gaussian.extensions¶

A complete extension example. The framework, experiment and trainer are unchanged.

Select it in settings_analysis.py: “analysis”: “gaussian.extensions:ExtendedAnalysis”, and add “median_absolute_bias” and “parameter_count” to “metrics” and “observation_histogram” to “plots”.

Classes¶

ExtendedAnalysis

What is computed from trained models: shared datasets, metrics and plots. Never trains.

Functions¶

`median_absolute_bias`(context, dependencies)
`parameter_count`(context, dependencies)
`observation_histogram`(context, dependencies)

Module Contents¶

gaussian.extensions.median_absolute_bias(context, dependencies)¶

gaussian.extensions.parameter_count(context, dependencies)¶

gaussian.extensions.observation_histogram(context, dependencies)¶

class gaussian.extensions.ExtendedAnalysis¶

Bases: gaussian.analysis.GaussianAnalysis

What is computed from trained models: shared datasets, metrics and plots. Never trains.

Selected by “analysis” in the analysis settings. “training” and “model” are the reserved datasets every product, metric and plot may depend on.

metrics()¶

plots()¶