#模型保存pmml from sklearn2pmml import sklearn2pmml,PMMLPipeline pipeline = PMMLPipeline([('classifier',xgb_model)]) pipeline.fit(train_xgb.drop('target',axis=1),train_xgb['target']) sklearn2pmml(pipeline, '模型文件/{}.pmml'.format('xgb模型20220119'),with_repr = True,debug = True) # 讀取pmml模型文件 from pypmml import Model model = Model.fromFile('模型文件/xgb模型20220119.pmml')