Log a numerical or string value to the run with the given name using log(name, value, description=''). Logging a metric to a run causes that metric to be stored in the run record in the experiment. You can log the same metric multiple times within a run, the result being considered a vector of that metric. Example: run.log("accuracy", 0.95) Reference: https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.run