metadata tag for watson components

components/ibm-components/watson/deploy/component.yaml

@@ -13,6 +13,8 @@
 name: 'Watson Machine Learning - Deploy Model'
 description: |
   Deploy stored model on Watson Machine Learning as a web service.
+metadata:
+  labels: {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'}

components/ibm-components/watson/manage/monitor_fairness/component.yaml

@@ -13,6 +13,8 @@
 name: 'Watson OpenScale - Monitor Fairness'
 description: |
   Enable model fairness monitoring on Watson OpenScale.
+metadata:
+  labels: {platform: 'IBM Watson OpenScale'}
 inputs:
   - {name: model_name,            description: 'Deployed model name on OpenScale.', default: 'AIOS Spark German Risk Model - Final'}
   - {name: fairness_threshold,    description: 'Amount of threshold for fairness monitoring.', default: '0.95'}

components/ibm-components/watson/manage/monitor_quality/component.yaml

@@ -13,6 +13,8 @@
 name: 'Watson OpenScale - Monitor quality'
 description: |
   Enable model quality monitoring on Watson OpenScale.
+metadata:
+  labels: {platform: 'IBM Watson OpenScale'}
 inputs:
   - {name: model_name,           description: 'Deployed model name on OpenScale.', default: 'AIOS Spark German Risk Model - Final'}
   - {name: problem_type,         description: 'Model problem type.', default: 'BINARY_CLASSIFICATION'}

components/ibm-components/watson/manage/subscribe/component.yaml

@@ -13,6 +13,8 @@
 name: 'Watson OpenScale - Subscribe'
 description: |
   Binding deployed models and subscribe them to Watson OpenScale service.
+metadata:
+  labels: {platform: 'IBM Watson OpenScale'}
 inputs:
   - {name: model_name,    description: 'Deployed model name.', default: 'AIOS Spark German Risk Model - Final'}
   - {name: model_uid,     description: 'Deployed model uid.', default: 'dummy uid'}

components/ibm-components/watson/store/component.yaml

@@ -13,6 +13,8 @@
 name: 'Watson Machine Learning - Store model'
 description: |
   Store and persistent trained model on Watson Machine Learning.
+metadata:
+  labels: {platform: 'IBM Watson Machine Learning'}
 inputs:
   - {name: run_uid,        description: 'Required. UID for the Watson Machine Learning training-runs'}
   - {name: model_name,     description: 'Required. Model Name to store on Watson Machine Learning'}

components/ibm-components/watson/train/component.yaml

@@ -13,6 +13,8 @@
 name: 'Watson Machine Learning - Train Model'
 description: |
   Train Machine Learning and Deep Learning Models in the Cloud using Watson Machine Learning
+metadata:
+  labels: {platform: 'IBM Watson Machine Learning'}
 inputs:
   - {name: train_code,        description: 'Required. Code for training ML/DL models'}
   - {name: execution_command, description: 'Required. Execution command to start the model training.'}