fixes.py 文件源码

def _cv_len(cv, X, y):
    """This method computes the length of a cross validation
    object, agnostic of whether sklearn-0.17 or sklearn-0.18
    is being used.

    Parameters
    ----------

    cv : `sklearn.cross_validation._PartitionIterator` or `sklearn.model_selection.BaseCrossValidator`
        The cv object from which to extract length. If using
        sklearn-0.17, this can be computed by calling `len` on
        ``cv``, else it's computed with `cv.get_n_splits(X, y)`.

    X : pd.DataFrame or np.ndarray, shape(n_samples, n_features)
        The dataframe or np.ndarray being fit in the grid search.

    y : np.ndarray, shape(n_samples,)
        The target being fit in the grid search.

    Returns
    -------

    int
    """
    return len(cv) if not SK18 else cv.get_n_splits(X, y)