[
https://issues.apache.org/jira/browse/SPARK-8423?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon updated SPARK-8423:
--------------------------------
Labels: bulk-closed (was: )
> 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.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
