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sklearn 회귀관련 모델 정리Base 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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