- 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
create-job-definition
Description
Create a training definition. Pass the name from the training configuration file (training.yaml) as an argument.
Synopsis
$ abeja training create-job-definition [--help]
Usage: abeja training create-job-definition [OPTIONS]
Create training job definition
Options:
--help Show this message and exit.
Example
To create a training definition
Create a training definition for this example
Training configuration file (training.yaml) :
name: training1
# handler: train:handler
# image: abeja-inc/all-gpu:19.04
# params:
# param1: value1
# parma2: value2
# datasets:
# dataset_name1: value1
# dataset_name2: value2
Command:
$ abeja training create-job-definition
Output:
{
"created_at": "2018-02-21T09:56:35.430008Z",
"job_definition_id": "1368416720943",
"modified_at": "2018-02-21T09:56:35.430162Z",
"name": "training1",
"organization_id": "1102940376065",
"version_count": 0,
"versions": []
}