[ https://issues.apache.org/jira/browse/MXNET-560?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Lin Yuan updated MXNET-560: --------------------------- Resolution: Done Status: Done (was: To Do) PR is merged: https://github.com/apache/incubator-mxnet/pull/11466 Ready for testing. > Adding a temperature parameter in Softmax and SoftmaxOutput operator > -------------------------------------------------------------------- > > Key: MXNET-560 > URL: https://issues.apache.org/jira/browse/MXNET-560 > Project: Apache MXNet > Issue Type: New Feature > Reporter: Lin Yuan > Assignee: Lin Yuan > Priority: Major > Time Spent: 12h 40m > Remaining Estimate: 0h > > MXNet does not appear to have a native temperature parameter in its softmax > functions. I would like this to be added, as it has many useful applications > when learning a categorical probability distribution, especially in a > reinforcement learning setting. Should default to 1 to reproduce current > behavior. > [https://en.wikipedia.org/wiki/Softmax_function#Reinforcement_learning] -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@mxnet.apache.org For additional commands, e-mail: issues-h...@mxnet.apache.org