TPOT is built on top of several existing Python libraries, including:

Most of the necessary Python packages can be installed via the Anaconda Python distribution, which we strongly recommend that you use. We also strongly recommend that you use of Python 3 over Python 2 if you're given the choice.

NumPy, SciPy, and scikit-learn can be installed in Anaconda via the command:

conda install numpy scipy scikit-learn

DEAP, update_checker, and tqdm can be installed with pip via the command:

pip install deap update_checker tqdm

For the Windows users, the pywin32 module is required if Python is NOT installed via the Anaconda Python distribution and can be installed with pip:

pip install pywin32

Optionally, you can install XGBoost if you would like TPOT to use the eXtreme Gradient Boosting models. XGBoost is entirely optional, and TPOT will still function normally without XGBoost if you do not have it installed.

conda install py-xgboost

If you have issues installing XGBoost, check the XGBoost installation documentation.

If you plan to use the TPOT-MDR configuration, make sure to install scikit-mdr and scikit-rebate:

pip install scikit-mdr skrebate

Finally to install TPOT itself, run the following command:

pip install tpot

Please file a new issue if you run into installation problems.