Lightgbm Python Packages

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

synapseml

Simple and Distributed Machine Learning

mlforecast

Scalable machine 🤖 learning for time series forecasting.

neptune

📘 The experiment tracker for foundation model training

skforecast

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

neptune-client

📘 The experiment tracker for foundation model training

eland

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

fasttreeshap

Fast SHAP value computation for interpreting tree-based models

lleaves

Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

pymars

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

m2cgen

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

nyoka

Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).

arfs

All Relevant Feature Selection

mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

shap-hypetune

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

xorbits

Scalable Python DS & ML, in an API compatible & lightning fast way.

auto-ml

Automated machine learning for production and analytics

mqboost

Multiple quantiles estimation model maintaining non-crossing condition (or monotone quantile condition) and preventing quantile crossing using LightGBM and XGBoost

lightgbmlss

An extension of LightGBM to probabilistic modelling

pyscipopt-ml

Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs

supertree

Visualize decision trees in Python

fairgbm

Train Gradient Boosting models that are both high-performance *and* Fair!

automl

Automated machine learning for production and analytics

deepalpha-freqai

Quant-grade ML plugin for Freqtrade/FreqAI: Triple Barrier labels, SHAP selection, meta-labeling, purged walk-forward CV, LightGBM.