nnmnkwii.util.trim_zeros_frames¶

nnmnkwii.util.trim_zeros_frames(x, eps=1e-07)[source]¶

Remove trailling zeros frames.

Similar to numpy.trim_zeros(), trimming trailing zeros features.

Parameters:	x (numpy.ndarray) – Feature matrix, shape (`T x D`) eps (float) – Values smaller than `eps` considered as zeros.
Returns:	Trimmed 2d feature matrix, shape (`T' x D`)
Return type:	numpy.ndarray

Examples

>>> import numpy as np
>>> from nnmnkwii.util import trim_zeros_frames
>>> x = np.random.rand(100,10)
>>> y = trim_zeros_frames(x)