tabensemb.data.datasplitter.RandomSplitter#
- class tabensemb.data.datasplitter.RandomSplitter(train_val_test: List | ndarray | None = None, cv: int = -1)[source]#
Bases:
AbstractSplitterRandomly split the dataset.
Methods
- __init__(train_val_test: List | ndarray | None = None, cv: int = -1)#
_next_cv(df, cont_feature_names, ...)Get the next fold of indices of training, validation, and testing sets.
_split(df, cont_feature_names, ...)