Technical requirements

You will be working with the sktime library, described as "a unified framework for machine learning with time series". Behind the scenes, sktime is a wrapper to other popular ML and time series libraries, including scikit-learn. It is recommended to create a new virtual environment for Python so that you can install all the required dependencies without any conflicts or issues with your current environment.

If you need a quick refresher on creating a virtual Python environment, check out the Development environment setup recipe, from Chapter 1, Getting Started with Time Series Analysis. The chapter covers two methods: using conda and venv.

The following instructions will show how to create a virtual environment using conda. You can call the environment any name you like. For the following example, we will name the environment sktime:

>> conda create -n sktime python=3.9 -y
>> conda activate sktime
>> conda install -c conda...