Grid search for optimal parameters

Gridsearchcv

Detailed Address: Http://scikit-learn.org/stable/modules/generated/sklearn.grid_search. Gridsearchcv.html#examples-using-sklearn-grid-search-gridsearchcv

Specific examples:

#-*-coding:utf-8-*-"""Created on Mon June 15:30:30 2015@author:chaofn"""ImportNumPy as NP fromSklearnImportDatasets fromSklearn.svmImportSVR fromSklearn.grid_searchImportGRIDSEARCHCV#Laod Sample Datairis=Datasets.load_boston ()#Fit regression modelSVR=GRIDSEARCHCV (SVR (kernel='RBF', gamma=0.1), cv=5, Param_grid={"C": [1e0,1e1,1e2,1e3],                             "Gamma": Np.logspace ( -2,2,5)}) Svr.fit (Iris.data,iris.target)#Predictpredict_targets=svr.predict (iris.data)#evalutionn_test_samples=len (iris.target) Error=np.linalg.norm (predict_targets-iris.target,ord=1)/N_test_samplesPrint("Mean Absolute Error is:%.3f"%(Error)) PCC=np.corrcoef (predict_targets,iris.target) [0,1]Print("Pearson Correlation coefficient:%.4f"% (PCC))

Grid search for optimal parameters