Releases: wso2-attic/product-ml
WSO2 Machine Learner 1.1.0 - Beta Release
v1.1.0-beta [maven-release-plugin] copy for tag v1.1.0-beta
WSO2 Machine Learner 1.1.0 - Alpha Release
WSO2 Machine Learner Alpha release documentation can be found here:
WSO2MachineLearner1.1.0-AlphaRelease.pdf
WSO2 Machine Learner 1.1.0 - Milestone 2
WSO2 Machine Learner Milestone 2 release documentation can be found here:
WSO2MachineLearner1.1.0-MilestoneRelease2.pdf
WSO2 Machine Learner 1.1.0 - Milestone 1
WSO2 Machine Learner Milestone 1 release documentation can be found here:
WSO2MachineLearner1.1.0-MilestoneRelease1.pdf
WSO2 Machine Learner 1.0.0
Machine learning has emerged as a key component of big data analytics space. The goal of WSO2 Machine Learner is to make machine learning accessible to WSO2 big data platform. WSO2 Machine Learner (http://wso2.com/products/machine-learner/) provides a user friendly wizard like interface, which guides users through a set of steps to find and configure machine learning algorithms. The outcome of this process is a model that can be deployed in multiple WSO2 products, such as WSO2 Enterprise Service Bus (ESB), WSO2 Complex Event Processor (CEP), WSO2 Data Analytics Server (DAS) etc.
The novice-friendly machine learning analysis allows developers, data scientists and database administrators to quickly implement machine learning methods. If you are familiar with WSO2 products, you can utilize WSO2 Machine Learner to build machine learning models for various tasks, such as fraud detection, anomaly detection, classification etc. WSO2 Machine Learner is built up on the award-winning, WSO2 Carbon platform, which is based on the OSGi framework enabling better modularity for your service oriented architecture (SOA).
This is the Release candidate-2 release of WSO2 Machine Learner product and is released under Apache Software License Version 2.0, one of the most business-friendly licenses available today.
You can find the WSO2 Machine Learner 1.0.0 - Release candidate-2,
Distribution and P2-repo : http://wso2.com/products/machine-learner/
Documentation:
Introduction - https://docs.wso2.com/display/ML100/Introducing+Machine+Learner
Architecture Guide - https://docs.wso2.com/display/ML100/Architecture
REST API guide - https://docs.wso2.com/display/ML100/REST+API+Guide
User Guide - https://docs.wso2.com/display/ML100/User+Guide
Sample ML Flows - https://docs.wso2.com/display/ML100/Samples
Please report any issues you may find in our Jira https://wso2.org/jira/browse/ML
WSO2 Machine Learner 1.0.0 - RC1
Machine learning has emerged as a key component of big data analytics space. The goal of WSO2 Machine Learner is to make machine learning accessible to WSO2 big data platform. WSO2 Machine Learner provides a user friendly wizard like interface, which guides users through a set of steps to find and configure machine learning algorithms. The outcome of this process is a model that can be deployed in multiple WSO2 products, such as WSO2 Enterprise Service Bus (ESB), WSO2 Complex Event Processor (CEP), WSO2 Data Analytics Server (DAS) etc.
The novice-friendly machine learning analysis allows developers, data scientists and database administrators to quickly implement machine learning methods. If you are familiar with WSO2 products, you can utilize WSO2 Machine Learner to build machine learning models for various tasks, such as fraud detection, anomaly detection, classification etc. WSO2 Machine Learner is built up on the award-winning, WSO2 Carbon platform, which is based on the OSGi framework enabling better modularity for your service oriented architecture (SOA).
This is the Release candidate-1 release of WSO2 Machine Learner product and is released under Apache Software License Version 2.0, one of the most business-friendly licenses available today.
You can find the WSO2 Machine Learner 1.0.0 - Release candidate-1,
Distribution and P2-repo attached with this release note.
Documentation:
Introduction - https://docs.wso2.com/display/ML100/Introducing+Machine+Learner
Architecture Guide - https://docs.wso2.com/display/ML100/Architecture
REST API guide - https://docs.wso2.com/display/ML100/REST+API+Guide
User Guide - https://docs.wso2.com/display/ML100/User+Guide
ML UI Guide - https://docs.wso2.com/display/ML100/ML+UI+Workflow
Sample ML Flows - https://docs.wso2.com/display/ML100/Samples
Please report any issues you may find in our Jira https://wso2.org/jira/browse/ML
WSO2 Machine Learner 1.0.0 - Beta4
1.0.0-beta4 Update README.md
WSO2 Machine Learner 1.0.0 - Beta3
Merge pull request #251 from cdathuraliya/master Upgrade carbon-analytics-common
WSO2 Machine Learner 1.0.0 - Beta2
Machine learning has emerged as a key component of big data analytics space. The goal of WSO2 Machine Learner is to make machine learning accessible to WSO2 big data platform. WSO2 Machine Learner provides a user friendly wizard like interface, which guides users through a set of steps to find and configure machine learning algorithms. The outcome of this process is a model that can be deployed in multiple WSO2 products, such as WSO2 Enterprise Service Bus (ESB), WSO2 Complex Event Processor (CEP), WSO2 Data Analytics Server (DAS) etc.
