Table Of Contents
Table Of Contents

gluonts.testutil module

gluonts.testutil.TemporaryDirectory()[source]
gluonts.testutil.chunks(l, n)[source]

Yield successive n-sized chunks from l.

gluonts.testutil.empirical_cdf(samples: numpy.ndarray, num_bins: int = 100) → Tuple[numpy.ndarray, numpy.ndarray][source]

Calculate the empricial cdf from the given samples.

Parameters:samples – Tensor of samples of shape (num_samples, batch_shape)
Returns:
  • Tensor – Emprically calculated cdf values. shape (num_bins, batch_shape)
  • Tensor – Bin edges corresponding to the cdf values. shape (num_bins + 1, batch_shape)