Python RandomParameterSearch.process_paramsの例

コード例 #1

ファイル: test_utils.py プロジェクト: mgraffg/EvoDAG

def test_process_params():
    from EvoDAG.utils import RandomParameterSearch
    from EvoDAG import EvoDAG
    rs = RandomParameterSearch(npoints=1)
    args = [x for x in rs][0]
    evo = EvoDAG(**rs.process_params(args))
    params = evo.get_params()
    for k, v in args.items():
        if k in params:
            print(v, params[k])
            if hasattr(params[k], '__name__'):
                assert v == params[k].__name__
            else:
                assert v == params[k]

コード例 #2

def test_HGeneration_pr_variable():
    import json
    from EvoDAG.utils import RandomParameterSearch
    from EvoDAG import EvoDAG
    get_remote_data()
    params = json.loads(open('evodag.params').read())
    params['population_class'] = 'HGenerational'
    params['pr_variable'] = 1.0
    kw = RandomParameterSearch.process_params(params)
    y = cl.copy()
    try:
        EvoDAG(**kw).fit(X, y)
    except AssertionError:
        return
    assert False

コード例 #3

ファイル: test_population.py プロジェクト: Python3pkg/EvoDAG

def test_HGeneration():
    import json
    import gzip
    import pickle
    from EvoDAG.utils import RandomParameterSearch
    from EvoDAG import EvoDAG

    get_remote_data()
    params = json.loads(open('evodag.params').read())
    try:
        with gzip.open('train.sp') as fpt:
            X = pickle.load(fpt)
            y = pickle.load(fpt)
    except ValueError:
        return
    params['population_class'] = 'HGenerational'
    kw = RandomParameterSearch.process_params(params)
    gp = EvoDAG(**kw).fit(X, y)
    assert gp

コード例 #4

ファイル: test_utils.py プロジェクト: Python3pkg/EvoDAG

def test_process_params():
    from EvoDAG.utils import RandomParameterSearch
    from EvoDAG import EvoDAG
    rs = RandomParameterSearch(npoints=1)
    args = [x for x in rs][0]
    evo = EvoDAG(**rs.process_params(args))
    params = evo.get_params()
    for k, v in args.items():
        if k in params:
            if k == 'generations':
                v = np.inf
            print(k, v, params[k])
            if isinstance(v, list):
                for a, b in zip(v, params[k]):
                    assert a == b.__name__
            elif hasattr(params[k], '__name__'):
                assert v == params[k].__name__
            else:
                assert v == params[k]