Github user rkarimi commented on the issue:
https://github.com/apache/spark/pull/17972
perhaps related:
Big Random Forest Models (example: 100 or more trees with depth of around
20):
Big models can be trained effectively even on machines with limited RAM
(such
Github user AmplabJenkins commented on the issue:
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Can one of the admins verify this patch?
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Github user AmplabJenkins commented on the issue:
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Github user AmplabJenkins commented on the issue:
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Github user phatak-dev commented on the issue:
https://github.com/apache/spark/pull/17972
@WeichenXu123 resolved merge conflicts. Can you initiate jenkins build?
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Github user phatak-dev commented on the issue:
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Can you please initiate the Jenkins build?
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Github user phatak-dev commented on the issue:
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I have added to all the algorithms I know that uses intermediate state.
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Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/17972
Have you checked other algorithms which can also apply this parameter ?
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Github user phatak-dev commented on the issue:
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@WeichenXu123 Done the changes to mima.
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Github user phatak-dev commented on the issue:
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@MLnick Any updates on this?
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Github user phatak-dev commented on the issue:
https://github.com/apache/spark/pull/17972
There are around 33 binary incompatibility issues as I made this a shared
param. Some of them from build logs are below
```scala
[error] * abstract synthetic method
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/17972
Test FAILed.
Refer to this link for build results (access rights to CI server needed):
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Test FAILed.
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Github user AmplabJenkins commented on the issue:
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Merged build finished. Test FAILed.
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Github user SparkQA commented on the issue:
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**[Test build #77498 has
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for PR 17972 at commit
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Github user MLnick commented on the issue:
https://github.com/apache/spark/pull/17972
jenkins test this please
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Github user phatak-dev commented on the issue:
https://github.com/apache/spark/pull/17972
@MLnick i am working on fixes you recommended. Meantime jenkins build
doesn't seems to be started.
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Github user MLnick commented on the issue:
https://github.com/apache/spark/pull/17972
Ok to test
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Github user phatak-dev commented on the issue:
https://github.com/apache/spark/pull/17972
@MLnick can you start a jenkins build?
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Github user phatak-dev commented on the issue:
https://github.com/apache/spark/pull/17972
I have updated the code to have the parameter in sharedParamsCodeGen.
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Github user MLnick commented on the issue:
https://github.com/apache/spark/pull/17972
Yes let's make it shared if possible.
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Github user phatak-dev commented on the issue:
https://github.com/apache/spark/pull/17972
@MLnick should i go ahead and move it to SharedParamsCodeGen?
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Github user MLnick commented on the issue:
https://github.com/apache/spark/pull/17972
If other algos are going to use this param, we should put in in shared
params - i.e. update `SharedParamsCodeGen` and have the relevant estimators
inherit from the trait.
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Github user AmplabJenkins commented on the issue:
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Github user phatak-dev commented on the issue:
https://github.com/apache/spark/pull/17972
Current unit test case is rudimentary. Any help in improving it is
appreciated.
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