Hi, Sort option for feature column will now use natural sorting (both ascending and descending) [1]. Still the initial load will not be sorted. It appears that DataTables plugin fails to apply natural sorting for initial load.
[1] https://wso2.org/jira/browse/ML-209 On Tue, Aug 11, 2015 at 12:45 PM, Nirmal Fernando <nir...@wso2.com> wrote: > Great! Please create a Jira. > > On Tue, Aug 11, 2015 at 12:43 PM, Thushan Ganegedara <thu...@gmail.com> > wrote: > >> Hi CD, >> >> No worries. >> >> On Tue, Aug 11, 2015 at 5:11 PM, CD Athuraliya <chathur...@wso2.com> >> wrote: >> >>> Hi Nirmal, >>> >>> We will be able to fix this issue. >>> >>> Thanks Thushan for pointing this out! :) >>> >>> >>> >>> On Tue, Aug 11, 2015 at 12:32 PM, Nirmal Fernando <nir...@wso2.com> >>> wrote: >>> >>>> @CD, is this something we could fix? can we list features in the order >>>> of the indices? >>>> >>>> On Tue, Aug 11, 2015 at 12:25 PM, Thushan Ganegedara <thu...@gmail.com> >>>> wrote: >>>> >>>>> Hi, >>>>> >>>>> I noticed that, in certain cases, the features don't follow the >>>>> correct ordering. Any idea why this is happening? >>>>> >>>>> For example in this image, V10 appears after V1 >>>>> >>>>> On Tue, Aug 11, 2015 at 12:10 PM, Thushan Ganegedara <thu...@gmail.com >>>>> > wrote: >>>>> >>>>>> Hi all, >>>>>> >>>>>> After a daunting struggle, I was able to corner the issue with the >>>>>> poor accuracy for the specific leaf dataset. The dataset has classes >>>>>> from 1 >>>>>> to 36. However, there are no classes from 16th - 22nd. i.e. Classes go as >>>>>> 1,2,..,14,15,23,24,...,35,36 >>>>>> >>>>>> Then, while converting these class labels to enums in H-2-O (combined >>>>>> with the fact that there's very little data for each class) confuses >>>>>> H-2-O >>>>>> and causes it to *assign different enum values for the same classes >>>>>> in different datasets*. Which manifest itself as a poor accuracy. >>>>>> >>>>>> I suspect that there's a mismatch between the labels provided by >>>>>> JavaRDD and enums produced by H-2-O as well. I'm looking into this issue >>>>>> right now. >>>>>> >>>>>> Thank you >>>>>> >>>>>> On Mon, Aug 10, 2015 at 11:16 AM, Thushan Ganegedara < >>>>>> thu...@gmail.com> wrote: >>>>>> >>>>>>> Hi all, >>>>>>> >>>>>>> I've been testing the new Deeplearning component with few different >>>>>>> datasets (mainly leaf dataset) and the leaf dataset seems to be not >>>>>>> working >>>>>>> as expected for an unknown reason. >>>>>>> >>>>>>> However, I tested the Deeplearning component extensively with the >>>>>>> leaf dataset and identified several potential problems that might be >>>>>>> causing the poor accuracy. >>>>>>> >>>>>>> 1. Need to have higher number of epochs (compared to other datasets) >>>>>>> to produce a reasonable accuracy. >>>>>>> >>>>>>> 2. Too many neurons causing overfitting thereby causing poor >>>>>>> accuracy. >>>>>>> >>>>>>> 3. Some classes have quite closely related features (Especially the >>>>>>> latter classes are misclassified often) >>>>>>> >>>>>>> I was able to get an accuracy of 86% with Logistic Regression >>>>>>> L-BFGS. Which is quite reasonable. But I'm having trouble reaching that >>>>>>> accuracy with Deeplearning (which should be quite easy). Highest >>>>>>> accuracy I >>>>>>> reached so far is 71.xx% >>>>>>> >>>>>>> So I'm still looking for any definite issues causing the poor >>>>>>> accuracy. >>>>>>> >>>>>>> Thank you. >>>>>>> >>>>>>> >>>>>>> -- >>>>>>> Regards, >>>>>>> >>>>>>> Thushan Ganegedara >>>>>>> School of IT >>>>>>> University of Sydney, Australia >>>>>>> >>>>>> >>>>>> >>>>>> >>>>>> -- >>>>>> Regards, >>>>>> >>>>>> Thushan Ganegedara >>>>>> School of IT >>>>>> University of Sydney, Australia >>>>>> >>>>> >>>>> >>>>> >>>>> -- >>>>> 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/ >>>> >>>> >>>> >>> >>> >>> -- >>> *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/> >>> >> >> >> >> -- >> 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/ > > > -- *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/>
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