I have Splunk Free installed on AWS using the Splunk AMI (AWS linux). The docker environment is running on the same AWS instance where splunk is installed. When I try to run the pytorch iris model, I get an an error message that the Endpoint URL is not HTTPS. Search command: | inputlookup iris.csv | sample partitions=10 seed=42 | where partition_number<7 | fit MLTKContainer algo=pytorch_nn epochs=10 feature_variables=sepal_length, sepal_width, petal_length, petal_width target_variables=species into app:PyTorch_iris_model_nn Errors: Error in 'fit' command: Error while initializing algorithm "MLTKContainer": Endpoint URL () is not HTTPS and therefore not allowed. MLTKC endpoint: The search job has failed due to an error. You may be able view the job in the Job Inspector My setup: Splunk DLTK 3.5, MLTK 5.2.1, Python for Scientific Computing 2.0.2 Docker host is unix://var/run/docker.sock Endpoint URL: localhost External URL: set to public IP address of AWS Instance When I click the Test&Save button on setup, the popup says 'Successfullly etablished connection to the container environment' and I can start the dev container and access Jupyter Notebook, MLFlow, and Tensorboard. I tried the external endpoint url to start with https, but get the same error.
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