Run Experiment / Deploy Model
Once the Docker image has been built and pushed to the internal registry, the experiment/model can now be executed within this isolated environment.
In case of experiments, you can track live progress as the experiment executes in the experiment's Session tab.
Unlike experiments, models do not display live execution progress in a
console. Behind the scenes, Cloudera Machine Learning will move on to
deploying the model in a serving environment based on the computing
resources and replicas you requested. Once deployed you can go to the
model's Monitoring page to view statistics on the
number of requests served/dropped and
for the model replicas.