getml.pipeline.score

Score `dataclass`

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

Bases: ABC

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(
    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`