40 lines
1.7 KiB
YAML
40 lines
1.7 KiB
YAML
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
|
|
name: 'Deploy Model - Watson Machine Learning'
|
|
description: |
|
|
Deploy stored model on Watson Machine Learning as a web service.
|
|
metadata:
|
|
annotations: {platform: 'IBM Watson Machine Learning'}
|
|
inputs:
|
|
- {name: model_uid, description: 'Required. UID for the stored model on Watson Machine Learning'}
|
|
- {name: model_name, description: 'Required. Model Name on Watson Machine Learning'}
|
|
- {name: scoring_payload, description: 'Sample Payload file name in the object storage', default: ''}
|
|
- {name: deployment_name, description: 'Deployment Name on Watson Machine Learning', default: ''}
|
|
outputs:
|
|
- {name: scoring_endpoint, description: 'Link to the deployed model web service'}
|
|
- {name: model_uid, description: 'UID for the stored model on Watson Machine Learning'}
|
|
implementation:
|
|
container:
|
|
image: docker.io/aipipeline/wml-deploy:latest
|
|
command: ['python']
|
|
args: [
|
|
/app/wml-deploy.py,
|
|
--model-uid, {inputValue: model_uid},
|
|
--model-name, {inputValue: model_name},
|
|
--scoring-payload, {inputValue: scoring_payload},
|
|
--deployment-name, {inputValue: deployment_name}
|
|
]
|
|
fileOutputs:
|
|
scoring_endpoint: /tmp/scoring_endpoint
|
|
model_uid: /tmp/model_uid
|