Home » org.apache.systemml » systemml » 1.2.0

SystemML » 1.2.0

Declarative Machine Learning

LicenseApache 2.0
CategoriesMachine Learning
Tagsapachemachine-learningai
HomePage http://systemml.apache.org/ 🔍 Inspect URL
DateAug 17, 2018
Filespom (53 KB)  jar (6.0 MB)  View All
RepositoriesCentral
Ranking#451265 in MvnRepository (See Top Artifacts)
#42 in Machine Learning
VulnerabilitiesVulnerabilities from dependencies:
CVE-2024-7254
CVE-2024-23454
CVE-2023-26464
View 24 more ...

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

Compile Dependencies (15)

Category/License Group / ArtifactVersionUpdates
Serializer
BSD 3-clause		com.google.protobuf » protobuf-java6 vulnerabilities 3.2.04.33.1
Collections
Apache 2.0		commons-collections » commons-collections2 vulnerabilities 3.2.14.5.0
Logging
Apache 2.0		commons-logging » commons-logging 1.1.31.3.5
Logging
Apache 2.0		log4j » log4j6 vulnerabilities 1.2.152.25.2
Math Lib
Apache 2.0		org.apache.commons » commons-math3 3.4.14.0-beta1

Apache 2.0		org.apache.hadoop » hadoop-common10 vulnerabilities 2.6.03.4.2
Dist FS
Apache 2.0		org.apache.hadoop » hadoop-hdfs 2.6.03.4.2
Dist Computing
Apache 2.0		org.apache.hadoop » hadoop-client2 vulnerabilities 2.6.03.4.2

Apache 2.0		org.apache.hadoop » hadoop-mapreduce-client-app 2.6.03.4.2
Cluster Managment
Apache 2.0		org.apache.hadoop » hadoop-yarn-api 2.6.03.4.2
Cluster Managment
Apache 2.0		org.apache.hadoop » hadoop-yarn-common 2.6.03.4.2

Apache 2.0		org.apache.hadoop » hadoop-yarn-client 2.6.03.4.2

Apache 2.0		org.apache.hadoop » hadoop-mapreduce-client-common 2.6.03.4.2
Machine Learning
Apache 2.0		org.apache.spark » spark-mllib_2.11 2.1.04.0.1
JVM Languages
Apache 2.0		org.scala-lang » scala-library 2.11.83.7.4

Provided Dependencies (20)

Category/License Group / ArtifactVersionUpdates
Testing
EPL 2.0		junit » junit1 vulnerability 4.116.0.1
Parser Generator
BSD 3-clause		org.antlr » antlr4 4.5.34.13.2

Apache 2.0		org.apache.hadoop » hadoop-mapreduce-client-jobclient 2.6.03.4.2
JVM Languages
BSD 3-clause		org.codehaus.janino » janino 3.0.83.1.12

MIT		org.jcuda » jcuda 0.9.0d12.6.0

MIT		org.jcuda » jcublas 0.9.0d12.6.0

MIT		org.jcuda » jcusparse 0.9.0d12.6.0

MIT		org.jcuda » jcusolver 0.9.0d12.6.0

MIT		org.jcuda » jcudnn 0.9.0d12.6.0

MIT		org.jcuda » jcuda-natives 0.9.0d12.6.0

MIT		org.jcuda » jcublas-natives 0.9.0d12.6.0

MIT		org.jcuda » jcusparse-natives 0.9.0d12.6.0

MIT		org.jcuda » jcusolver-natives 0.9.0d12.6.0

MIT		org.jcuda » jcudnn-natives 0.9.0d12.6.0

MIT		org.jcuda » jcuda-natives 0.9.0d12.6.0

MIT		org.jcuda » jcublas-natives 0.9.0d12.6.0

MIT		org.jcuda » jcusparse-natives 0.9.0d12.6.0

MIT		org.jcuda » jcusolver-natives 0.9.0d12.6.0

MIT		org.jcuda » jcudnn-natives 0.9.0d12.6.0
Bytecode
Apache 2.0		org.scala-lang » scalap 2.11.82.13.17

Test Dependencies (2)

Category/License Group / ArtifactVersionUpdates
Mocking
MIT		org.mockito » mockito-core 1.9.55.20.0
Testing
Apache 2.0		org.scalatest » scalatest_2.11 2.2.63.2.19

Licenses

LicenseURL
Apache 2.0 License http://www.apache.org/licenses/LICENSE-2.0.html

Mailing Lists

NameDetails
Dev Mailing List dev-subscribe@systemml.apache.org
dev-unsubscribe@systemml.apache.org
Commits Mailing List commits-subscribe@systemml.apache.org
commits-unsubscribe@systemml.apache.org

Related Books

Applied AI for Enterprise Java Development: Leveraging Generative AI, LLMs, and Machine Learning in the Java EnterpriseApplied AI for Enterprise Java Development: Leveraging Generative AI, LLMs, and Machine Learning in the Java Enterprise (2025)
by Bueno, Alex Soto, Eisele, Markus, Vinto, Natale
AI for Everyday IT: Accelerate workplace productivityAI for Everyday IT: Accelerate workplace productivity (2025)
by LeMaire, Chrissy, Abshire, Brandon
The AI Engineering Bible: The Complete and Up-to-Date Guide to Build, Develop and Scale Production Ready AI SystemsThe AI Engineering Bible: The Complete and Up-to-Date Guide to Build, Develop and Scale Production Ready AI Systems (2025)
by Caldwell, Thomas R.
Machine Learning Algorithms in DepthMachine Learning Algorithms in Depth (2025)
by Smolyakov, Vadim
AI Engineering: Building Applications with Foundation ModelsAI Engineering: Building Applications with Foundation Models (2025)
by Huyen, Chip
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
AI and Machine Learning for Coders: A Programmer's Guide to Artificial IntelligenceAI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence (2020)
by Moroney, Laurence
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