TabularPredictor.predict_oof¶
- TabularPredictor.predict_oof(model: str | None = None, *, transformed=False, train_data=None, internal_oof=False, decision_threshold=None, can_infer=None) Series [source]¶
Note: This is advanced functionality not intended for normal usage.
Returns the out-of-fold (OOF) predictions for every row in the training data.
For more information, refer to predict_proba_oof() documentation.
- Parameters:
model (str (optional)) – Refer to predict_proba_oof() documentation.
transformed (bool, default = False) – Refer to predict_proba_oof() documentation.
train_data (pd.DataFrame, default = None) – Refer to predict_proba_oof() documentation.
internal_oof (bool, default = False) – Refer to predict_proba_oof() documentation.
decision_threshold (float, default = None) – Refer to predict_multi documentation.
can_infer (bool, default = None) – Refer to predict_proba_oof() documentation.
- Return type:
pd.Series
object of the out-of-fold training predictions of the model.