Technical requirements
In this chapter, we will use the open source tsfresh
Python library. You can install tsfresh with pip
by executing pip
install tsfresh
.
Note
If you have an old Microsoft operating system, you may need to update Microsoft C++ Build Tools to proceed with tsfresh’s installation. Follow the steps in this thread to do so: https://stackoverflow.com/questions/64261546/how-to-solve-error-microsoft-visual-c-14-0-or-greater-is-required-when-inst.
Throughout the recipes in this chapter, we will work with the Occupancy Detection dataset, available in the UCI Machine Learning Repository: http://archive.ics.uci.edu/ml/datasets/Occupancy+Detection+#.
Note
The dataset was described in Accurate occupancy detection of an office room from light, temperature, humidity, and CO2 measurements using statistical learning models. Luis M. Candanedo, Veronique Feldheim. Energy and Buildings. Volume 112, 15 January 2016. Pages 28-39.
To download the Occupancy Detection...