CloudForest
Tree ensemble library
A high-performance ensemble learning framework for decision trees in Go.
Ensembles of decision trees in go/golang.
739 stars
44 watching
92 forks
Language: Go
last commit: almost 3 years ago
Linked from 5 awesome lists
avelino/awesome-go
josephmisiti/awesome-machine-learning
kjw0612/awesome-random-forest
loveoss/awesome-cobol
xwjdsh/awesome-go-extraRelated projects:
| Repository | Description | Stars |
|---|---|---|
 rgf-team/rgf | A collection of implementations and wrappers for a tree ensemble machine learning method | 378 |
 rolnicklab/openforest | A catalogue of forest monitoring datasets for machine learning and research purposes. | 115 |
 serengil/chefboost | A Python library providing a lightweight framework for building decision trees with categorical feature support | 460 |
 fxsjy/rf.go | An implementation of Random Forest algorithm in GoLang for classification and regression tasks. | 114 |
 sgrodriguez/ddt | A Go-based decision tree library allowing custom rule-based decision making | 37 |
 malaschitz/randomforest | A Go implementation of random forest algorithms for machine learning and data analysis | 46 |
 eliavw/mercs-v5 | An implementation of a multi-directional ensemble learning method for classification and regression tasks using decision trees | 4 |
 tensorflow/decision-forests | Provides tools and APIs for training, serving, and interpreting decision forest models in TensorFlow. | 660 |
 bensadeghi/decisiontree.jl | A Julia package implementing popular machine learning algorithms | 8 |
 rcrowley/go-tigertonic | A Go framework for building JSON web services with flexible routing and handling mechanisms. | 995 |
 ikki407/stacking | A Python library implementing Stacked Generalization (Ensemble Learning) for combining multiple machine learning models to improve prediction accuracy. | 221 |
 mljs/random-forest | A JavaScript implementation of a random forest algorithm for classification and regression tasks. | 61 |
 ecpolley/superlearner | An R package implementing an automatic prediction model ensembling method with support for various algorithms and customization options. | 271 |
 flennerhag/mlens | A Python library for building and training ensemble machine learning models | 847 |
 cloudfoundry/lager | An opinionated logging library for the Go programming language. | 72 |