperlyConfigured exception. | |
doc_27637 |
Fit to data, then transform it. Fits transformer to X and y with optional parameters fit_params and returns a transformed version of X. Parameters
Xarray-like of shape (n_samples, n_features)
Input samples.
yarray-like of shape (n_samples,) or (n_samples, n_outputs), default=None
Target values (None for uns... | |
doc_27638 | This is a variant of torch.quantile() that “ignores” NaN values, computing the quantiles q as if NaN values in input did not exist. If all values in a reduced row are NaN then the quantiles for that reduction will be NaN. See the documentation for torch.quantile(). Parameters
input (Tensor) – the input tensor.
q (... | |
doc_27639 |
Bases: matplotlib.scale.ScaleBase Provide an arbitrary scale with user-supplied function for the axis. Parameters
axisAxis
The axis for the scale.
functions(callable, callable)
two-tuple of the forward and inverse functions for the scale. The forward function must be monotonic. Both functions must have the ... | |
doc_27640 | The get_queryset method on a ModelAdmin returns a QuerySet of all model instances that can be edited by the admin site. One use case for overriding this method is to show objects owned by the logged-in user: class MyModelAdmin(admin.ModelAdmin):
def get_queryset(self, request):
qs = super().get_queryset(req... | |
doc_27641 | See torch.argsort() | |
doc_27642 | Convert samples in the audio fragment to u-LAW encoding and return this as a bytes object. u-LAW is an audio encoding format whereby you get a dynamic range of about 14 bits using only 8 bit samples. It is used by the Sun audio hardware, among others. | |
doc_27643 | This function imports and returns a fresh copy of the named Python module by removing the named module from sys.modules before doing the import. Note that unlike reload(), the original module is not affected by this operation. fresh is an iterable of additional module names that are also removed from the sys.modules ca... | |
doc_27644 | os.O_NOINHERIT
os.O_SHORT_LIVED
os.O_TEMPORARY
os.O_RANDOM
os.O_SEQUENTIAL
os.O_TEXT
The above constants are only available on Windows. | |
doc_27645 |
Compute elastic net path with coordinate descent. The elastic net optimization function varies for mono and multi-outputs. For mono-output tasks it is: 1 / (2 * n_samples) * ||y - Xw||^2_2
+ alpha * l1_ratio * ||w||_1
+ 0.5 * alpha * (1 - l1_ratio) * ||w||^2_2
For multi-output tasks it is: (1 / (2 * n_samples)) * ||... | |
doc_27646 | Return True for ignorable lines. The line line is ignorable if line is blank or contains a single '#', otherwise it is not ignorable. Used as a default for parameter linejunk in ndiff() in older versions. | |
doc_27647 | See Migration guide for more details. tf.compat.v1.errors.UnavailableError
tf.errors.UnavailableError(
node_def, op, message
)
This exception is not currently used.
Attributes
error_code The integer error code that describes the error.
message The error message that describes the error.
node_d... | |
doc_27648 | The HTTP status code for the response. Unless reason_phrase is explicitly set, modifying the value of status_code outside the constructor will also modify the value of reason_phrase. | |
doc_27649 | assertGreaterEqual(first, second, msg=None)
assertLess(first, second, msg=None)
assertLessEqual(first, second, msg=None)
Test that first is respectively >, >=, < or <= than second depending on the method name. If not, the test will fail: >>> self.assertGreaterEqual(3, 4)
AssertionError: "3" unexpectedly not great... | |
doc_27650 |
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 \[V[..., i] = He_i(x),\] where 0 <= i <= deg. The leading indices of V index the elements of x and the last index is the degree of the HermiteE polynomial. I... | |
doc_27651 | Returns the smallest representable number larger than x. | |
doc_27652 | Generates a string representation of an XML element, including all subelements. element is an Element instance. encoding 1 is the output encoding (default is US-ASCII). Use encoding="unicode" to generate a Unicode string (otherwise, a bytestring is generated). method is either "xml", "html" or "text" (default is "xml")... | |
doc_27653 | Selects TLS version 1.1 as the channel encryption protocol. Available only with openssl version 1.0.1+. New in version 3.4. Deprecated since version 3.6: OpenSSL has deprecated all version specific protocols. Use the default protocol PROTOCOL_TLS with flags like OP_NO_SSLv3 instead. | |
doc_27654 | class fractions.Fraction(numerator=0, denominator=1)
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 Fractio... | |
doc_27655 |
Predict classes for X. Parameters
Xarray-like, shape (n_samples, n_features)
The input samples. Returns
yndarray, shape (n_samples,)
The predicted classes. | |
doc_27656 | Called when the other end signals it won’t send any more data (for example by calling transport.write_eof(), if the other end also uses asyncio). This method may return a false value (including None), in which case the transport will close itself. Conversely, if this method returns a true value, the protocol used deter... | |
doc_27657 |
Test element-wise for positive infinity, return result as bool array. Parameters
xarray_like
The input array.
