t]].
> * Must be >= 1.
> * (default = 10)
> * @group expertSetParam
> */
> def setCheckpointInterval(value: Int): this.type =
> set(checkpointInterval, value)
> i'm not actually sure how this will affect training performance with the
> new ml.RandomForest impl, but i'm cur
I/O, etc?
>
> you may need more Workers.
>
> On Tue, Dec 22, 2015 at 8:57 AM, Alexander Ratnikov
> <ratnikov.alexan...@gmail.com> wrote:
>>
>> Hi All,
>>
>> It would be good to get some tips on tuning Apache Spark for Random
>&
Hi All,
It would be good to get some tips on tuning Apache Spark for Random
Forest classification.
Currently, we have a model that looks like:
featureSubsetStrategy all
impurity gini
maxBins 32
maxDepth 11
numberOfClasses 2
numberOfTrees 100
We are running Spark 1.5.1 as a standalone cluster.
