[jira] [Created] (SPARK-23471) RandomForestClassificationModel save() - incorrect metadata

["Keepun (JIRA)" <ji...@apache.org>]

Keepun created SPARK-23471:
------------------------------

             Summary: RandomForestClassificationModel save() - incorrect metadata
                 Key: SPARK-23471
                 URL: https://issues.apache.org/jira/browse/SPARK-23471
             Project: Spark
          Issue Type: Bug
          Components: ML
    Affects Versions: 2.2.1
            Reporter: Keepun


RandomForestClassificationMode.load() does not work after save():

 
{code:java}
RandomForestClassifier rf = new RandomForestClassifier()
        .setFeaturesCol("features")
        .setLabelCol("result")
        .setNumTrees(100)
        .setMaxDepth(30)
        .setMinInstancesPerNode(1)
        //.setCacheNodeIds(true)
        .setMaxMemoryInMB(500)
        .setSeed(System.currentTimeMillis() + System.nanoTime());
RandomForestClassificationModel rfmodel = rf.train(data);
   try {
      rfmodel.save(args[2] + "." + System.currentTimeMillis());
   } catch (IOException e) {
      LOG.error(e.getMessage(), e);
      e.printStackTrace();
   }
{code}
File metadata\part-00000:

 

 
{code:java}
{"class":"org.apache.spark.ml.classification.RandomForestClassificationModel",
"timestamp":1519136783983,"sparkVersion":"2.2.1","uid":"rfc_7c7e84ce7488",
"paramMap":{"featureSubsetStrategy":"auto","cacheNodeIds":false,"impurity":"gini",
"checkpointInterval":10,

"numTrees":20,"maxDepth":5,

"probabilityCol":"probability","labelCol":"label","featuresCol":"features",
"maxMemoryInMB":256,"minInstancesPerNode":1,"subsamplingRate":1.0,
"rawPredictionCol":"rawPrediction","predictionCol":"prediction","maxBins":32,
"minInfoGain":0.0,"seed":-491520797},"numFeatures":1354,"numClasses":2,

"numTrees":20}
{code}
should be:
{code:java}
"numTrees":100,"maxDepth":30,{code}
 



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