Exercise 6: Hyper Parameter Optimization

This workflow optimizes the parameters of a machine learning model that predicts the irregular component of time series (energy consumption). The irregular component of time series is what is left after removing the trend and first and second seasonality. The optimized parameters are the number of trees and tree depth in a Random Forest model.

This is a companion discussion topic for the original entry at https://kni.me/w/5MN8GY7vpuE0azNu