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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:34:30 UTC
[jira] [Resolved] (SPARK-8423) More informative
DecisionTreeModel.toDebugString
[ https://issues.apache.org/jira/browse/SPARK-8423?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-8423.
---------------------------------
Resolution: Incomplete
> More informative DecisionTreeModel.toDebugString
> ------------------------------------------------
>
> Key: SPARK-8423
> URL: https://issues.apache.org/jira/browse/SPARK-8423
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Reporter: Justin Yip
> Priority: Major
> Labels: bulk-closed
>
> The current DecisionTreeModel.toDebugString returns a string like this:
> {code}
> DecisionTreeRegressionModel of depth 5 with 59 nodes
> If (feature 1 <= -0.06568792377298172)
> If (feature 0 <= -0.02949210603796315)
> If (feature 2 <= -0.08341711651992334)
> ...
> {code}
> Displaying them as "feature <index>" is not super useful for debugging. It would be good if we can pass an optional {{Array[ String ]}} to the method {{toDebugString}}. i.e.
> {code}
> val model = tree.fit(training)
> println(model.toDebugString(Array("width", "height", "weight")))
> {code}
> And we will get:
> {code}
> DecisionTreeRegressionModel of depth 5 with 59 nodes
> If (height <= -0.06568792377298172)
> If (width <= -0.02949210603796315)
> If (weight <= -0.08341711651992334)
> ...
> {code}
> If the debug string is not supplied, index is used instead.
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