[jira] [Commented] (SPARK-10409) Multilayer perceptron regression

2018-06-04 Thread Angel Conde (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-10409?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16500278#comment-16500278 ] Angel Conde commented on SPARK-10409: -- Another important use case for the MLP regressor is for

[jira] [Commented] (SPARK-10409) Multilayer perceptron regression

2016-06-11 Thread Apache Spark (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-10409?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15325755#comment-15325755 ] Apache Spark commented on SPARK-10409: -- User 'JeremyNixon' has created a pull request for this

[jira] [Commented] (SPARK-10409) Multilayer perceptron regression

2015-09-22 Thread Xiangrui Meng (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-10409?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14903480#comment-14903480 ] Xiangrui Meng commented on SPARK-10409: --- [~lmoos] This is a major feature. Could you work on

[jira] [Commented] (SPARK-10409) Multilayer perceptron regression

2015-09-22 Thread Lauren Moos (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-10409?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14903553#comment-14903553 ] Lauren Moos commented on SPARK-10409: - no problem! > Multilayer perceptron regression >

[jira] [Commented] (SPARK-10409) Multilayer perceptron regression

2015-09-22 Thread Lauren Moos (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-10409?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14903451#comment-14903451 ] Lauren Moos commented on SPARK-10409: - I'd be happy to work on this > Multilayer perceptron

[jira] [Commented] (SPARK-10409) Multilayer perceptron regression

2015-09-01 Thread Alexander Ulanov (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-10409?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14726435#comment-14726435 ] Alexander Ulanov commented on SPARK-10409: -- Basic implementation with the current ML api can be