TPOT is an open-source Python library for automated machine learning (AutoML). It helps data scientists and developers automatically create and optimize machine learning pipelines, including feature preprocessing, model selection, and hyperparameter tuning, using genetic programming.

Features of TPOT:

Automatic generation and optimization of machine learning pipelines for classification and regression tasks.
Uses genetic programming to explore thousands of possible pipeline combinations efficiently.
Supports integration with popular Python ML libraries such as scikit-learn, XGBoost, and LightGBM.
Automatic feature preprocessing, selection, and transformation within pipelines.
Helps accelerate model development and reduce manual tuning effort for predictive analytics projects.

To check the version of TPOT:


$ sudo su
$ sudo apt update
$ cd /opt/tpot_env
$ source venv/bin/activate
$ python -c "import tpot; print('TPOT version:', tpot.__version__)"

Disclaimer: TPOT is an independent open-source Python library provided under the MIT license. It is offered "as is," without any warranty, express or implied. Users are responsible for understanding its usage, compatibility, and integration with their Python projects.

TPOT(AutoML)bCloud LLC

TPOT(AutoML)

bCloud LLC

TPOT(AutoML)

bCloud LLC

TPOT(AutoML)
bCloud LLC