4763804450814a9f4a17935dc6cea68f6656ba72,src/fonduer/learning/disc_models/logistic_regression.py,LogisticRegression,_preprocess_data,#LogisticRegression#Any#Any#Any#Any#,40

Before Change

        if idxs is None:
            if Y is not None:
                return [(C[i], F[i]) for i in range(len(C))], Y
            else:
                return [(C[i], F[i]) for i in range(len(C))]
        if Y is not None:

After Change

        if issparse(F):
            F = np.array(F.todense(), dtype=np.float32)

        if Y is not None:
            Y = np.array(Y).astype(np.float32)

        if idxs is None:
            if Y is not None:
                return F, Y
            else:

Instances