This section is dedicated to the developers, who want to improve ML Lambda.
For the development you’ll probably need a working example, so first clone serving examples.
$ git clone https://github.com/Hydrospheredata/hydro-serving-example
To set up a development environment clone ML Lambda repository.
$ git clone https://github.com/Hydrospheredata/hydro-serving
Run PostgreSQL, Sidecar and UI containers.
$ cd hydro-serving $ sbt manager/devRun
Removing containers is done via:
$ sbt manager/cleanDockerEnv
To upload serving examples to ML Lambda, you’ll need
$ pip install hs
Add new local cluster.
$ hs cluster add --name local --server http://localhost/
Now, go to the
claims model example and upload it.
$ cd ../hydro-serving-example/model/claims $ hs upload
You can see the uploaded model from http://localhost/.