This MLHub package uses 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.
This model comes from the Essentials of Data Science by Graham Williams https://bit.ly/essentials_data_science. Further support material is also available from https://essentials.togaware.com/.
Visit the github repository for more details: https://github.com/gjwgit/rain
To install and run the pre-built model:
$ pip install mlhub
$ ml install rain
$ ml configure rain
$ ml demo rain
$ ml print rain
$ ml display rain
$ ml score rain