# User Details

- User Since
- Feb 24 2018, 8:40 AM (173 w, 23 h)
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- Kdhingra2210 [ Global Accounts ]

# Nov 5 2018

# Sep 6 2018

@srishakatux yes, testing is ongoing and I think it should be finished in next week or so.

@srishakatux the model is complete but it is in testing over the complete data, so those patches and the project should be completed once the testing is over. It should take more than a week to finish those tests and I am currently working on those patches.

# Jun 1 2018

@TJones and @EBernhardson

# May 25 2018

@EBernhardson you were right, I made a mistake while defining an object in cython code

# May 24 2018

@EBernhardson I did implement 3d sparse matrices in scipy too

# May 16 2018

@EBernhardson and @TJones during the past couple of weeks I have majorly worked in building different types of sparse matrices and understanding the research paper because there are certain minute details which can affect it largely.

# Apr 23 2018

Thanks, @EBernhardson, @TJones, @srishakatux and other fellow community members for accepting my proposal.

Thank you very much!

# Apr 20 2018

Yepp, it has support just like normal sparse matrices but converting it to dense batches is very costly compared to `scipy.sparse` ones. (at least while computing using CPU)

Sure, i'll pull some data for 30 and 60 day aggregations and we can compare the datasets.

yep, I will look into these once uploaded

# Apr 5 2018

I have tried plenty of approaches to maintain 3d sparse matrices, but none have worked out well atleast till now

# Mar 27 2018

# Mar 26 2018

Currently model support variable length of the input (in terms of days), Also we can save the trained model to work as a backup in case, we ever have to restart the whole model.

# Mar 25 2018

@EBernhardson for 3d sparse matrices, I looked for multiple posts and found that tensorflow has sparse input and it supports N dimensions, so we can pipeline the input to tensorflow sparse directly.

# Mar 24 2018

@EBernhardson I ported this model to barebone tensorflow, though it doesn't support gridsearch or improve timedistributed dense functions, it does support dynamic indexing over the time dimension.

# Mar 22 2018

I thought it to be in the opposite, that's why I asked about confusion matrix of yours,

# Mar 20 2018

@EBernhardson Can you share what results you got with that algorithm because I was getting fairly good confusion matrix.

# Feb 24 2018

Hi @EBernhardson, I looked up this project from GSoC2018 and am interested in this, I have gone through the research paper and would like to work on this. I have already worked on time series models.