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https://issues.apache.org/jira/browse/IGNITE-8233?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Anton Dmitriev updated IGNITE-8233:
-----------------------------------
Description:
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.
was:KNN and SVM algorithms implemented with assumption that partition data
won't be null. Currently it's wrong assumption, so we need to update dataset to
support this assumption or update these algorithms.
> 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: 2.4
> Reporter: Anton Dmitriev
> Assignee: Anton Dmitriev
> Priority: Blocker
> 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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