Same questions here.
GBTClassifier and MultilayerPerceptronClassifier extend Predictor[_,_]
rather than Classifier[_,_]. However, both are classifiers. It looks like
the class inheritance hierarchy is not strictly followed.
I wonder if the community considers it an issue, and has a plan for the fix?
Thanks!
Guo-Xun
On Thu, Oct 20, 2016 at 11:54 PM, Nick Pentreath <nick.pentre...@gmail.com>
wrote:
> Currently no - GBT implements the predictors, not the classifier
> interface. It might be possible to wrap it in a wrapper that extends the
> Classifier trait.
>
> Hopefully GBT will support multi-class at some point. But you can use
> RandomForest which does support multi-class.
>
> On Fri, 21 Oct 2016 at 02:12 ansari <hiday...@gmail.com> wrote:
>
>> It appears as if the inheritance hierarchy doesn't allow GBTClassifiers
>> to be
>> used as the binary classifier in a OneVsRest trainer. Is there a simple
>> way
>> to use gradient-boosted trees for multiclass (not binary) problems?
>>
>> Specifically, it complains that GBTClassifier doesn't inherit from
>> Classifier[_, _, _].
>>
>> I'm using Spark 2.0.1:
>>
>> val gbt = new GBTClassifier()
>> .setLabelCol("indexedLabel")
>> .setFeaturesCol("features")
>> .setMaxIter(10)
>> .setMaxDepth(10)
>>
>> val ovr = new OneVsRest().
>> setClassifier(gbt)
>>
>> fails saying
>>
>> error: type mismatch;
>> found : org.apache.spark.ml.classification.GBTClassifier
>> required: org.apache.spark.ml.classification.Classifier[_, _, _]
>> setClassifier(gbt)
>>
>>
>>
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>> OneVsRest-tp27933.html
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>>
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