INNER CODE UNIT · Python

handler_function

fabsig/GPBoost · python-package/gpboost/engine.py:414

        def handler_function(*args, **kwargs):
            """Call methods with each booster, and concatenate their results."""
            ret = []
            for booster in self.boosters:
                ret.append(getattr(booster, name)(*args, **kwargs))
            return ret

        return handler_function


def _make_n_folds(full_data, folds, nfold, params, seed, gp_model=None, use_gp_model_for_validation=True,
                  fpreproc=None, stratified=False, shuffle=True, eval_train_metric=False):
    """Make a n-fold list of Booster from random indices."""
    full_data = full_data.construct()
    num_data = full_data.num_data()
    if folds is not None:
        if not hasattr(folds, '__iter__') and not hasattr(folds, 'split'):
            raise AttributeError("folds should be a generator or iterator of (train_idx, test_idx) tuples "

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