METRIC_NAMES

breakdown.METRIC_NAMES

Mapping of internal evaluation metric names to human-readable display names.

add_agg_columns

breakdown.add_agg_columns

Adds aggregation columns to a list of DataFrames based on a property map.

add_agg_columns(dfs, agg_columns, prop_map)

Parameter	Type	Default	Description
dfs		-	(undocumented)
agg_columns		-	(undocumented)
prop_map		-	(undocumented)

aggregate_df

breakdown.aggregate_df

Aggregate each DataFrame using the specified method and return (agg_df, signature) pairs.

aggregate_df(dfs, signatures, agg_column, eval_columns, agg_method='mean', weight_col='num_variates')

Parameter	Type	Default	Description
dfs		-	(undocumented)
signatures		-	(undocumented)
agg_column		-	(undocumented)
eval_columns		-	(undocumented)
agg_method		'mean'	(undocumented)
weight_col		'num_variates'	(undocumented)

get_breakdown_table

breakdown.get_breakdown_table

Generate pivot tables for evaluation metrics by model and aggregation column.

get_breakdown_table(dfs, signatures, agg_column, eval_columns, agg_method='mean', weight_col='num_variates')

Parameter	Type	Default	Description
dfs		-	(undocumented)
signatures		-	(undocumented)
agg_column		-	(undocumented)
eval_columns		-	(undocumented)
agg_method		'mean'	(undocumented)
weight_col		'num_variates'	(undocumented)

expand_complex_column

breakdown.expand_complex_column

Expands nested list columns (like 'variates_types' or 'domain') into multiple rows, assigning counts where applicable.

expand_complex_column(dfs, agg_column='')

Parameter	Type	Default	Description
dfs		-	(undocumented)
agg_column		''	(undocumented)