nnmnkwii.preprocessing.minmax

nnmnkwii.preprocessing.minmax(dataset, lengths=None)

Min/max computation given a iterable dataset

Dataset can have variable length samples. In that cases, you need to explicitly specify lengths for all the samples.

Parameters

• dataset (nnmnkwii.datasets.Dataset) – Dataset

• lengths – (list): Frame lengths for each dataset sample.

See also

nnmnkwii.preprocessing.minmax_scale()

Examples

>>> from nnmnkwii.preprocessing import minmax
>>> from nnmnkwii.util import example_file_data_sources_for_acoustic_model
>>> from nnmnkwii.datasets import FileSourceDataset
>>> X, Y = example_file_data_sources_for_acoustic_model()
>>> X, Y = FileSourceDataset(X), FileSourceDataset(Y)
>>> lengths = [len(x) for x in X]
>>> data_min, data_max = minmax(X, lengths)