Post process

Step 6 of the pipeline.

Post-process modifies the user and global models, typically with the goal of yielding more human-readible scores.

PostProcess

Bases: ABC

__call__

__call__(
    user_models: Mapping[int, ScoringModel],
    global_model: ScoringModel,
    entities: DataFrame,
) -> tuple[Mapping[int, ScoringModel], ScoringModel]

Post-processes user models and global models, typically to yield human-readible scores

Parameters:

Name	Type	Description	Default
user_models	Mapping[int, ScoringModel]		required
global_model	ScoringModel		required
entities	DataFrame	entity_id (int, index)	required

Returns:

Name	Type	Description
user_models	post-processed user models
global_model	post-processed global model

NoPostProcess

Bases: PostProcess

__call__

__call__(
    user_models: dict[int, ScoringModel],
    global_model: ScoringModel,
    entities: DataFrame,
) -> tuple[dict[int, ScoringModel], ScoringModel]

Post-processes user models and global models, typically to yield human-readible scores

Parameters:

Name	Type	Description	Default
user_models	dict[int, ScoringModel]		required
global_model	ScoringModel		required
entities	DataFrame	entity_id (int, index)	required

Returns:

Name	Type	Description
user_models	post-processed user models
global_model	post-processed global model

Squash

Squash(score_max: float = 100.0)

Bases: PostProcess

__call__

__call__(
    user_models: Mapping[int, ScoringModel],
    global_model: ScoringModel,
    entities: Optional[DataFrame] = None,
) -> tuple[Mapping[int, ScoringModel], ScoringModel]

Post-processes user models and global models, typically to yield human-readable scores

Parameters:

Name	Type	Description	Default
user_models	Mapping[int, ScoringModel]		required
global_model	ScoringModel		required
entities	Optional[DataFrame]	entity_id (int, index)	None

Returns:

Name	Type	Description
user_models	post-processed user models
global_model	post-processed global model