getml.pipeline.score

Score dataclass

Score(date_time: datetime, set_used: str, target: str)

Bases: ABC

ClassificationScore dataclass

ClassificationScore(
    date_time: datetime,
    set_used: str,
    target: str,
    accuracy: float,
    auc: float,
    cross_entropy: float,
)

Bases: Score

Dataclass that holds data of a scoring run for a classification pipeline.

PARAMETER	DESCRIPTION
accuracy	The accuracy of the classification. TYPE: float
auc	The area under the curve: auc. TYPE: float
cross_entropy	The cross_entropy. TYPE: float

RegressionScore dataclass

RegressionScore(
    date_time: datetime,
    set_used: str,
    target: str,
    mae: float,
    rmse: float,
    rsquared: float,
)

Bases: Score

Dataclass that holds data of a scoring run for a regression pipeline.

PARAMETER	DESCRIPTION
mae	The mean absolute error: mae TYPE: float
rmse	The root mean squared error: rmse TYPE: float
rsquared	The squared correlation coefficient: rsquared TYPE: float