I used the following snippet
for(int i=0;i<labeledPoints.collect().size();i++){
System.out.print(labeledPoints.collect().get(i).label() + "\t");
}
in the public MLModel build() throws MLModelBuilderException in
DeeplearningModelBuilder.java
On Tue, Aug 11, 2015 at 6:17 PM, Nirmal Fernando <[email protected]> wrote:
> Hi thushan,
>
> We need more info. What did you exactly print and where?
>
> On Tue, Aug 11, 2015 at 12:47 PM, Thushan Ganegedara <[email protected]>
> wrote:
>
>> Hi,
>>
>> I found the potential cause of the poor accuracy for the leaf dataset. It
>> seems the data read into ML is wrong.
>>
>> I have attached the data file as a CSV (classes are in the last column)
>>
>> However, when I print out the labels of the read data (classes), it looks
>> something like below. Clearly there aren't this many "3.0" classes and
>> there should be classes up to 36.0.
>>
>> Is this caused by a bug?
>>
>> 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
>> 1.0 1.0 1.0 12.0 12.0 12.0 12.0 12.0 12.0
>> 12.0 12.0 12.0 12.0 13.0 13.0 13.0 13.0 13.0 13.0
>> 13.0 13.0 13.0 13.0 14.0 14.0 14.0 14.0 14.0
>> 14.0 14.0 14.0 15.0 15.0 15.0 15.0 15.0 15.0
>> 15.0 15.0 15.0 15.0 15.0 15.0 16.0 16.0 16.0 16.0
>> 16.0 16.0 16.0 16.0 17.0 17.0 17.0 17.0 17.0
>> 17.0 17.0 17.0 17.0 17.0 18.0 18.0 18.0 18.0
>> 18.0 18.0 18.0 18.0 18.0 18.0 18.0 19.0 19.0 19.0
>> 19.0 19.0 19.0 19.0 19.0 19.0 19.0 19.0 19.0
>> 19.0 19.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0
>> 2.0 2.0 2.0 2.0 2.0 2.0 3.0 3.0 3.0 3.0
>> 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0
>> 3.0 3.0 3.0 4.0 4.0 4.0 4.0 4.0 4.0
>> 4.0 4.0 4.0 4.0 4.0 4.0 5.0 5.0 5.0 5.0
>> 5.0 5.0 5.0 5.0 5.0 5.0 5.0 5.0 5.0
>> 6.0 6.0 6.0 6.0 6.0 6.0 6.0 6.0 6.0
>> 6.0 6.0 6.0 7.0 7.0 7.0 7.0 7.0 7.0 7.0
>> 7.0 7.0 7.0 3.0 3.0 3.0 3.0 3.0 3.0
>> 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0
>> 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0
>> 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0
>> 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0
>> 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0
>> 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0
>> 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0
>> 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0
>> 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0
>> 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0
>> 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0
>> 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0
>> 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0
>> 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0
>> 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0
>> 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0
>> 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0
>> 3.0 3.0 3.0 3.0
>>
>> --
>> Regards,
>>
>> Thushan Ganegedara
>> School of IT
>> University of Sydney, Australia
>>
>
>
>
> --
>
> Thanks & regards,
> Nirmal
>
> Team Lead - WSO2 Machine Learner
> Associate Technical Lead - Data Technologies Team, WSO2 Inc.
> Mobile: +94715779733
> Blog: http://nirmalfdo.blogspot.com/
>
>
>
--
Regards,
Thushan Ganegedara
School of IT
University of Sydney, Australia
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