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

2018-02-23 Thread Keepun (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-23471?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16374830#comment-16374830
 ] 

Keepun commented on SPARK-23471:


Saved to AWS s3://

> 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
>Priority: Major
>
> 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-0: 
> {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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[jira] [Updated] (SPARK-23471) RandomForestClassificationModel save() - incorrect metadata

2018-02-23 Thread Keepun (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-23471?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Keepun updated SPARK-23471:
---
Description: 
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-0: 
{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}
 

  was:
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-0:

 

 
{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}
 


> 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
>Priority: Major
>
> 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-0: 
> {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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[jira] [Created] (SPARK-23471) RandomForestClassificationModel save() - incorrect metadata

2018-02-20 Thread Keepun (JIRA)
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-0:

 

 
{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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