【问题标题】:sklearn.preprocessing._data.MinMaxScaler is not a supported Transformer When the model is converted to PMML using sklearn2pmmlsklearn.preprocessing._data.MinMaxScaler 不是受支持的 Transformer 当使用 sklearn2pmml 将模型转换为 PMML 时
【发布时间】:2020-04-30 00:39:41
【问题描述】:
from sklearn.preprocessing import StandardScaler,MinMaxScaler
from sklearn2pmml.pipeline import PMMLPipeline
from sklearn.impute import SimpleImputer
from sklearn_pandas import DataFrameMapper

mapper = DataFrameMapper([
        (model_col,[SimpleImputer(strategy = "most_frequent"),MinMaxScaler()])
    ])

clf = GradientBoostingClassifier(n_estimators=200,learning_rate=0.1,max_depth=5,random_state=10)
gbdt_pipeline = PMMLPipeline([('mapper', mapper), ("classifier", clf)])

sklearn2pmml(gbdt_pipeline,"gbdt.pmml",with_repr=True)

转换为 PMML 以报告错误。错误如下

Standard output is empty
Standard error:
 28, 2020 4:04:05  org.jpmml.sklearn.Main run
Ϣ: Parsing PKL..
 28, 2020 4:04:05  org.jpmml.sklearn.Main run
Ϣ: Parsed PKL in 80 ms.
 28, 2020 4:04:05  org.jpmml.sklearn.Main run
Ϣ: Converting..
 28, 2020 4:04:05  org.jpmml.sklearn.Main run
: Failed to convert
java.lang.IllegalArgumentException: The value object (Python class sklearn.preprocessing._data.MinMaxScaler) is not a supported Transformer
    at org.jpmml.sklearn.CastFunction.apply(CastFunction.java:43)
    at com.google.common.collect.Lists$TransformingRandomAccessList$1.transform(Lists.java:612)
    at com.google.common.collect.TransformedIterator.next(TransformedIterator.java:47)
    at sklearn_pandas.DataFrameMapper.initializeFeatures(DataFrameMapper.java:72)
    at sklearn.Initializer.encodeFeatures(Initializer.java:41)
    at sklearn.Transformer.updateAndEncodeFeatures(Transformer.java:85)
    at sklearn.pipeline.Pipeline.encodeFeatures(Pipeline.java:83)
    at sklearn2pmml.pipeline.PMMLPipeline.encodePMML(PMMLPipeline.java:203)
    at org.jpmml.sklearn.Main.run(Main.java:145)
    at org.jpmml.sklearn.Main.main(Main.java:94)
Caused by: java.lang.ClassCastException: Cannot cast net.razorvine.pickle.objects.ClassDict to sklearn.Transformer
    at java.lang.Class.cast(Unknown Source)
    at org.jpmml.sklearn.CastFunction.apply(CastFunction.java:41)
    ... 9 more

我用的scikit-learn是0.22.2,我用0.21版本的时候没有报错 感谢您的帮助!

【问题讨论】:

    标签: python scikit-learn pmml


    【解决方案1】:

    Scikit-Learn 重命名了 0.21.X 和 0.22.X 开发分支之间的几个模块。例如,sklearn.preprocessing.data 模块变成了sklearn.preprocessing._data(前导下划线应该解释为现在这是一个私有模块)。

    您使用的是过时的 SkLearn2PMML 软件包版本,尚不了解 0.22.X 模块。请将 SkLearn2PMML 包更新到最新版本 (pip install --upgrade sklearn2pmml),问题将得到解决。

    【讨论】:

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