Coding week #7

mehaksachdeva
Published: 07/16/2019

What did I do this week?

This week I debugged the issues being faced around the miscalculation of the three performance parameters (AIC, AICc and BIC) for the Poisson model. The parameters are as expected now and follow the expected trend. I also added other parameter checks to the Monte Carlo experiment (such as betas, performance parameters etc.). A complete notebook enlisting links to all the notebooks  within the Poisson MGWR model was made to make it easier to follow the completeness of the project. I am maintaining the Pull request for the simulated data example for Poisson MGWR and added the updated code to the PR (https://github.com/pysal/mgwr/pull/60 ).

What is coming up next?

In the coming week I will work on testing the Binomial MGWR model with simulated data and finalize the approach for the Binomial model. I will also begin to understand the prediction part of the code to begin the third part of the project.

Did I get stuck anywhere?

The debugging of the parameters required going back to literature for the local scoring algorithm weights and add that to the existing code. It was challenging yet fun to understand the optimizations applied to the current code and I learnt a great deal from it.

Looking forward to the progress update next week!

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