3600c23f6c7e20ac9492f1dd3604019b933923d6,deepchem/models/sklearn_models/__init__.py,SklearnModel,fit,#SklearnModel#Any#,40

Before Change

      Xs.append(X_batch)
      ys.append(y_batch)
      ws.append(w_batch)
    X = np.concatenate(Xs)
    y = np.concatenate(ys).ravel()
    w = np.concatenate(ws).ravel()
    self.raw_model.fit(X, y, w)

After Change

    print("X")
    print(X)
    print("y")
    print(y)
    self.raw_model.fit(X, y, w)
    y_pred_raw = self.raw_model.predict(X)

  def predict_on_batch(self, X):

Instances