Supervised learning for neural time series

[jasperhajonides]

Brief project description

Hello all, I'm a DPhil student in Experimental Psychology working with electrophysiological and neuroimaging data. For my research, I often use supervised and unsupervised learning techniques on time series data. To facilitate this process I wrote a function that incorporates a few different classifiers and sliding window method that incorporates temporal information into the classifier. Available here: https://github.com/jasperhajonides/Supervised_Learning_TB

Objective: I would like to publish this code along with my manuscript so I'd like it to be as efficient as possible!

The code

Language: Type:

• [X] Script or collection of scripts
• [ ] Library
• [ ] Standalone software
• [ ] I have no idea

The code that I would like to have reviewed is a function in Python and counts 182 lines (incl. descriptions).

Code review format

I'd rather

• [ ] Meet in person
• [X] Meet remotely
• [ ] Other format:
• [ ] No preference

[abhidg]

Hi @jasperhajonides would be happy to take a look at this -- does Wednesday afternoon work?

[jasperhajonides]

That would be great Abhishek, I'm free that afternoon. 2 pm UK time?

[abhidg]

Works for me! I will be on Teams.