Hi Thushan,
That method has been updated. Please get the latest. You might have to
define your own case depending on predicted values.
CD Athuraliya
Sent from my mobile device
On Jul 13, 2015 10:24 AM, "Nirmal Fernando" <nir...@wso2.com> wrote:
> Great work Thushan! On the UI issues, @CD could help you. AFAIK actual
> keeps the pointer to the actual label and predicted is the probability and
> predictedLabel is after rounding it using a threshold.
>
> On Mon, Jul 13, 2015 at 7:14 AM, Thushan Ganegedara <thu...@gmail.com>
> wrote:
>
>> Hi all,
>>
>> I have integrated H-2-O deeplearning to WSO2-ml successfully. Following
>> are the stats on 2 tests conducted (screenshots attached).
>>
>> Iris dataset - 93.62% Accuracy
>> MNIST (Small) dataset - 94.94% Accuracy
>>
>> However, there were few unusual issues that I had to spend lot of time to
>> identify.
>>
>> *FrameSplitter does not work for any value other than 0.5. Any value
>> other than 0.5, the following error is returned*
>> (Frame splitter is used to split trainingData to train and valid sets)
>> barrier onExCompletion for
>> hex.deeplearning.DeepLearning$DeepLearningDriver@25e994ae
>> java.lang.RuntimeException: java.lang.RuntimeException:
>> java.lang.NullPointerException
>> at
>> hex.deeplearning.DeepLearning$DeepLearningDriver.trainModel(DeepLearning.java:382)
>>
>> *DeepLearningModel.score(double[] vec) method doesn't work. *
>> The predictions obtained with score(Frame f) and score(double[] v) is
>> shown below.
>>
>> *Actual, score(Frame f), score(double[] v)*
>> 0.0, 0.0, 1.0
>> 1.0, 1.0, 2.0
>> 2.0, 2.0, 2.0
>> 2.0, 1.0, 2.0
>> 1.0, 1.0, 2.0
>>
>> As you can see, score(double[] v) is quite poor.
>>
>> After fixing above issues, everything seems to be working fine at the
>> moment.
>>
>> However, the I've a concern regarding the following method in
>> view-model.jag -> function
>> drawPredictedVsActualChart(testResultDataPointsSample)
>>
>> var actual = testResultDataPointsSample[i].predictedVsActual.actual;
>> var predicted =
>> testResultDataPointsSample[i].predictedVsActual.predicted;
>> var labeledPredicted = labelPredicted(predicted, 0.5);
>>
>> if(actual == labeledPredicted) {
>> predictedVsActualPoint[2] = 'Correct';
>> }
>> else {
>> predictedVsActualPoint[2] = 'Incorrect';
>> }
>>
>> why does it compare the *actual and labeledPredicted* where it should be
>> comparing *actual and predicted*?
>>
>> Also, the *Actual vs Predicted graph for MNIST show the axis in "Meters"
>> *(mnist.png) which doesn't make sense. I'm still looking into this.
>>
>> Thank you
>>
>>
>>
>> --
>> Regards,
>>
>> Thushan Ganegedara
>> School of IT
>> University of Sydney, Australia
>>
>
>
>
> --
>
> Thanks & regards,
> Nirmal
>
> Associate Technical Lead - Data Technologies Team, WSO2 Inc.
> Mobile: +94715779733
> Blog: http://nirmalfdo.blogspot.com/
>
>
>
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