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https://issues.apache.org/jira/browse/IGNITE-8233?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16435574#comment-16435574
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ASF GitHub Bot commented on IGNITE-8233:
GitHub user dmitrievanthony opened a pull request:
https://github.com/apache/ignite/pull/3807
IGNITE-8233 KNN and SVM algorithms don't work when partition doesn't
contain data.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/gridgain/apache-ignite ignite-8233
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/ignite/pull/3807.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #3807
commit 14a7357afc0f33b07f5d4f56d6081222ec5bb437
Author: Anton Dmitriev
Date: 2018-04-12T13:35:59Z
IGNITE-8233 Add protection of dataset compute method from empty data.
commit c63105c2cd4d4d8829ff300eaa7d11ed6620ebdb
Author: Anton Dmitriev
Date: 2018-04-12T13:44:55Z
IGNITE-8233 Fix tests after adding protection of dataset compute method
from empty data.
> KNN and SVM algorithms don't work when partition doesn't contain data
> -
>
> Key: IGNITE-8233
> URL: https://issues.apache.org/jira/browse/IGNITE-8233
> Project: Ignite
> Issue Type: Bug
> Components: ml
>Affects Versions: 2.5
>Reporter: Anton Dmitriev
>Assignee: Anton Dmitriev
>Priority: Major
> Fix For: 2.5
>
>
> KNN and SVM algorithms implemented with assumption that partition data won't
> be null:
> {code:java}
> public LabeledDataset(double[][] mtx, double[] lbs, String[] featureNames,
> boolean isDistributed) {
> super();
> assert mtx != null;
> assert lbs != null;
> {code}
> Currently it's wrong assumption, so we need to update dataset to support this
> assumption or update these algorithms.
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