Oryx

Last Version: 2.8.0

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Common

com.cloudera.oryx : oryx-common

Common utilities and support code

Last Version: 2.8.0

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Apps: Common

com.cloudera.oryx : oryx-app-common

Common code supporting all layers of apps in this project

Last Version: 2.8.0

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Kafka Utilities

com.cloudera.oryx : kafka-util

Kafka-related utility code

Last Version: 2.8.0

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Apps: API

com.cloudera.oryx : oryx-app-api

Developer APIs for apps provided in this project

Last Version: 2.8.0

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ML

com.cloudera.oryx : oryx-ml

Framework supporting batch and speed components of machine learning applications following the lambda architecture

Last Version: 2.8.0

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Lambda

com.cloudera.oryx : oryx-lambda

Framework supporting batch and speed components of an application following the lambda architecture

Last Version: 2.8.0

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Apps: Oryx

com.cloudera.oryx : oryx-app

Speed and batch components of machine learning applications built from algorithms implemented in this project

Last Version: 2.8.0

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Apps: Spark MLlib

com.cloudera.oryx : oryx-app-mllib

Speed and batch components of machine learning applications built on Spark MLlib

Last Version: 2.8.0

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Apps: Oryx (Serving)

com.cloudera.oryx : oryx-app-serving

Serving components of machine learning applications built from algorithms implemented in this project

Last Version: 2.8.0

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Lambda Serving

com.cloudera.oryx : oryx-lambda-serving

Framework supporting serving components of an application following the lambda architecture

Last Version: 2.8.0

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PPINOT extension for ORYX Editor

es.us.isa.ppinot : ppinot-oryx

Process Performance Indicators Notation and Tool

Last Version: 2.2

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Example

com.cloudera.oryx : example

Example Application

Last Version: 2.8.0

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Oryx

com.cloudera.oryx : oryx

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.

Last Version: 2.8.0

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Batch Layer

com.cloudera.oryx : oryx-batch

Complete packaged batch layer binary, including project implementations of machine learning algorithms' batch component

Last Version: 2.8.0

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Serving Layer

com.cloudera.oryx : oryx-serving

Complete packaged serving layer binary, including project implementations of machine learning algorithms' serving component

Last Version: 2.8.0

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Speed Layer

com.cloudera.oryx : oryx-speed

Complete packaged speed layer binary, including project implementations of machine learning algorithms' speed components

Last Version: 2.8.0

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