Model Selection Python Packages

yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection.

dynesty

Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

sklearndf

DataFrame support for scikit-learn.

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

evalml

EvalML is an AutoML library written in python.

ultranest

Fit and compare complex models reliably and rapidly. Advanced nested sampling.

gamma-facet

Human-explainable AI.

shap-hypetune

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

sklearn-genetic-opt

ML hyperparameters tuning and features selection, using evolutionary algorithms.

hyperactive

A unified interface for optimization algorithms and experiments

greybox

Toolbox for model building and forecasting

tscv

Time Series Cross-Validation -- an extension for scikit-learn

bxa

Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)

cascade-ml

Lightweight and modular MLOps library targeted at small teams or individuals

model-confidence-set

model-confidence-set provides a Python implementation of the Model Confidence Set (MCS) procedure (Hansen, Lunde, and Nason, 2011), a statistical method for comparing and selecting models based on their performance.

modelcreator

Machine Learning package for quick fast model generation and comparison

petab-select

PEtab Select: an extension to PEtab for model selection.

tpot2

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

kulprit

Kullback-Leibler projections for Bayesian model selection in Python

bayesloop

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

easymlselector

A model selection process for Machine Learning tasks on subset of training sample

lazygrid

Automatic, efficient and flexible implementation of complex machine learning pipeline generation and cross-validation.

bayes-compass

COMPASS: A Python package for bayesian model comparison in a simulation based setting

estyp

ESTYP: Extended Statistical Toolkit Library for Python