1
Install TPOT
Use pip to install TPOT with the command: pip install tpot
2
Prepare Your Dataset
Load and preprocess your dataset into features (X) and target (y) variables compatible with scikit-learn.
3
Initialize TPOT Classifier or Regressor
Create a TPOTClassifier or TPOTRegressor object with desired parameters like generations and population size.
4
Fit TPOT on Your Data
Call the fit() method on your TPOT object passing your training data to start the optimization.
5
Export the Best Pipeline
Use the export() method to save the optimized pipeline as a Python script for reuse or deployment.