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ASF GitHub Bot commented on IGNITE-7897: ---------------------------------------- GitHub user dmitrievanthony opened a pull request: https://github.com/apache/ignite/pull/3614 IGNITE-7897 Add example for LSQR with data normalization. You can merge this pull request into a Git repository by running: $ git pull https://github.com/gridgain/apache-ignite ignite-7897 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/ignite/pull/3614.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 #3614 ---- commit 77890d9b1880cc94954b23973c2aee0bcb8847a5 Author: Anton Dmitriev <dmitrievanthony@...> Date: 2018-03-07T11:17:47Z IGNITE-7897 Add example for LSQR with data normalization. ---- > Add example of using LSQR with data normalization > ------------------------------------------------- > > Key: IGNITE-7897 > URL: https://issues.apache.org/jira/browse/IGNITE-7897 > Project: Ignite > Issue Type: Improvement > Reporter: Anton Dmitriev > Assignee: Anton Dmitriev > Priority: Major > > Currently we have an LSQR linear regression example (see > [here|https://github.com/apache/ignite/blob/master/examples/src/main/java/org/apache/ignite/examples/ml/regression/linear/DistributedLinearRegressionWithLSQRTrainerExample.java]) > and a normalization procedure example (see > [here|https://github.com/apache/ignite/blob/master/examples/src/main/java/org/apache/ignite/examples/ml/preprocessing/NormalizationExample.java]). > For better understanding we'd like to add an example that includes data > normalization and LSQR linear regression in the same time. -- This message was sent by Atlassian JIRA (v7.6.3#76005)