Adds a menu item to the GUIChooser's main menu for converting command-lines into code snippets.

LicenseGPL 3.0
Tagsgithubcommandwekacodemachine-learning
Organization University of Waikato, Hamilton, NZ
HomePage https://github.com/fracpete/command-to-code-weka-package 🔍 Inspect URL
DateMay 08, 2016
Filespom (9 KB)  jar (18 KB)  View All
RepositoriesCentralSonatype
Ranking#241608 in MvnRepository (See Top Artifacts)
Used By2 artifacts

Note: There is a new version for this artifact

New Version2017.10.9

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

Compile Dependencies (1)

Category/License Group / ArtifactVersionUpdates
Machine Learning
GPL 3.0
nz.ac.waikato.cms.weka » weka-dev[3.9.0,)3.9.6

Test Dependencies (2)

Category/License Group / ArtifactVersionUpdates
Testing
EPL 2.0
junit » junit 3.8.26.0.1
Machine Learning
GPL 3.0
nz.ac.waikato.cms.weka » weka-dev[3.9.0,)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
Code: The Hidden Language of Computer Hardware and SoftwareCode: The Hidden Language of Computer Hardware and Software (2022)
by Petzold, Charles
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
Fundamentals of Software Architecture: An Engineering ApproachFundamentals of Software Architecture: An Engineering Approach (2020)
by Richards, Mark, Ford, Neal
The Pragmatic Programmer: Your Journey To Mastery, 20th Anniversary Edition (2nd Edition)The Pragmatic Programmer: Your Journey To Mastery, 20th Anniversary Edition (2nd Edition) (2019)
by Thomas, David, Hunt, Andrew
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
Clean Code: A Handbook of Agile Software CraftsmanshipClean Code: A Handbook of Agile Software Craftsmanship (2008)
by Robert C. Martin