BaselineConstant
- class BaselineConstant(x, y, model_type: str = None, loss: str = None, metrics: list[str] = None, constant: float = 0)[source]
Bases:
_Baseline
Baseline constant model.
Methods Summary
build
()Build the model.
compile
(**kwargs)Compile the model.
fit
(**kwargs)Fit the model.
get_auc
()Get the AUC score.
predict
([data])Predict.
predict_proba
([data])Predict probabilities.
Residuals.
score
([on])Score the model.
Set the arrays.
Methods Documentation
- build() None
Build the model.
- compile(**kwargs) None
Compile the model.
- Parameters
**kwargs – Additional arguments to pass to the compile method.
- fit(**kwargs) None
Fit the model.
- Parameters
**kwargs – Additional arguments to pass to the fit method.
- get_auc() float
Get the AUC score.
- predict(data: Optional[Panel] = None, **kwargs) Panel
Predict.
- Parameters
data (
Panel
) – Panel of data to predict.**kwargs – Additional arguments to pass to the predict method.
- Returns
Panel
of predicted values.
- predict_proba(data: Optional[Panel] = None, **kwargs) Panel
Predict probabilities.
- Parameters
data (
Panel
) – Panel of data to predict.**kwargs – Additional arguments to pass to the predict method.
- Returns
Panel of predicted probabilities.
- score(on: list[str] | str = None, **kwargs) pd.DataFrame
Score the model.
- Parameters
on (
list[str]
orstr
) – Columns to score on.**kwargs – Additional arguments to pass to the score method.
- Returns
Panel of scores.