d97e9cd0c30980647f31c1003d6367e6a41c7124,tests/models/MLR_test.py,,test_MLR,#,51

Before Change

    model_name = "MLR"
    sample_size = 64
    feature_dim_dict = {"sparse": {"sparse_1": 2, "sparse_2": 5,
                                   "sparse_3": 10}, "dense": ["dense_1", "dense_2", "dense_3"]}
    sparse_input = [np.random.randint(0, dim, sample_size)
                    for dim in feature_dim_dict["sparse"].values()]
    dense_input = [np.random.random(sample_size)

After Change

    model_name = "MLR"
    sample_size = 64
    feature_dim_dict = {"sparse": [SingleFeat("sparse_1",2),SingleFeat("sparse_2",5),SingleFeat("sparse_3",10)] ,
                                    "dense": [SingleFeat("dense_1",0),SingleFeat("dense_2",0),SingleFeat("dense_3",0)]}
    sparse_input = [np.random.randint(0, dim, sample_size)
                    for feat,dim in feature_dim_dict["sparse"]]
    dense_input = [np.random.random(sample_size)

Instances