Regression Models Python Packages

statsmodels

Statsmodels: statistical modeling and econometrics in Python

bambi

BAyesian Model-Building Interface (Bambi) in Python.

orbit-ml

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

stargazer

Python implementation of the R stargazer multiple regression model creation tool

greybox

Regression model building and forecasting in R and Python

pyprocessmacro

A Python library for moderation, mediation and conditional process analysis.

myfm

A Python/C++ implementation of Bayesian Factorization Machines

dominance-analysis

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

trust-free

An interpretable regression model in Python with Random-Forest-level accuracy

statstests

Statstests: a Python package that provides a complement of process and statistical tests for statsmodels statistical models.

galpynostatic

:zap::battery: A Python/C++ package with physics-based and data-driven models to predict optimal conditions for fast-charging lithium-ion batteries

bess

Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis

treeig

Exact Integrated Gradients for tree ensembles, including XGBoost, LightGBM, Random Forests, and Gradient Boosting. Computes fast, exact feature attributions for tree models without numerical gradients, numerical integration, Monte Carlo sampling, or path approximations.

unifiedig

Provides a unified approach to Integrated Gradients: a common API for many models, include tree-based models; and common baseline semantics with prediction-neutral baseline distributions as the default.

peak-engines

Deterministic algorithms for objective Bayesian inference and hyperparameter optimization

hlr

HLR - Hierarchical Linear Regression in Python

sparsereg

a collection of modern sparse (regularized) linear regression algorithms.

gtotr

Generalized Tensor-on-Tensor Regression (GToTR)

appelpy

Applied Econometrics Library for Python

intelelm

IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine

genetest

Python package for efficient genetic association analyses

lazypredict-nightly

Lazy Predict Nightly enables rapid benchmarking of machine learning models with just a few lines of code. It helps identify the best-performing algorithms on your dataset without requiring hyperparameter tuning.

midlearn

A scikit-learn compatible Python wrapper of the midr R package

metaperceptron

MetaPerceptron: A Standardized Framework For Metaheuristic-Driven Multi-layer Perceptron Optimization