- Overview
- Getting Started Guide
- UserGuide
-
References
-
ABEJA Platform CLI
- CONFIG COMMAND
- DATALAKE COMMAND
- DATASET COMMAND
- TRAINING COMMAND
-
MODEL COMMAND
- check-endpoint-image
- check-endpoint-json
- create-deployment
- create-endpoint
- create-model
- create-service
- create-trigger
- create-version
- delete-deployment
- delete-endpoint
- delete-model
- delete-service
- delete-version
- describe-deployments
- describe-endpoints
- describe-models
- describe-service-logs
- describe-services
- describe-versions
- download-versions
- run-local
- run-local-server
- start-service
- stop-service
- submit-run
- update-endpoint
- startapp command
-
ABEJA Platform CLI
- FAQ
- Appendix
startapp command
The CLI startapp command provides code for each template so you can start learning and inferencing immediately.
Synopsis
$ abeja startapp [--help]
Usage: abeja startapp [OPTIONS]
Generate application template
Options:
-n, --name TEXT Application name [required]
-d, --dir TEXT Destination
--help Show this message and exit.
Option
-n
, --name
Specify the folder name where the template code is created.
-d
, --dir
Create a folder for creating the template code under the specified folder.
Example
Create a template code for training / inference in the specified folder.
Command:
$ abeja startapp -n test1 -d project1
Output:
{
"message": "\"test1\" application is successfully generated."
}
Confirmation:
$ ls project1/test1/
predict.py requirements-local.txt train.py