The novice-friendly machine learning analysis allows developers, data scientists and database administrators to quickly implement machine learning methods. If you are familiar with WSO2 products, you can utilize WSO2 Machine Learner to build machine learning models for various tasks, such as fraud detection, anomaly detection, classification etc. WSO2 Machine Learner is built up on the award-winning, WSO2 Carbon platform, which is based on the OSGi framework enabling better modularity for your service oriented architecture (SOA).
This is the beta-2 release of WSO2 Machine Learner product and is released under Apache Software License Version 2.0, one of the most business-friendly licenses available today.
WSO2 Machine Learner 1.0.0 - Beta-2;
Improved User Interface (https://docs.wso2.com/display/ML100/ML+UI+Workflow)
External Spark Cluster Support (https://docs.wso2.com/display/ML100/Connecting+to+an+External+Apache+Spark+Cluster)
HDFS support (https://docs.wso2.com/display/ML100/HDFS+Support)
Model comparison (https://docs.wso2.com/display/ML100/Model+Comparison)
Data exploration (https://docs.wso2.com/display/ML100/Data+Exploration)
WSO2 DAS Integration (https://docs.wso2.com/display/ML100/Integration+with+WSO2+Data+Analytics+Server)
Publishing models to WSO2 Registry (https://docs.wso2.com/display/ML100/Publish+a+model+via+REST+API)
WSO2 ESB-ML mediator (https://docs.wso2.com/display/ML100/Predict+Mediator+for+ESB)
WSO2 CEP-ML extension
You can find the WSO2 Machine Learner 1.0.0 - Beta-2,
Distribution and P2-repo attached with this release note.
Documentation:
Introduction - https://docs.wso2.com/display/ML100/Introducing+Machine+Learner
Architecture Guide - https://docs.wso2.com/display/ML100/Architecture
REST API guide - https://docs.wso2.com/display/ML100/REST+API+Guide
User Guide - https://docs.wso2.com/display/ML100/User+Guide
ML UI Guide - https://docs.wso2.com/display/ML100/ML+UI+Workflow
Sample ML Flows - https://docs.wso2.com/display/ML100/Samples
Please report any issues you may find in our Jira https://wso2.org/jira/browse/ML
WSO2 Machine Learner 1.0.0 - Beta1
Machine learning has emerged as a key component of big data analytics space. The goal of WSO2 Machine Learner is to make machine learning accessible to WSO2 big data platform. WSO2 Machine Learner provides a user friendly wizard like interface, which guides users through a set of steps to find and configure machine learning algorithms. The outcome of this process is a model that can be deployed in multiple WSO2 products, such as WSO2 Enterprise Service Bus (ESB), WSO2 Complex Event Processor (CEP), WSO2 Data Analytics Server (DAS) etc.
The novice-friendly machine learning analysis allows developers, data scientists and database administrators to quickly implement machine learning methods. If you are familiar with WSO2 products, you can utilize WSO2 Machine Learner to build machine learning models for various tasks, such as fraud detection, anomaly detection, classification etc. WSO2 Machine Learner is built up on the award-winning, WSO2 Carbon platform, which is based on the OSGi framework enabling better modularity for your service oriented architecture (SOA).
This is the beta-1 release of WSO2 Machine Learner product and is released under Apache Software License Version 2.0, one of the most business-friendly licenses available today.
WSO2 Machine Learner 1.0.0 - Beta-1;
Improved User Interface (https://docs.wso2.com/display/ML100/ML+UI+Workflow)
External Spark Cluster Support (https://docs.wso2.com/display/ML100/Connecting+to+an+External+Apache+Spark+Cluster)
HDFS support (https://docs.wso2.com/display/ML100/HDFS+Support)
Model comparison (https://docs.wso2.com/display/ML100/Model+Comparison)
Data exploration (https://docs.wso2.com/display/ML100/Data+Exploration)
WSO2 DAS Integration (https://docs.wso2.com/display/ML100/Integration+with+WSO2+Data+Analytics+Server)
Publishing models to WSO2 Registry (https://docs.wso2.com/display/ML100/Publish+a+model+via+REST+API)
WSO2 ESB-ML mediator (https://docs.wso2.com/display/ML100/Predict+Mediator+for+ESB)
WSO2 CEP-ML extension
You can find the WSO2 Machine Learner 1.0.0 - Beta-1,
Introduction - https://docs.wso2.com/display/ML100/Introducing+Machine+Learner
Architecture Guide - https://docs.wso2.com/display/ML100/Architecture
REST API guide - https://docs.wso2.com/display/ML100/REST+API+Guide
User Guide - https://docs.wso2.com/display/ML100/User+Guide
ML UI Guide - https://docs.wso2.com/display/ML100/ML+UI+Workflow
Sample ML Flows - https://docs.wso2.com/display/ML100/Samples
Please report any issues you may find in our Jira https://wso2.org/jira/browse/ML