BernoulliSampler¶

class tfsnippet.preprocessing.BernoulliSampler(dtype=<type 'numpy.int32'>, random_state=None)¶

Bases: tfsnippet.preprocessing.samplers.BaseSampler

A DataMapper which can sample 0/1 integers according to the input probability. The input is assumed to be float numbers range within [0, 1) or [0, 1].

Attributes Summary

dtype Get the data type of the sampled array.

Methods Summary

`__call__`(*arrays)	Transform the input arrays into outputs.
`sample`(x)	Sample array according to x.

Attributes Documentation

dtype¶: Get the data type of the sampled array.

Methods Documentation

__call__(*arrays)¶

Transform the input arrays into outputs.

Parameters:	*arrays – Arrays to be transformed.
Returns:	The output arrays.
Return type:	tuple[np.ndarray]

sample(x)¶

Sample array according to x.

Parameters:	x (np.ndarray) – The input x array.
Returns:	The sampled array.
Return type:	np.ndarray