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Posted to user@spark.apache.org by Praneeth Shishtla <pr...@gmail.com> on 2021/05/21 10:57:04 UTC

Memory issues in 3.0.2 but works well on 2.4.4

Hi,
I have a simple DecisionForest model and was able to train the model on
pyspark==2.4.4 without any issues.
However, when I upgraded to pyspark==3.0.2, the fit takes a lot of time and
eventually errors out saying out of memory. Even tried reducing the number
of samples for training but no luck.
Can anyone help with this?

Best,
Praneeth




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Re: [External Sender] Memory issues in 3.0.2 but works well on 2.4.4

Posted by Femi Anthony <ol...@capitalone.com.INVALID>.
Post the stack trace and provide some more details about your configuration

On Fri, May 21, 2021 at 7:52 AM Praneeth Shishtla <pr...@gmail.com>
wrote:

> Hi,
> I have a simple DecisionForest model and was able to train the model on
> pyspark==2.4.4 without any issues.
> However, when I upgraded to pyspark==3.0.2, the fit takes a lot of time and
> eventually errors out saying out of memory. Even tried reducing the number
> of samples for training but no luck.
> Can anyone help with this?
>
> Best,
> Praneeth
>
>
>
>
> --
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>
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> To unsubscribe e-mail: user-unsubscribe@spark.apache.org
>
> --
Card Machine Learning (ML) Team, Capital One

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