All, I am trying to train a distributed model using Horovod on Azure Machine Learning Service as shown below. estimator = TensorFlow(source_directory=script_fo
I have a machine learning model registered in the model registry of my Azure Machine Learning workspace. Now I want to containerize such model inside a Linux do
I'm struggling to deploy a model with a custom environment through the azureml SDK. I have built a docker image locally and pushed it to azure container registr
So I've got an Azure Machine Learning pipeline here that consists of a number of PythonScriptStep tasks - pretty basic really. Some of these script steps fail i
Our azure machine learning workspace container registry has grown extremely large (4Tb) and has many obsolete entries. I would like to delete the registry and s
I would like to run a test script on an existing compute instance of Azure using the Azure Machine Learning extension to the Azure CLI: az ml run submit-script