outarray_like, optional
A location into which the result is stored. If provided, it must have a shape that the input broadcasts to. If not provided or None, a freshly-allocated boolean array is retu... | |
doc_27658 | See Migration guide for more details. tf.compat.v1.raw_ops.Acos
tf.raw_ops.Acos(
x, name=None
)
Provided an input tensor, the tf.math.acos operation returns the inverse cosine of each element of the tensor. If y = tf.math.cos(x) then, x = tf.math.acos(y). Input range is [-1, 1] and the output has a range of [0, ... | |
doc_27659 | The namespace URI associated with the reserved prefix xml, as defined by Namespaces in XML (section 4). | |
doc_27660 | Return the next random floating point number in the range [0.0, 1.0). | |
doc_27661 |
Center and scale the data. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
The data used to scale along the specified axis. Returns
X_tr{ndarray, sparse matrix} of shape (n_samples, n_features)
Transformed array. | |
doc_27662 | sklearn.utils.indexable(*iterables) [source]
Make arrays indexable for cross-validation. Checks consistent length, passes through None, and ensures that everything can be indexed by converting sparse matrices to csr and converting non-interable objects to arrays. Parameters
*iterables{lists, dataframes, ndarrays,... | |
doc_27663 | class sklearn.impute.MissingIndicator(*, missing_values=nan, features='missing-only', sparse='auto', error_on_new=True) [source]
Binary indicators for missing values. Note that this component typically should not be used in a vanilla Pipeline consisting of transformers and a classifier, but rather could be added usin... | |
doc_27664 | returns an unmodified image as a string get_raw() -> string Gets an image from a camera as a string in the native pixelformat of the camera. Useful for integration with other libraries. | |
doc_27665 |
Read an image from a file into an array. Note This function exists for historical reasons. It is recommended to use PIL.Image.open instead for loading images. Parameters
fnamestr or file-like
The image file to read: a filename, a URL or a file-like object opened in read-binary mode. Passing a URL is deprecate... | |
doc_27666 | Base class for exceptions raised when problems occur performing string interpolation. | |
doc_27667 |
Plot the sparsity pattern of a 2D array. This visualizes the non-zero values of the array. Two plotting styles are available: image and marker. Both are available for full arrays, but only the marker style works for scipy.sparse.spmatrix instances. Image style If marker and markersize are None, imshow is used. Any ex... | |
doc_27668 |
Use ghostscript's pswrite or epswrite device to distill a file. This yields smaller files without illegal encapsulated postscript operators. The output is low-level, converting text to outlines. | |
doc_27669 |
Return a new array with fields in drop_names dropped. Nested fields are supported. Changed in version 1.18.0: drop_fields returns an array with 0 fields if all fields are dropped, rather than returning None as it did previously. Parameters
basearray
Input array
drop_namesstring or sequence
String or seque... | |
doc_27670 |
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_27671 | tf.data.experimental.StatsAggregator()
To record statistics, use one of the custom transformation functions defined in this module when defining your tf.data.Dataset. All statistics will be aggregated by the StatsAggregator that is associated with a particular iterator (see below). For example, to record the latency o... | |
doc_27672 |
Least squares fit to data. Return a series instance that is the least squares fit to the data y sampled at x. The domain of the returned instance can be specified and this will often result in a superior fit with less chance of ill conditioning. Parameters
xarray_like, shape (M,)
x-coordinates of the M sample p... | |
doc_27673 | Like get_full_path(), but uses path_info instead of path. Example: "/minfo/music/bands/the_beatles/?print=true" | |
doc_27674 | See Migration guide for more details. tf.compat.v1.raw_ops.SerializeManySparse
tf.raw_ops.SerializeManySparse(
sparse_indices, sparse_values, sparse_shape, out_type=tf.dtypes.string,
name=None
)
The SparseTensor must have rank R greater than 1, and the first dimension is treated as the minibatch dimension. E... | |
doc_27675 |
Predict class for X. The predicted class of an input sample is a vote by the trees in the forest, weighted by their probability estimates. That is, the predicted class is the one with highest mean probability estimate across the trees. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
The... | |
doc_27676 |
Return an iterator of the values. These are each a scalar type, which is a Python scalar (for str, int, float) or a pandas scalar (for Timestamp/Timedelta/Interval/Period) Returns
iterator | |
doc_27677 | Returns a mask of the overlapping set bits overlap_mask(othermask, offset) -> Mask Returns a Mask, the same size as this mask, containing the overlapping set bits between this mask and othermask.
