mlrun.env

# default env vars, will be loaded once MLRun imports/starts
# write here remote cluster credentials, addresses, etc.
# uncomment the relevant lines and set with proper parameters

# local/remote MLRun service address
MLRUN_DBPATH=http://localhost:8080

# if Nuclio not detected simulate it with mock
MLRUN_MOCK_NUCLIO_DEPLOYMENT=auto

# Iguazio cluster and V3IO credentials (for remote cluster)
# V3IO_USERNAME=<user>
# V3IO_ACCESS_KEY=<access-key>

# AWS S3/services credentials
# AWS_ACCESS_KEY_ID=<key-id>
# AWS_SECRET_ACCESS_KEY=<access-key>

# The Azure connection string which points at a storage account. For example:
#   DefaultEndpointsProtocol=https;AccountName=myAcct;AccountKey=XXXX;EndpointSuffix=core.windows.net
# AZURE_STORAGE_CONNECTION_STRING=<connection-string>