Edit analysis.rs so that it queries from the database to compute key metrics
Edit ml.rs to feed inputs from key metrics, produce predictions as outputs
Set up WebApp (Import logic, set up web frontend to display results)
If I have time... I want to work on ML model improvements, and implement Long Short-Term Memory concepts on top of my current Recurrent Neural Network
I think the big task for Sprint 4 will be messing with the model so I get good results. The model I use right now uses supervised learning, which is good for predictions. However, if I want to continue towards anomaly detection, I would like to implement an unsupervised model, so I can utilize its clustering capabilities.
I think the above list of To-Do's for Sprint 3 will set me up to focus well on my Sprint 4 tasks.
Updated Sprint 3 Kanban: https://github.com/users/JoeyTaubert/projects/2/views/1
Top three things to get done by end of Sprint 3:
If I have time... I want to work on ML model improvements, and implement Long Short-Term Memory concepts on top of my current Recurrent Neural Network
I think the big task for Sprint 4 will be messing with the model so I get good results. The model I use right now uses supervised learning, which is good for predictions. However, if I want to continue towards anomaly detection, I would like to implement an unsupervised model, so I can utilize its clustering capabilities.
I think the above list of To-Do's for Sprint 3 will set me up to focus well on my Sprint 4 tasks.
Thank you, Joey