Logistic Regression Python Packages

abess

Fast Best-Subset Selection Library

clogistic

Logistic regression with bound and linear constraints. L1, L2 and Elastic-Net regularization.

fastcpd

Fast Change Point Detection

rlr

Regularized Logistic Regression

classicml

简单易用的经典机器学习框架

jeffy-classify

Pretrained text classifiers you can run and retrain on CPU

orts

Odds-Ratio Thompson Sampling: bandits and A/B tests whose baseline keeps moving. Paper: arXiv 2609.19709

fukuml

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

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.

fisher-scoring

A Python implementation of the Fisher Scoring algorithm

skorecard

scikit-learn compatible tools for building credit risk acceptance models

spkit

Signal Processing Toolkit, including ML models with visualization

classicml-python

简单易用的经典机器学习框架

nueramic-mathml

ML optimization on torch

ml-python

Easy to use high level python library for popular machine learning algorithms. Has in-built support for graphing and optimizers based in C++.

mlektic

A simple machine learning python library.

persian-sentiment-analyzer

This repository contains code and tools for sentiment analysis of Persian customer reviews and feedback. Using Natural Language Processing (NLP) techniques, this project helps you transform Persian customer reviews into interpretable data and gain valuable insights to enhance the shopping experience.

stattools

Statistical learning and inference algorithms implemented in Python 3

pyfacy

Face Recognition with Machine Learning and Face Clustering

turtles-glms

Python package for Generalized Linear Models

text-classification-baseline

Pipeline for fast building text classification TF-IDF + LogReg baselines.

tno-fl-protocols-logistic-regression

TNO PET Lab - Federated Learning (FL) - Protocols - Logistic Regression

polynomial-regression-model

Python package that analyses the given datasets and comes up with the best regression representation with either the smallest polynomial degree possible, to be the most reliable without overfitting or other models such as exponentials and logarithms

forestplotx

Publication-ready forest plots for regression models (logistic, linear, gamma, ordinal) in Python.