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ggirou/openscoring

By ggirou

Updated over 8 years ago

REST web service for the true real-time scoring (<1 ms) of R, Scikit-Learn and Apache Spark models

Image
0

869

ggirou/openscoring repository overview

Openscoring application for the Docker distributed applications platform

Overview

[Openscoring] (https://github.com/jpmml/openscoring) provides REST API for publishing and evaluating predictive models:

  • Model deployment and undeployment
  • Model evaluation in single prediction, batch prediction and CSV prediction modes
  • Model metrics

Installation

Prerequisites:

  • Docker 1.5 or newer

GitHub repository [jpmml/openscoring-docker] (https://github.com/jpmml/openscoring-docker) contains a Dockerfile for Openscoring command-line server application.

Building the latest Openscoring application image from the HEAD revision:

sudo docker build -t jpmml/openscoring:latest github.com/jpmml/openscoring-docker

Additionally, this GitHub repository is tracked by Docker Hub repository [jpmml/openscoring] (https://registry.hub.docker.com/u/jpmml/openscoring/) using the "Automated Builds" mechanism.

Pulling a stable Openscoring application image:

sudo docker pull jpmml/openscoring:1.2.2

Usage

Interactive mode

Running the image in the host networking mode:

sudo docker run --net="host" jpmml/openscoring:latest

The container shares host's network stack. It is possible to use privileged HTTP methods PUT and DELETE for deploying and undeploying models, respectively.

Passive mode

Running the image in the bridge (default) networking mode:

sudo docker run --net="bridge" -p 8080:8080 -v /path/to/pmml:/openscoring/pmml jpmml/openscoring:latest --model-dir /openscoring/pmml

The container uses Docker's default network setup, which is separate from host's network stack. It is impossible to use privileged HTTP methods. The only option for deploying and undeploying models is via the model auto-deployment directory /openscoring/pmml. This directory is mapped to host's filesystem directory /path/to/pmml using the data volume mechanism.

License

Openscoring is dual-licensed under the [GNU Affero General Public License (AGPL) version 3.0] (http://www.gnu.org/licenses/agpl-3.0.html) and a commercial license.

Additional information

Please contact [[email protected]] (mailto:[email protected])

Tag summary

Content type

Image

Digest

Size

259.9 MB

Last updated

over 8 years ago

docker pull ggirou/openscoring