INNER CODE UNIT · Python

eps

ankonzoid/LearningX · advanced_ML/model_tree/run_tests.py:94

    eps = 1E-6 # tolerance for test acceptance
    X, y, header = load_csv_data(data_csv_filename, mode="regr")

    # Test 1
    print(" [1/3] Checking depth-0 model tree...")
    from models.linear_regr import linear_regr
    model = linear_regr()
    MTR_0 = ModelTree(model, max_depth=0, min_samples_leaf=20,
                      search_type="greedy", n_search_grid=100)
    loss_model = experiment(model, X, y)
    loss_MTR_0 = experiment(MTR_0, X, y)
    print("  -> loss(linregr)={:.6f}, loss(MTR_0_linregr)={:.6f}...".format(loss_model, loss_MTR_0))
    if np.abs(loss_model - loss_MTR_0) > eps:
        exit("err: passed test 1!")
    else:
        print("  -> passed test 1!")

    # Test 2

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