shared_predict_utils

class recipes.cpc3.baseline.shared_predict_utils.LogisticModel[source]

Bases: object

Class to represent a logistic mapping.

Fits a logistic mapping from input values x to output values y.

fit(x, y)[source]: Fit a mapping from x values to y values.

params: ndarray | None = None

predict(x)[source]

Predict y values given x.

Raises:: TypeError – If the predict() method is called before fit().

recipes.cpc3.baseline.shared_predict_utils.load_dataset_with_haspi(cfg, split: str) → DataFrame[source]: Load dataset and add HASPI scores.

recipes.cpc3.baseline.shared_predict_utils.make_disjoint_train_set(full_df: DataFrame, test_df: DataFrame) → DataFrame[source]: Make a disjoint train set for given test samples.