pylint/nosestests fixes

      y_preds = []

      for j in range(len(interval_points)-1):

        indices = range(interval_points[j], interval_points[j+1])

        y_pred_on_batch = self.predict_on_batch(X[indices, :])

        #y_pred_on_batch = np.reshape(y_pred_on_batch, (len(indices),))

        y_pred_on_batch = self.predict_on_batch(X[indices, :]).reshape((len(indices),len(task_names)))

        y_preds.append(y_pred_on_batch)

      y_pred = np.concatenate(y_preds)

  def _standardize_df(self, ori_df):

    """Copy specified columns to new df with standard column names."""

    df = pd.DataFrame([])

    print("ori_df.keys()")

    print(ori_df.keys())

    df["mol_id"] = ori_df[[self.id_field]]

    df["smiles"] = ori_df[[self.smiles_field]]

    for task in self.tasks: