Ananda Verma created AMBARI-18622:
-------------------------------------
Summary: Integrate PredictionIO (Machine Learning Engine) With
Ambari
Key: AMBARI-18622
URL: https://issues.apache.org/jira/browse/AMBARI-18622
Project: Ambari
Issue Type: New Feature
Components: ambari-server
Affects Versions: 2.1.0
Reporter: Ananda Verma
Feature includes adding support for apache predictionIO cluster provisioning
via Ambari.
In general, pio can be defined as a service in HDP which has following
components -
1) Event Server - stores events (data)
2) Engine - Engine is responsible for making prediction. It contains one or
more machine learning algorithms. An engine reads training data and build
predictive model(s). It is then deployed as a web service. A deployed engine
responds to prediction queries from your application through REST API in
real-time.
PredictionIO also has external dependencies on following -
1. HBase: Event Server uses Apache HBase as the data store. It stores imported
events. If you are not using the PredictionIO Event Server, you do not need to
install HBase.
2. Apache Spark: Spark is a large-scale data processing engine that powers the
algorithm, training, and serving processing.
3. HDFS: The output of training has two parts: a model and its meta-data. The
model is then stored in HDFS or a local file system.
4. Elasticsearch: It stores metadata such as model versions, engine versions,
access key and app id mappings, evaluation results, etc.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
