Skip to content

Conversation

@Asphahyre
Copy link
Contributor

Added notes concerning the interesting predictive models in MODELS.md.

Also reorganized all the notes (MODELS.md and PROJECT.md) into a notes/ subdirectory.

The Bayesian method is a way to learn probabilities from patterns, and to gradually improve the quality of the statistics as we have more data.

This can be an interesting approach as we have better data to predict affluence over time ([I mentioned here including the previous hour's affluence improved the prediction](PROJECT.md)); however as people won't need to throw their waste because a lot of people also needed to at the beginning of the day, I think we can find a better model that doesn't only matter on the previous affluence.

Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

You should ask Du but I think with bayesian models you can add contextual features like meteo etc.

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Indeed, I corrected it, I miss some parts of the Bayesian method.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

2 participants