diff --git a/README.md b/README.md index f4dabe5ffe9b6c456b4de29239ea7db825e79e47..ba3cc9af521cbff6bf62ebd57c0793a127cc54db 100644 --- a/README.md +++ b/README.md @@ -1 +1,24 @@ # ML Project - Operator Decision + +## 1st Meeting +TODO: + +- Read data +- Read report from student +- Reproduce the MLP model on our own +- Check the statistical model (methods used for the first classification) -> see paper +- Check other paper for methods for false alarm detection (See project proposal) + +Additional notes: +- we use features calculated from data rather than fill data with 0 when we have different resolutions (better performance) + - option for later: add own features +- database: only alarms -> classified as good/bad +- data unit: the full profile -> reject/accept the whole profile as bad/good +- use Pytorch +- Meeting One day/week -> 16h friday 12.04 +- problem with database : not large + - careful by splitting -> require class balance (reduces number of data used) + - depending on splitting -> different performance + - solutions: replicate database, class balance (but for now just implement it like this) +- historical data -> from boyes; what about the other datasets ? +- in-situ -> field study