fba0fc9d72e984e73c8ed0de1e57bc37bbe8f676,Orange/statistics/util.py,,_count_nans_per_row_sparse,#Any#Any#Any#,14

Before Change

        return np.fromiter((np.sum(row.data) for row in w), dtype=dtype)

    return np.fromiter((np.isnan(row.data).sum() for row in X), dtype=dtype)


def sparse_count_implicit_zeros(x):

After Change

        w = w.tocsr()
        return np.asarray(w.sum(axis=1), dtype=dtype).ravel()

    if isinstance(X, (sp.csr_matrix, sp.csc_matrix)):
        X = type(X)((np.isnan(X.data), X.indices, X.indptr), X.shape)
        return np.asarray(X.sum(axis=1), dtype=dtype).ravel()
    else:  // pragma: no cover
        raise TypeError("unsupported type "{}"".format(type(X).__name__))


def sparse_count_implicit_zeros(x):
     Count the number of implicit zeros in a sparse matrix. 
    if not sp.issparse(x):
        raise TypeError("The matrix provided was not sparse.")

Instances