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ilastik-feature-selection example notebooks

Where to start?

Create an environment with all needed dependencies

You can use conda/mamba with the environment.yml file in this folder in order to run the example: We recommend mamba as it creates environments faster.

# from within the `example` folder:

# 1. create the environment
mamba env create -n feature-selection --file environment.yml

# 2. activate the envrionment
mamba activate feature-selection

# 3. start the jupyter notebook server
# which should open your default browser
jupyter notebook --notebook-dir=.

Check out the notebook

The main use-case is documented in the feature-selection-example.ipynb notebook. There you'll learn how to use the feature selection methods provided by this package to reduce the feature set for a sklearn Random Forest.

The feature-selection-example-using-vigra.ipynb notebook shows how to use these methods with a vigra Random Forest, for those who want to know :).