LocScalePTM.summarise_trafo_by_samples()

LocScalePTM.summarise_trafo_by_samples()#

LocScalePTM.summarise_trafo_by_samples(key, grid, samples, n=100)[source]#

Summarise transformation samples on a grid.

Parameters:

  • key (Any | int) – PRNG key or integer seed used to subsample trajectories.

  • grid (Any) – Points at which the transformation is evaluated.

  • samples (dict[str, Any]) – Posterior samples dictionary used to build the distribution.

  • n (int) – Number of sampled trajectories to return. (default: 100)

Return type:

DataFrame

Returns:

DataFrame – DataFrame with sampled trajectories and plotting metadata.

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