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  • sklearn 회귀관련 모델 정리
    Base Line/python 기초 코드 2022. 8. 16. 21:07

    sklearn 회귀관련 모델 정리


    GradientBoostingRegressor
    ElasticNet
    SGDRegressor
    SVR
    BatesianRidge
    CatBoostRegressor
    KernelRidge
    LinearRegression
    XGBRegressor
    LGBMRegressor
    RandeomForestRegressor


    DNN??

     

     

     

    #sklearn 회귀 모델 불러오기
    from sklearn.ensemble import GradientBoostingRegressor, RandomForestRegressor
    from sklearn.linear_model import ElasticNet, SGDRegressor, BayesianRidge, LinearRegression
    from sklearn.linear_model import LassoCV , ElasticNetCV , RidgeCV
    from sklearn.svm import SVR
    
    #from catboost import CatBoostRegressor
    from sklearn.kernel_ridge import KernelRidge
    from xgboost.sklearn import XGBRegressor
    from lightgbm import LGBMRegressor
    
    from sklearn.model_selection import cross_val_score
    from sklearn.metrics import mean_squared_error as mse
    from sklearn.metrics import r2_score as r2
    #다중 아웃풋
    from sklearn.multioutput import MultiOutputRegressor

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