4ed84466b5e4bb5165d29a41ce27602d13ff64db,deepchem/models/__init__.py,Model,predict,#Model#Any#,144

Before Change

      y_preds = []
      for j in range(len(interval_points)-1):
        indices = range(interval_points[j], interval_points[j+1])
        y_preds.append(self.predict_on_batch(X[indices, :]))
      y_pred = np.concatenate(y_preds)
      y_pred = np.reshape(y_pred, np.shape(y))

After Change

      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_preds.append(y_pred_on_batch)

      y_pred = np.concatenate(y_preds)
      y_pred = np.reshape(y_pred, np.shape(y))

Instances