Home » com.github.fracpete » lightgbm-weka-package » 2023.3.1

LightGBM » 2023.3.1

Classifier (regression/classification) using the LightGBM gradient boosting framework (https://github.com/microsoft/LightGBM).

LicenseGPL 3.0
Tagsgithubwekamachine-learning
HomePage https://github.com/fracpete/lightgbm-weka-package 🔍 Inspect URL
DateMar 01, 2023
Filespom (9 KB)  jar (14 KB)  View All
RepositoriesCentral
Ranking#841782 in MvnRepository (See Top Artifacts)

Scope:
Scope:
Format:
Scope:
Scope:
Scope:
Scope:
Scope:
Scope:

Compile Dependencies (2)

Category/License Group / ArtifactVersionUpdates

Apache 2.0		io.github.metarank » lightgbm4j 3.3.2-54.6.0-2
Machine Learning
GPL 3.0		nz.ac.waikato.cms.weka » weka-dev[3.7.11,)3.9.6

Test Dependencies (2)

Category/License Group / ArtifactVersionUpdates
Testing
EPL 2.0		junit » junit 4.13.16.0.1
Machine Learning
GPL 3.0		nz.ac.waikato.cms.weka » weka-dev[3.7.11,)3.9.6

Licenses

LicenseURL
GNU General Public License 3 http://www.gnu.org/licenses/gpl-3.0.txt

Developers

NameEmailDev IdRolesOrganization
Peter Reutemannfracpete

Related Books

Machine Learning Algorithms in DepthMachine Learning Algorithms in Depth (2025)
by Smolyakov, Vadim
Ultimate Java for Data Analytics and Machine Learning: Unlock Java's Ecosystem for Data Analysis and Machine Learning Using WEKA, JavaML, JFreeChart, and Deeplearning4j (English Edition)Ultimate Java for Data Analytics and Machine Learning: Unlock Java's Ecosystem for Data Analysis and Machine Learning Using WEKA, JavaML, JFreeChart, and Deeplearning4j (English Edition) (2024)
by Kumar, Abhishek
Architecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the CloudArchitecting Data and Machine Learning Platforms: Enable Analytics and AI-Driven Innovation in the Cloud (2023)
by Tranquillin, Marco, Lakshmanan, Valliappa, Tekiner, Firat
Machine Learning System Design InterviewMachine Learning System Design Interview (2023)
by Aminian, Ali, Xu, Alex
Applied Machine Learning and AI for Engineers: Solve Business Problems That Can't Be Solved AlgorithmicallyApplied Machine Learning and AI for Engineers: Solve Business Problems That Can't Be Solved Algorithmically (2022)
by Prosise, Jeff
Designing Machine Learning Systems: An Iterative Process for Production-Ready ApplicationsDesigning Machine Learning Systems: An Iterative Process for Production-Ready Applications (2022)
by Huyen, Chip
Machine Learning Engineering in ActionMachine Learning Engineering in Action (2022)
by Wilson, Ben
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOpsMachine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps (2020)
by Lakshmanan, Valliappa, Robinson, Sara, Munn, Michael
Machine Learning in Java: Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd EditionMachine Learning in Java: Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition (2018)
by Bhatia, AshishSingh, Kaluza, Bostjan