pyphi.matching.matching.MatchingResult#

class pyphi.matching.matching.MatchingResult(value, seed, n_trials, k, world_differentiation, noise_differentiation, subsequence=None)[source]#

Bases: object

The result of a matching computation (Eq. 21).

Carries everything needed to reproduce the value: the seed, the sampling parameters, and the per-trial perceptual differentiation of the world and noise sequences.

Variables:

  • value (float) – The matching estimate: the mean of world_differentiation minus the mean of noise_differentiation.

  • seed (int) – The seed of the RNG used to draw the sequences.

  • n_trials (int) – The number of paired world/noise sequences sampled.

  • k (int) – The length of each sampled stimulus sequence.

  • world_differentiation (tuple of float) – Per-trial perceptual differentiation of the world sequences.

  • noise_differentiation (tuple of float) – Per-trial perceptual differentiation of the noise sequences.

  • subsequence (tuple of int or None) – The winning 1-based inclusive window (a, b) when the maximum was taken over contiguous subsequences; None when the full sequence was used. The per-trial values are those of this window.

Parameters: