Modeler LDA

Build probabilistic Topic Models based on Latent Dirichlet Allocation (LDA)

Get Started!

A prerequisite to consider is to have installed Docker-Compose in your system.

You can run this service in a isolated way (see Distibuted Deployment section) or as extension of the api. In that case, add the following services to the existing docker-compose.yml file:

modelerLDA:
  container_name: modelerLDA
  image: librairy/modeler-lda
  links:
      - column-db
      - document-db
      - graph-db
      - event-bus

and then, deploy it by typing:

$ docker-compose up

That's all!! modeler-lda should be run in your system now along with librairy.

Distributed Deployment

Instead of deploy all containers as a whole, you can deploy each of them independently. It is useful to run the service in a distributed way deployed in several host-machines.

• modelerLDA:

  $ docker run -it --rm --name modelerLDA librairy/modeler-lda

Remember that by using the flags: -it --rm, the services runs in foreground mode. Instead, you can deploy it in background mode as a domain service by using: -d --restart=always