535923e2b752ab44be4516b10947f02acfb44769,celer/wrapper.py,,celer,#,14

Before Change

            X = np.asfortranarray(X)
    else:
        if X.getformat() != "csc" or not X.has_sorted_indices:
            raise ValueError("Give X as csc matrix with sorted indices")

    n_features = X.shape[1]
    if beta_init is None:
        beta_init = np.zeros(n_features)

After Change

            raise TypeError("Sparse X must be in column sparse format with "
                            "sorted indices.")
    // cython function only accepts float64 for X and y:
    if X.dtype != "float64":
        X = X.astype(np.float64)
    if y.dtype != "float64":
        y = y.astype(np.float64)

    n_features = X.shape[1]

Instances