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statistic

Handle statistics.

Stat #

Represents a statistic for the explainable model.

HistogramStat #

Histogram statistics metric.

Parameters:

Name Type Description Default
on Literal[str, str, str]
required
num_bins int
required
num_items int
required

on: Literal['target', 'prediction', 'prediction_error'] #

num_bins: int #

num_items: int #

VarianceStat #

Histogram statistics metric.

Parameters:

Name Type Description Default
on Literal[str, str]
required

on: Literal['target', 'prediction'] #

DistributionStat #

Distribution statistics metric.

Parameters:

Name Type Description Default
on Literal[str, str]
required

on: Literal['target', 'prediction'] #

DictStats #

Dictionary of statistics (torch eval etc...) used in training or explain.

Each metric will be computed globally (for the whole model) and per leaf.

Train: to monitor the training Explain: to visualize metrics in xpdeep-viz along with explanations.