Getting started¶
Getting User Credentials¶
If you have secured MongoDB and RabbitMQ make sure to specify the user credentials in the respective environment variables or the omega|ml configuration file.
Enterprise Edition
Sign up at hub.omegaml.io to retrieve your userid and apikey. Then login as follows. This will store your login credentials at ~/config/omegaml/config.yml and any subsequent API call will be directed to our cloud.
om cloud login --userid USERID --apikey APIKEY
Loading omega|ml¶
Start by loading omega|ml.
import omegaml as om
Once loaded om
provides several storage areas that are immediately usable:
om.datasets
- storage area for Python and Pandas objectsom.models
- storage area for modelsom.scripts
- storage area for custom modules (a.k.a. lambda modules)om.jobs
- storage area for jobs (ipython notebooks)
In addition, your cluster or cloud resources are available as
om.runtime
- the omega|ml remote execution environment
Loading omega|ml from python¶
Starting up omega|ml is straight forward. In any Python program or interactive
shell just import the omegaml
module as follows:
import omegaml as om
The om
module is readily configured to work with your local omega|ml
server, or with the cloud instance configured using the om cloud login
command.