I still get the same result
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
On Tue, Aug 11, 2015 at 7:05 PM, Nirmal Fernando <nir...@wso2.com> wrote:
> Can you use following code and try;
>
> List<LabeledPoint> points = labeledPoints.collect();
> for(int i=0;i<points.size();i++){
> System.out.print(points.get(i).label() + "\t");
> }
>
> On Tue, Aug 11, 2015 at 2:30 PM, Thushan Ganegedara <thu...@gmail.com>
> wrote:
>
>> 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 <nir...@wso2.com> 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 <thu...@gmail.com>
>>> 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
>>
>
>
>
> --
>
> 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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