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Oleg Ignatenko commented on IGNITE-5059: ---------------------------------------- Hi [~vladisav], this ticket appears dormant for over 5 months now and I would like to assign it to myself and try implementing this feature. If you would prefer to keep it for yourself, please let me know. The reason why I picked it among other ML tickets that are currently opened is I checked current feature set in Ignite ML Grid and this one looks like quite a desired feature because it would nicely complement linear regression that was integrated per IGNITE-5012. I plan to start working on this in a day or two from now, after I complete IGNITE-5535. > Implement logistic regression > ------------------------------ > > Key: IGNITE-5059 > URL: https://issues.apache.org/jira/browse/IGNITE-5059 > Project: Ignite > Issue Type: New Feature > Components: ml > Reporter: Vladisav Jelisavcic > Assignee: Vladisav Jelisavcic > Labels: important > > Implement logistic regression using ignite ml.math. Model should be able to > incorporate L1 and L2 regularization. > Model should also work with stochastic gradient descent (SGD) as well as > batch and mini-batch gradient descent optimization algorithms. -- This message was sent by Atlassian JIRA (v6.4.14#64029)