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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).

These models come 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

Usage

  • 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

Demonstration

$ ml demo rain_dt
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