Installation

Prerequisites

• Python ≥ 3.12
• pip or conda

pip

Install the core package:

pip install sklearn-genetic-opt

Install all optional extras (plotting, MLflow, TensorBoard):

pip install sklearn-genetic-opt[all]

Install individual extras:

pip install sklearn-genetic-opt[plot]      # seaborn for plot_fitness_evolution / plot_search_space
pip install sklearn-genetic-opt[mlflow]    # MLflow 3 logging

conda

conda install -c conda-forge sklearn-genetic-opt

The conda package ships only the core dependencies. Install optional extras alongside it:

conda install -c conda-forge sklearn-genetic-opt seaborn mlflow

Requirements

Package	Minimum version	Required
Python	3.12	Yes
scikit-learn	1.5.0	Yes
NumPy	1.26.0	Yes
pandas	1.3.0	Yes
DEAP	1.4.0	Yes
tqdm	4.60.0	Yes
Seaborn	0.13.2	No (plots)
MLflow	3.14.0	No (MLflow logging)
TensorFlow	2.21.0	No (TensorBoard logging, Python < 3.14)
TensorBoard	2.20.0	No (TensorBoard logging)

Verify the installation

import sklearn_genetic
print(sklearn_genetic.__version__)

Next Steps

• Basic Usage — start here if you're new to the library.
• When to Use — decide if GA search fits your problem.