用于scikit学习的遗传特征选择模块
sklearn-genetic的Python项目详细描述
sklearn genetic
用于SCIKIT学习的遗传特征选择模块
遗传算法模拟自然选择的过程来寻找函数的最优值。
安装
pip install sklearn-genetic
要求
- python=2.7
- SCIKIT学习>；=0.18
- DEAP=1.0.2
示例
from__future__importprint_functionimportnumpyasnpfromsklearnimportdatasets,linear_modelfromgenetic_selectionimportGeneticSelectionCVdefmain():iris=datasets.load_iris()# Some noisy data not correlatedE=np.random.uniform(0,0.1,size=(len(iris.data),20))X=np.hstack((iris.data,E))y=iris.targetestimator=linear_model.LogisticRegression(solver="liblinear",multi_class="ovr")selector=GeneticSelectionCV(estimator,cv=5,verbose=1,scoring="accuracy",max_features=5,n_population=50,crossover_proba=0.5,mutation_proba=0.2,n_generations=40,crossover_independent_proba=0.5,mutation_independent_proba=0.05,tournament_size=3,n_gen_no_change=10,caching=True,n_jobs=-1)selector=selector.fit(X,y)print(selector.support_)if__name__=="__main__":main()
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