def test_regression(self):
print('testing regression metric')
regression_metric.R2Score().compute(self.reg_score, self.reg_label)
regression_metric.MSE().compute(self.reg_score, self.reg_label)
regression_metric.RMSE().compute(self.reg_score, self.reg_label)
regression_metric.ExplainedVariance().compute(self.reg_score, self.reg_label)
regression_metric.Describe().compute(self.reg_score)
def r2_score(labels, pred_scores):
"""
Compute R^2 (coefficient of determination) score
Parameters
----------
labels: value list. The labels of data set.
pred_scores: value list. The predict results of model. It should be corresponding to labels each data.
Returns
----------
float
The R^2 score
"""
return regression_metric.R2Score().compute(labels, pred_scores)