Parameters:
othermask (Mask) -- the other mask to overlap with this mask
offset (tuple(int, int) or list[int, int... | |
doc_27678 | See torch.matrix_exp() | |
doc_27679 |
pygame object for color representations Color(r, g, b) -> Color Color(r, g, b, a=255) -> Color Color(color_value) -> Color The Color class represents RGBA color values using a value range of 0 to 255 inclusive. It allows basic arithmetic operations — binary operations +, -, *, //, %, and unary operation ~ — to cre... | |
doc_27680 |
The last colorbar associated with this ScalarMappable. May be None. | |
doc_27681 | The UpdateView page displayed to a GET request uses a template_name_suffix of '_form'. For example, changing this attribute to '_update_form' for a view updating objects for the example Author model would cause the default template_name to be 'myapp/author_update_form.html'. | |
doc_27682 | See Migration guide for more details. tf.compat.v1.raw_ops.FFT
tf.raw_ops.FFT(
input, name=None
)
Computes the 1-dimensional discrete Fourier transform over the inner-most dimension of input.
Args
input A Tensor. Must be one of the following types: complex64, complex128. A complex tensor.
name A n... | |
doc_27683 | sklearn.datasets.load_boston(*, return_X_y=False) [source]
Load and return the boston house-prices dataset (regression).
Samples total 506
Dimensionality 13
Features real, positive
Targets real 5. - 50. Read more in the User Guide. Parameters
return_X_ybool, default=False
If True, returns (data, targe... | |
doc_27684 | See Migration guide for more details. tf.compat.v1.raw_ops.Multinomial
tf.raw_ops.Multinomial(
logits, num_samples, seed=0, seed2=0, output_dtype=tf.dtypes.int64, name=None
)
Args
logits A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, int64, bfloat16, uint16, h... | |
doc_27685 | The method writes a list (or any iterable) of bytes to the underlying socket immediately. If that fails, the data is queued in an internal write buffer until it can be sent. The method should be used along with the drain() method: stream.writelines(lines)
await stream.drain() | |
doc_27686 | Returns True if the given raw string is the correct password for the user. (This takes care of the password hashing in making the comparison.) | |
doc_27687 |
Compute the embedding vectors for data X Parameters
Xarray-like of shape [n_samples, n_features]
training set.
yIgnored
Returns
selfreturns an instance of self. | |
doc_27688 |
Predict the class labels for the provided data. Parameters
Xarray-like of shape (n_queries, n_features), or (n_queries, n_indexed) if metric == ‘precomputed’
Test samples. Returns
yndarray of shape (n_queries,) or (n_queries, n_outputs)
Class labels for each data sample. | |
doc_27689 |
Convert DataFrame to a NumPy record array. Index will be included as the first field of the record array if requested. Parameters
index:bool, default True
Include index in resulting record array, stored in ‘index’ field or using the index label, if set.
column_dtypes:str, type, dict, default None
If a strin... | |
doc_27690 |
Swap the bytes of the array elements Toggle between low-endian and big-endian data representation by returning a byteswapped array, optionally swapped in-place. Arrays of byte-strings are not swapped. The real and imaginary parts of a complex number are swapped individually. Parameters
inplacebool, optional
If ... | |
doc_27691 |
Bases: mpl_toolkits.axisartist.angle_helper.LocatorBase __call__(v1, v2)[source]
Call self as a function. | |
doc_27692 | Fused multiply-add. Return self*other+third with no rounding of the intermediate product self*other. >>> Decimal(2).fma(3, 5)
Decimal('11') | |
doc_27693 |
Efficient subpixel image translation registration by cross-correlation. This code gives the same precision as the FFT upsampled cross-correlation in a fraction of the computation time and with reduced memory requirements. It obtains an initial estimate of the cross-correlation peak by an FFT and then refines the shif... | |
doc_27694 |
Back-projection to the original space. Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)
The data used to scale along the features axis. If a sparse matrix is provided, it will be converted into a sparse csc_matrix. Additionally, the sparse matrix needs to be nonnegative if ignore_implici... | |
doc_27695 |
Convert an image to single-precision (32-bit) floating point format. Parameters
imagendarray
Input image.
force_copybool, optional
Force a copy of the data, irrespective of its current dtype. Returns
outndarray of float32
Output image. Notes The range of a floating point image is [0.0, 1.0] or [... | |
doc_27696 | class tkinter.messagebox.Message(master=None, **options)
Create a default information message box.
Information message box
tkinter.messagebox.showinfo(title=None, message=None, **options)
Warning message boxes
tkinter.messagebox.showwarning(title=None, message=None, **options)
tkinter.messagebox.showerror(t... | |
doc_27697 |
Sets the seed for generating random numbers to a random number for the current GPU. It’s safe to call this function if CUDA is not available; in that case, it is silently ignored. Warning If you are working with a multi-GPU model, this function will only initialize the seed on one GPU. To initialize all GPUs, use se... | |
doc_27698 |
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_27699 |
Apply a CSS-styling function column-wise, row-wise, or table-wise. Updates the HTML representation with the result. Parameters
func:function
func should take a Series if axis in [0,1] and return a list-like object of same length, or a Series, not necessarily of same length, with valid index labels considering s... |
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