regression.py 文件源码

python
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项目:course-1 作者: thoughtfulml 项目源码 文件源码
def error_rate(self, folds):
    holdout = 1 / float(folds)
    errors = []
    for fold in range(folds):
      y_hat, y_true = self.__validation_data(holdout)
      # TODO: Take a look at sklearn.metrics to see if any other metric you might want to look at
      errors.append(mean_absolute_error(y_true, y_hat))

    return errors
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