Day 6

I began today by finishing the documentation I had been doing of the code for my experiment. After that, I began working on new code that would test the performance of data preprocessing methods that were already written. I am using the Pavia University scene, which is a set of labeled hyperspectral data. I began to write code to run the experiment, which will include testing various preprocessing methods each with thirty trials. In the process, I used the code from my first tutorial as a reference, and I found an error in that code that had been making it run too slowly. It had been using too much data to train. I fixed this issue, making that code run more quickly, and continued with the code for my experiment. Eventually, in my experiment code, I ran into a problem: I was shaping the data into different dimensions to split it into training and testing groups, but it had to be in its original dimensions to be used by the preprocessing methods. I am still working on this issue, and I hope to solve it tomorrow.

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