statistic
Handle statistics.
Stat
#
Represents a statistic for the explainable model.
HistogramStat
#
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.