lsiksous
/
mauviette
connected to https://github.com/lsiksous/mauviette.git


  
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            import mlflow

## Construct AzureML MLFLOW TRACKING URI
# def get_azureml_mlflow_tracking_uri(region, subscription_id, resource_group, workspace):
#     return "azureml://{}.api.azureml.ms/mlflow/v1.0/subscriptions/{}/resourceGroups/{}/providers/Microsoft.MachineLearningServices/workspaces/{}".format(region, subscription_id, resource_group, workspace)

# region='westeurope' ## example: westus
# subscription_id = '477be13e-1a7f-40f3-8572-8d64baa56411' ## example: 11111111-1111-1111-1111-111111111111
# resource_group = 'rg_0' ## example: myresourcegroup
# workspace = 'ws_0' ## example: myworkspacename

# MLFLOW_TRACKING_URI = get_azureml_mlflow_tracking_uri(region, subscription_id, resource_group, workspace)

MLFLOW_TRACKING_URI = "https://dagshub.com/lsiksous/mauviette.mlflow"
MLFLOW_TRACKING_USERNAME = 'lsiksous'
MLFLOW_TRACKING_PASSWORD = "00bbcc9a272c4647eacede7c17781cef796ce172"

## Set the MLFLOW TRACKING URI
mlflow.set_tracking_uri(MLFLOW_TRACKING_URI)

## Make sure the MLflow URI looks something like this: 
## #azureml://<REGION>.api.azureml.ms/mlflow/v1.0/subscriptions/<SUBSCRIPTION_ID>/resourceGroups/<RESOURCE_GROUP>/providers/Microsoft.MachineLearningServices/workspaces/<AML_WORKSPACE_NAME>

print("MLFlow Tracking URI:", MLFLOW_TRACKING_URI)