Python recommend_num_components示例

示例#1

    def test_recommend_num_components(self):
        dataset = self.create_otago_dataset()
        # eigenvalues = [0.0490834   1.28402771]
        # 96.3% of variance in first principal component

        recommendation1 = pca.recommend_num_components(dataset, 0.95)
        self.assertEqual(recommendation1, 1)

        recommendation2 = pca.recommend_num_components(dataset, 0.97)
        self.assertEqual(recommendation2, 2)

示例#2

 def test_default_recommended_num_components(self):
     dataset = self.create_otago_dataset()
     self.assertEqual(pca.recommend_num_components(dataset), 1)