Github user Neuw84 commented on the issue:
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Hi,
Another important use case for the MLP regressor is for forecasting machine
sensor data. One of our clients uses this approach for predictive maintenance
on Industry 4.0. assets. We were ho
Github user yolile commented on the issue:
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@JeremyNixon @avulanov @MLnick @mengxr @jkbradley any update? Is this PR
going to be merged?
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Github user Nickersoft commented on the issue:
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@JeremyNixon @avulanov Any update on this? I noticed neither this PR or the
one on the deeplearning package was ever merged, and it is the only resource I
can find regarding neural net-based regr
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Github user avulanov commented on the issue:
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@JeremyNixon Sounds good!
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Github user JeremyNixon commented on the issue:
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@avulanov I am interested - how about I replicate this PR at
github.com/avulanov/scalable-deeplearning and we discuss details there?
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Github user avulanov commented on the issue:
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@JeremyNixon I have released version 1.0.0 of [scalable-deeplearning
package](https://spark-packages.org/package/avulanov/scalable-deeplearning).
This package is based on the implementation of arti
Github user avulanov commented on the issue:
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@JeremyNixon Thanks for the comprehensive list of references!
The internal API of Spark ANN is designed to be flexible and can handle
different types of layers. However, only a part of the
Github user JeremyNixon commented on the issue:
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+1 for multiple outputs. Deep NN Regression with multiple outputs has
gotten state of the art performance on object localization tasks.
Let's have a conversation about the public API fo
Github user JeremyNixon commented on the issue:
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@avulanov Great to hear from you! I'd love to give you a short tour of
MLPR's use cases.
@jkbradley Wonderful to hear that you agree this should get in, and I'm
happy to provide a few applic
Github user avulanov commented on the issue:
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@JeremyNixon Thank you for your PR! Actually, regression was in the
original Multilayer perceptron PR:
https://github.com/apache/spark/pull/7621/commits/a2261330c227be8ef26172dbe355a617d653553a.
H
Github user jkbradley commented on the issue:
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@JeremyNixon Thanks for your thoughts. I agree this should get in, but
want to make sure the priorities are clear.
With respect to examples of improvements, I really meant either (a)
re
Github user sethah commented on the issue:
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@JeremyNixon Does it make sense to pull the new activation functions out of
this PR and into a standalone? I know this PR depends upon some of them, but
since it's a WIP and the other change is small
Github user MLnick commented on the issue:
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As per @avulanov's [comment on
SPARK-15581](https://issues.apache.org/jira/browse/SPARK-15581?focusedCommentId=15325377&page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#comment-15
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Github user JeremyNixon commented on the issue:
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@jkbradley, of course youâre welcome for the PR! Iâd be happy to
discuss a few use cases.
Among MLlib algorithms, MLPR has the unique ability to generalize to unseen
features that h
Github user jkbradley commented on the issue:
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Thanks for the PR (with a great description)! FYI review on a big new
feature may need to wait until 2.0 QA is done.
Also, @mengxr @avulanov have discussed regression before, and IIRC it
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jenkins add to whitelist
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Github user JeremyNixon commented on the issue:
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@avulanov @MLnick @mengxr @jkbradley
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Can one of the admins verify this patch?
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