示例#1
0
文件: test_pgo.py 项目: kant/lale
    def test_pipeline_parameters(self):
        pgo = PGO.load_pgo_file(example_pgo_fp)

        trainable = PCA() >> LogisticRegression()
        parameters = get_grid_search_parameter_grids(trainable,
                                                     num_samples=2,
                                                     pgo=pgo)
示例#2
0
文件: test_pgo.py 项目: kant/lale
    def test_lr_parameters(self):
        pgo = PGO.load_pgo_file(example_pgo_fp)

        lr = LogisticRegression()
        parameters = get_grid_search_parameter_grids(lr,
                                                     num_samples=2,
                                                     pgo=pgo)