tft.tukey_h_params
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Computes the h parameters of the values of a Tensor
over the dataset.
tft.tukey_h_params(
x: common_types.TensorType,
reduce_instance_dims: bool = True,
output_dtype: Optional[tf.DType] = None,
name: Optional[str] = None
) -> Tuple[tf.Tensor, tf.Tensor]
This computes the parameters (hl, hr) of the samples, assuming a Tukey HH
distribution, i.e. (x - tukey_location) / tukey_scale is a Tukey HH
distribution with parameters hl (left parameter) and hr (right parameter).
See the following publication for the definition of the Tukey HH distribution:
Todd C. Headrick, and Mohan D. Pant. "Characterizing Tukey h and
hh-Distributions through L-Moments and the L-Correlation," ISRN Applied
Mathematics, vol. 2012, 2012. doi:10.5402/2012/980153
Args |
x
|
A Tensor , SparseTensor , or RaggedTensor . Its type must be floating
point (float{16|32|64}), or integral ([u]int{8|16|32|64}).
|
reduce_instance_dims
|
By default collapses the batch and instance dimensions
to arrive at a single scalar output. If False, only collapses the batch
dimension and outputs a vector of the same shape as the input.
|
output_dtype
|
(Optional) If not None, casts the output tensor to this type.
|
name
|
(Optional) A name for this operation.
|
Returns |
The tuple (hl, hr) containing two Tensor instances with the hl and hr
parameters. If x is floating point, each parameter will have the same type
as x . If x is integral, the output is cast to float32.
|
Raises |
TypeError
|
If the type of x is not supported.
|
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Last updated 2024-04-26 UTC.
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