Create a model using the CLI

Provides steps to create a model using the CLI.

Open a terminal window and log into cdswctl.
Obtain the engine image ID as described in the following steps:
1. Run the following command:
```
cdswctl projects list
```
  The project ID, your username, and the project name are displayed. For example:
  
  1: john-smith/petal-length-predictor
2. Note the project ID, which is a number in front of your project name.
  In this case, it is "1".
Run the following command while specifying the project name and note the engine image ID:
```
cdswctl engine-images list -p <project-name>
```
For example,
```
cdswctl engine-images list -p john-smith/petal-length-predictor
```

Create a model by using the following command:

cdswctl models create 
--kernel="python3" 
--targetFilePath="predict.py" 
--targetFunctionName="predict" 
--name="Petal Length Predictor" 
--cpuMillicores=1000 
--memoryMb=2000 
--description="Model of the Iris dataset" 
--replicationType=fixed 
--numReplicas=1 
--visibility="private" 
--autoBuildModel 
--autoDeployModel 
--projectId=<project ID> 
--examples='{"request":{"petal_length":1}}'  
--engineImageId=<engine image ID from before>

If the command runs successfully, the system displays the model details in a JSON format.

For more information about the models create command parameters, run the following command:

cdswctl models create --help