Logistic Regression Python Packages

abess

Fast Best-Subset Selection Library

21K 494 43

clogistic

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

11K 33 6

rlr

Regularized Logistic Regression

11K 11 9

classicml

简单易用的经典机器学习框架

3K 10 2

fukuml

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

2K 284 71

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.

2K 171 60

spkit

Signal Processing Toolkit, including ML models with visualization

1K 37 33

skorecard

scikit-learn compatible tools for building credit risk acceptance models

1K 111 32

stattools

Statistical learning and inference algorithms implemented in Python 3

1K 2 2

nueramic-mathml

ML optimization on torch

986 2 0

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++.

841 17 3

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

638 3 0

mlektic

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

637 0 0

classicml-python

简单易用的经典机器学习框架

636 10 2

fisher-scoring

A Python implementation of the Fisher Scoring algorithm for proportion and incidence rate modeling.

567 10 0

tno-fl-protocols-logistic-regression

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

432 0 0

pyfacy

Face Recognition with Machine Learning and Face Clustering

400 12 9

text-classification-baseline

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

383 61 4

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.

313 3 2