To what extend Garfana can perfrom simple AI and ML on incoming weather time series data stream and PICK UP outliner that is 'enough deviation' from normal.
Normal is incrementally build from daily data stream.
For weather, says, NOW light intensity vs. 3-week-trend at same time-of-day. If sky darkens, it may rain.
Weather is slow, one update per minutes. Do AL and ML need a lot of CPU speed and RAM? Will RPi 4, 1 or 2 GB RAM enough?
Is RPi ZERO 2 W is too little RAM for Lite OS, Garfana, SQLite (or similar), web server (is that part of Garfana?) and Python code to drive these?
Many thanks
Normal is incrementally build from daily data stream.
For weather, says, NOW light intensity vs. 3-week-trend at same time-of-day. If sky darkens, it may rain.
Weather is slow, one update per minutes. Do AL and ML need a lot of CPU speed and RAM? Will RPi 4, 1 or 2 GB RAM enough?
Is RPi ZERO 2 W is too little RAM for Lite OS, Garfana, SQLite (or similar), web server (is that part of Garfana?) and Python code to drive these?
Many thanks
Statistics: Posted by David16962 — Fri Jul 19, 2024 1:45 pm — Replies 0 — Views 24