[
https://issues.apache.org/jira/browse/IGNITE-9239?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Alexey Zinoviev updated IGNITE-9239:
------------------------------------
Fix Version/s: 2.7
> [ML] KMeansTrainer crashed if amount of possible clusters more than amount of
> partitions in dataset
> ---------------------------------------------------------------------------------------------------
>
> Key: IGNITE-9239
> URL: https://issues.apache.org/jira/browse/IGNITE-9239
> Project: Ignite
> Issue Type: Bug
> Components: ml
> Reporter: Alexey Zinoviev
> Assignee: Alexey Zinoviev
> Priority: Major
> Fix For: 2.7
>
>
> How to reproduce?
> Set the K parameter in KMeans Trainer to 100, and run KMeansClusterization
> Example
> \
> StackTrace is
> Exception in thread "KMeansClusterizationExample-#44"
> java.lang.RuntimeException: java.lang.IllegalArgumentException: bound must be
> positive
> at
> org.apache.ignite.ml.clustering.kmeans.KMeansTrainer.fit(KMeansTrainer.java:112)
> at
> org.apache.ignite.ml.clustering.kmeans.KMeansTrainer.fit(KMeansTrainer.java:46)
> at org.apache.ignite.ml.trainers.DatasetTrainer.fit(DatasetTrainer.java:68)
> at
> org.apache.ignite.examples.ml.clustering.KMeansClusterizationExample.lambda$main$0(KMeansClusterizationExample.java:60)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.lang.IllegalArgumentException: bound must be positive
> at java.util.Random.nextInt(Random.java:388)
> at
> org.apache.ignite.ml.clustering.kmeans.KMeansTrainer.initClusterCentersRandomly(KMeansTrainer.java:193)
> at
> org.apache.ignite.ml.clustering.kmeans.KMeansTrainer.fit(KMeansTrainer.java:86)
> ... 4 more
>
>
> The possible solution :
> correct the mechanism of rndPnts computation in the row 180-190 in
> KMeansTrainer
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
