zhengruifeng created SPARK-18739:
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Summary: Models in pyspark.classification support setXXXCol methods
Key: SPARK-18739
URL: https://issues.apache.org/jira/browse/SPARK-18739
Project: Spark
Issue Type: Improvement
Components: ML, PySpark
Reporter: zhengruifeng
Now, models in pyspark don't suport {{setXXCol}} methods at all.
I update models in {{classification.py}} according the hierarchy in the scala
side:
1, add {{setFeaturesCol}} and {{setPredictionCol}} in class
{{JavaPredictionModel}}
2, add {{setRawPredictionCol}} in class {{JavaClassificationModel}}
3, create class {{JavaProbabilisticClassificationModel}} inherit
{{JavaClassificationModel}}, and add {{setProbabilityCol}} in it
4, {{LogisticRegressionModel}}, {{DecisionTreeClassificationModel}},
{{RandomForestClassificationModel}} and {{NaiveBayesModel}} inherit
{{JavaProbabilisticClassificationModel}}
5, {{GBTClassificationModel}} and {{MultilayerPerceptronClassificationModel}}
inherit {{JavaClassificationModel}}
6, {{OneVsRestModel}} inherit {{JavaModel}}, and add {{setFeaturesCol}} and
{{setPredictionCol}} method.
With regard to model clustering and features, I suggest that we first add some
abstract classes like {{ClusteringModel}}, {{ProbabilisticClusteringModel}},
{{FeatureModel}} in the scala side, otherwise we need to manually add setXXXCol
methods one by one.
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