Predicting Rain Tomorrow
These MLHub packages use the weatherAUS dataset from R's Rattle package to train a predictive model for the probability of it raining tomorrow based on today's weather observations. The training dataset consists of daily weather observations from weather stations across Australia capturing the amount of sunshine, the humidity, the amount of rain, etc. Models available include decision tree (rain_dt) and random forest (rain_rf).
Visit the github repository for more details: https://github.com/gjwgit/rain
To install mlhub (Ubuntu 18.04 LTS)
$ pip3 install mlhub
To install and configure the rain_dt (or rain_rf) pre-built model:
$ ml install rain_dt $ ml configure rain_dt
$ ml demo rain_dt