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# For more details on configuring execution targets, go to: http://aka.ms/vienna-docs-exec # Run iris_sklearn.py in local conda environment. az ml execute start -t local iris_sklearn.py # Run iris_sklearn.py in a local Docker container. az ml execute start -t docker iris_sklearn.py # Run iris_sklearn.py in a Docker container in a remote machine. # Note you need to create/configure myvm.compute. az ml execute start -t myvm iris_sklearn.py # Run iris_pyspark.py in a local Docker container (with Spark): az ml execute start -t docker iris_pyspark.py # Run iris_pyspark.py in a Docker container (with Spark) in a remote VM: # Note you need to create/configure myvm.compute az ml execute start -t myvm iris_pyspark.py # Run it in a remote HDInsight cluster: # Note you need to create/configure myhdi.compute az ml execute start -t myhdi iris_pyspark.py
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