@Thushan how are you progressing? Could you please send the notes of our last review?
On Thu, Jul 16, 2015 at 10:43 AM, CD Athuraliya <[email protected]> wrote: > > > On Mon, Jul 13, 2015 at 11:12 AM, Thushan Ganegedara <[email protected]> > wrote: > >> Hello CD, >> >> Yes, it seems to be working fine now. But why does it show the axes in >> meters? Is this a d3 specific thing? >> > > I think *m* stands for *Milli* here. > >> >> On Mon, Jul 13, 2015 at 3:17 PM, Thushan Ganegedara <[email protected]> >> wrote: >> >>> Hi all, >>> >>> Thank you very much for pointing out. I'll get the latest update and see. >>> >>> On Mon, Jul 13, 2015 at 3:03 PM, CD Athuraliya <[email protected]> >>> wrote: >>> >>>> 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" <[email protected]> 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 <[email protected]> >>>>> 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/ >>>>> >>>>> >>>>> >>> >>> >>> -- >>> Regards, >>> >>> Thushan Ganegedara >>> School of IT >>> University of Sydney, Australia >>> >> >> >> >> -- >> Regards, >> >> Thushan Ganegedara >> School of IT >> University of Sydney, Australia >> > > > > -- > *CD Athuraliya* > Software Engineer > WSO2, Inc. > lean . enterprise . middleware > Mobile: +94 716288847 <94716288847> > LinkedIn <http://lk.linkedin.com/in/cdathuraliya> | Twitter > <https://twitter.com/cdathuraliya> | Blog > <http://cdathuraliya.tumblr.com/> > -- Thanks & regards, Nirmal Associate Technical Lead - Data Technologies Team, WSO2 Inc. Mobile: +94715779733 Blog: http://nirmalfdo.blogspot.com/
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