_jgrid_r0.py 文件源码

def gs_ElasticNet( xM, yV, en_params):

    print(xM.shape, yV.shape)

    clf = linear_model.ElasticNet()
    kf5 = cross_validation.KFold( xM.shape[0], n_folds=5, shuffle=True)
    gs = grid_search.GridSearchCV( clf, en_params, scoring = 'r2', cv = kf5, n_jobs = -1)

    gs.fit( xM, yV)

    return gs