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https://issues.apache.org/jira/browse/SPARK-13724?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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senthil gandhi updated SPARK-13724:
-----------------------------------
Description:
DecisionTree.trainClassifier() reports that maxMemoryInMB is too small during
training and stops. But when I try to set it, I found that in MLlib of spark
1.6.0 pyspark.mllib.tree.DecisionTree doesn't have this parameter in the named
parameter list anymore.
(Also not sure if this is the place for this issue, kindly educate!)
was:
DecisionTree.trainClassifier() reports that maxMemoryInMB is too small durign
training and stops. But when I try to set it, I found that in MLlib of spark
1.6.0 pyspark.mllib.tree.DecisionTree doesn't have this parameter in the named
parameter list anymore.
(Also not sure if this is the place for this issue, kindly educate!)
> Parameter maxMemoryInMB has gone missing in MlLib 1.6.0
> DecisionTree.trainClassifier()
> --------------------------------------------------------------------------------------
>
> Key: SPARK-13724
> URL: https://issues.apache.org/jira/browse/SPARK-13724
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 1.6.0
> Reporter: senthil gandhi
>
> DecisionTree.trainClassifier() reports that maxMemoryInMB is too small during
> training and stops. But when I try to set it, I found that in MLlib of spark
> 1.6.0 pyspark.mllib.tree.DecisionTree doesn't have this parameter in the
> named parameter list anymore.
> (Also not sure if this is the place for this issue, kindly educate!)
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