Hi
If it is an rdd based can't u use data frame.rdd (though I don't know if u
will have an rdd of vectorsu might need to convert each row to a vector
yourself..
Hth
On 20 Nov 2016 4:29 pm, "janardhan shetty" wrote:
> Hi Marco and Yanbo,
>
> It is not the usage of MulticlassClassification
Hi Marco and Yanbo,
It is not the usage of MulticlassClassificationEvaluator. Probably I was
not clear. Let me explain:
I am trying to use confusionMatrix which is not present in
MulticlassClassificationEvaluator ml version where as it is present in
MulticlassMetrics of mllib.
How to leverage RD
Hi
you can also have a look at this example,
https://github.com/sryza/aas/blob/master/ch04-rdf/src/main/scala/com/cloudera/datascience/rdf/RunRDF.scala#L220
kr
marco
On Sun, Nov 20, 2016 at 9:09 AM, Yanbo Liang wrote:
> You can refer this example(http://spark.apache.org/docs/latest/ml-tunin
You can refer this example(
http://spark.apache.org/docs/latest/ml-tuning.html#example-model-selection-via-cross-validation)
which use BinaryClassificationEvaluator, and it should be very
straightforward to switch to MulticlassClassificationEvaluator.
Thanks
Yanbo
On Sat, Nov 19, 2016 at 9:03 AM,
Hi,
I am trying to use the evaluation metrics offered by mllib
multiclassmetrics in ml dataframe setting.
Is there any examples how to use it?
