Download oryx-lambda-serving JAR file with all dependencies
oryx-app-mllib from group com.cloudera.oryx (version 2.5.0)
Speed and batch components of machine learning applications built on
Spark MLlib
2 downloads
oryx-speed from group com.cloudera.oryx (version 2.6.0)
Complete packaged speed layer binary, including project implementations of
machine learning algorithms' speed components
1 downloads
oryx-batch from group com.cloudera.oryx (version 2.6.0)
Complete packaged batch layer binary, including project implementations of
machine learning algorithms' batch component
1 downloads
oryx-speed from group com.cloudera.oryx (version 2.8.0)
Complete packaged speed layer binary, including project implementations of
machine learning algorithms' speed components
oryx-batch from group com.cloudera.oryx (version 2.8.0)
Complete packaged batch layer binary, including project implementations of
machine learning algorithms' batch component
oryx-app from group com.cloudera.oryx (version 2.8.0)
Speed and batch components of machine learning applications built from
algorithms implemented in this project
oryx-app-mllib from group com.cloudera.oryx (version 2.8.0)
Speed and batch components of machine learning applications built on
Spark MLlib
oryx-app-common from group com.cloudera.oryx (version 2.8.0)
Common code supporting all layers of apps in this project
oryx-app-api from group com.cloudera.oryx (version 2.8.0)
Developer APIs for apps provided in this project
oryx-ml from group com.cloudera.oryx (version 2.8.0)
Framework supporting batch and speed components of machine learning applications
following the lambda architecture
oryx-common from group com.cloudera.oryx (version 2.8.0)
Common utilities and support code
oryx-api from group com.cloudera.oryx (version 2.8.0)
Developer APIs
oryx from group com.cloudera.oryx (version 2.8.0)
The Oryx open source project provides infrastructure for lambda-architecture
applications on top of Spark, Spark Streaming and Kafka. On this, it provides further
support for real-time, large scale machine learning, and end-to-end applications of
this support for common machine learning use cases, like recommendations, clustering,
classification and regression.
Group: com.cloudera.oryx Artifact: oryx
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