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# Author: Simon Blanke |
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# Email: [email protected] |
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# License: MIT License |
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import pytest |
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import numpy as np |
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from sklearn.datasets import load_iris |
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from sklearn.model_selection import cross_val_score |
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from sklearn.tree import DecisionTreeClassifier |
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from hyperactive import Hyperactive |
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data = load_iris() |
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X, y = data.data, data.target |
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def model(para, X, y): |
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dtc = DecisionTreeClassifier( |
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max_depth=para["max_depth"], |
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min_samples_split=para["min_samples_split"], |
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min_samples_leaf=para["min_samples_leaf"], |
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) |
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scores = cross_val_score(dtc, X, y, cv=2) |
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return scores.mean() |
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search_space = { |
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"max_depth": range(1, 21), |
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"min_samples_split": range(2, 21), |
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"min_samples_leaf": range(1, 21), |
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} |
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def _base_test(search, opt_args={}, time=None): |
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hyper = Hyperactive(X, y, **opt_args) |
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hyper.add_search(**search) |
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hyper.run(time) |
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def test_model_key(): |
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search = { |
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"model_": model, |
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"search_space": search_space, |
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} |
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with pytest.raises(TypeError): |
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_base_test(search) |
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def test_model_value(): |
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search = { |
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"model": 1, |
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"search_space": search_space, |
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} |
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with pytest.raises(ValueError): |
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_base_test(search) |
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def test_search_space_key(): |
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search = { |
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"model": model, |
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"search_space_": search_space, |
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} |
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with pytest.raises(TypeError): |
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_base_test(search) |
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def test_search_space_value(): |
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search = { |
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"model": model, |
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"search_space": 1, |
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} |
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with pytest.raises(ValueError): |
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_base_test(search) |
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def test_memory_key(): |
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search = { |
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"model": model, |
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"search_space": search_space, |
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"memory_": "short", |
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} |
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with pytest.raises(TypeError): |
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_base_test(search) |
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def test_memory_value(): |
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search = { |
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"model": model, |
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"search_space": search_space, |
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"memory": 1, |
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} |
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with pytest.raises(ValueError): |
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_base_test(search) |
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def test_optimizer_key(): |
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search = { |
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"model": model, |
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"search_space": search_space, |
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"optimizer_": 1, |
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} |
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with pytest.raises(TypeError): |
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_base_test(search) |
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def test_optimizer_value(): |
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search = { |
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"model": model, |
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"search_space": search_space, |
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"optimizer": 1, |
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} |
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with pytest.raises(ValueError): |
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_base_test(search) |
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def test_n_iter_key(): |
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search = { |
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"model": model, |
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"search_space": search_space, |
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"n_iter_": 10, |
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} |
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with pytest.raises(TypeError): |
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_base_test(search) |
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def test_n_iter_value(): |
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search = { |
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"model": model, |
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"search_space": search_space, |
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"n_iter": 0.1, |
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} |
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with pytest.raises(ValueError): |
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_base_test(search) |
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def test_n_jobs_key(): |
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search = { |
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"model": model, |
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"search_space": search_space, |
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"n_jobs_": 1, |
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} |
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with pytest.raises(TypeError): |
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_base_test(search) |
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def test_n_jobs_value(): |
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search = { |
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"model": model, |
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"search_space": search_space, |
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"n_jobs": 0.1, |
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} |
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with pytest.raises(ValueError): |
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_base_test(search) |
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def test_init_para_key(): |
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search = { |
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"model": model, |
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"search_space": search_space, |
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"init_para_": {}, |
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} |
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with pytest.raises(TypeError): |
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_base_test(search) |
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def test_init_para_value(): |
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search = { |
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"model": model, |
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"search_space": search_space, |
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"init_para": 1, |
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} |
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with pytest.raises(ValueError): |
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_base_test(search) |
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SimonBlanke /
Hyperactive
