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model.yaml
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model.yaml
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# NOTE: This file is committed to the repository. It MUST NOT contain keys or secrets.
name: my-model-endpoint
description: My model endpoint
api_version: 0.1
aad_tenant_id: _CHANGE_ME_ # Tenant ID for UCLHSDE (FlowEHR prod)
subscription_id: _CHANGE_ME_ # Azure Subscription ID for UCLHSDE Subscription (FlowEHR prod)
feature_store:
server: _CHANGE_ME_.database.windows.net
database: sql-db-features
aml:
resource_group_name: _CHANGE_ME_ # can find from the AML portal
workspace_name: _CHANGE_ME # get from TRE portal
aml_suffix: _CHANGE_ME_ # last 4 chars of AML workspace service - get from TRE portal (like "f0ed")
registry:
name: aml-registry-uclh-flowehr-prod
location: uksouth
monitoring_store:
uri: https://_CHANGE_ME_.documents.azure.com:443/ # also in os.environ["COSMOS_STATE_STORE_ENDPOINT"]
database_name: _CHANGE_ME_-state # should be <this-git-repo-name>-state, like los-predictor-state
container_name: _CHANGE_ME # should be <this-git-repo-name>
# Update this list to reflect the datasets you have created
datasets:
- name: _CHANGE_ME_
description: _CHANGE_ME_
local_directory_path: ./local_assets/datasets/my-dataset/ # path to folder on your machine containing the dataset
file_name: my-file.csv
version: 1
# Update this list to reflect the models that you have registered in AML at the end of training jobs
models:
- name: _CHANGE_ME_ # Set the model name here when you have run training in AML and have a model
description: _CHANGE_ME_
version: 1
is_mlflow: True