Tutorial

Prerequisites
A Cortex cluster (installation instructions)
The Cortex CLI (installation instructions)
Deployment
Let's deploy a classifier built using the famous iris data set!
cortex.yaml
$ mkdir iris && cd iris && touch cortex.yaml
Cortex requires a cortex.yaml file which defines a deployment resource. An api resource makes the model available as a live web service that can serve real-time predictions.
# cortex.yaml
​
- kind: deployment
  name: iris
​
- kind: api
  name: classifier
  model: s3://cortex-examples/iris/tensorflow.zip
Cortex is able to read from any S3 bucket that you have access to.
Deploy the API
$ cortex deploy
​
# Get a summary of resource statuses
$ cortex get --watch
Test the API
# Get the endpoint
$ cortex get classifier
​
# Test the API
$ curl -k -X POST -H "Content-Type: application/json" \
       -d '{ "samples": [ { "sepal_length": 5.2, "sepal_width": 3.6, "petal_length": 1.4, "petal_width": 0.3 } ] }' \
       <API endpoint>
Cleanup
# Delete the deployment
cortex delete iris
Install
Next - Model Deployments
Deployments
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