Linear Regression Python Packages

aplr

APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering smoother and interpretable predictions.

piecewise-regression

piecewise-regression (aka segmented regression) in python. For fitting straight line models to data with one or more breakpoints where the gradient changes.

mlr

Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and other features

abess

Fast Best-Subset Selection Library

mcpower

Power analysis by simulation — any design from t-test to mixed models, in your browser, on your desktop, or in Python and R.

wildboottest

python module for wild cluster bootstrapping

ikpls

Fast CPU and GPU Python implementations of Improved Kernel Partial Least Squares (PLS) by Dayal and MacGregor (1997) and Fast Partition-Based Cross-Validation With Centering and Scaling for XTX and XTY by Engstrøm and Jensen (2025). This package also includes options to use sample weights for PLS modeling.

cvmatrix

Computation of training set (X^T * W * X) and (X^T * W * Y) or (X^T * X) and (X^T * Y) in a cross-validation setting using the fast algorithms by Engstrøm and Jensen (2025).

autofeat

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

constrainedlr

Drop-in replacement of sklearn's Linear Regression with coefficients constraints

fukuml

Simple machine learning library / 簡單易用的機器學習套件

linreg-core

Cross-target linear regression library in Rust with WebAssembly, Python, VBA, DLL, and Excel XLL support.

stattools

Statistical learning and inference algorithms implemented in Python 3

numbaml

Regression modelling implemented in Numba

lingress

The lingress project is to develop the pipeline to analyse the Nuclear magnetic resonance (NMR) dataset using a univariate linear regression model. This package contains the analysis with linear regression (OLS) and visualises the interpretation of the results with a p-value of all NMR peaks.

customintents

No description available

mlektic

A Python ML library to use and visualize gradient descent for linear and logistic regression optimization.

solar-power-prediction-using-tensorflow-dense-model

Developing AI models to predict solar power production, detect inverter failures, and optimize energy efficiency using supervised learning, ensuring sustainable energy management for solar plants.

hlr

HLR - Hierarchical Linear Regression for Python

solar-power-prediction-tensorflow-lstm-model

Developing AI models to predict solar power production, detect inverter failures, and optimize energy efficiency using supervised learning, ensuring sustainable energy management for solar plants.

ml-python

The easiest way to do machine learning

sparsereg

Modern sparse linear regression

boston-housing-prediction

A programm that predicts house prices with different models

gskpy

Gaining-sharing knowledge algorithm GSK continuous optimization framework