- Overview
- Getting Started Guide
- UserGuide
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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
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- run-local
- run-local-server
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- stop-service
- submit-run
- update-endpoint
- startapp command
-
ABEJA Platform CLI
- FAQ
- Appendix
update-version
Description
Update the training job definition version.
Synopsis
$ abeja training update-version [--help]
Usage: abeja training update-version [OPTIONS]
Options:
-v, --version TEXT Job definition version. By default, latest version
is used
-d, --description TEXT Description for the training job, which must be less
than or equal to 256 characters.
--help Show this message and exit.
Options
-v
, --version
Specify the training definition version you want to update. If not specified, the latest training definition version is specified.
-d
, --description
Describe of training definition version
Example
Update training definition version
Update the training definition version in this example.
Default training configuration file (training.yaml):
name: training1
handler: train:handler
image: abeja-inc/all-gpu:19.04
datasets:
"mnist": "1111111111111"
Command:
$ abeja training update-version --version 1 --description 'description here'
Output:
{
"job_definition_id": "1010101010101",
"job_definition_version": 1,
"handler": "train:handler",
"datasets": {
"mnist": "1111111111111"
},
"description": "description here",
"image": "abeja-inc/all-gpu:19.04",
"source_code_base64": "",
"user_parameters": {},
"archived": false,
"created_at": "2019-06-05T02:53:40.702435Z",
"modified_at": "2019-06-05T02:53:40.760087Z"
}