用预测的pmml模型预测训练集，不准，感觉模型没有训练

用预测的模型预测训练集，不准，感觉模型没有训练

import pandas
from sklearn.datasets import load_iris

iris_df = load_iris()
iris_X = iris_df.data
iris_y = iris_df.target


from sklearn.tree import DecisionTreeClassifier
from sklearn2pmml.pipeline import PMMLPipeline
pipeline = PMMLPipeline([
    ("classifier", DecisionTreeClassifier())
])
pipeline.fit(iris_X, iris_y)

from sklearn2pmml import sklearn2pmml
sklearn2pmml(pipeline, "DecisionTreeIris1.pmml", with_repr = True)


from pypmml import Model
model = Model.load("DecisionTreeIris1.pmml")
model.predict([5.1,3.5,1.4,0.2])

参考一下

xgboost转为pmml格式后与刚训练好的模型预测结果不一致 建模填坑系列 ，希望对你有所帮助
https://blog.csdn.net/weixin_44239904/article/details/103153084