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Expand Up @@ -23,6 +23,7 @@
"# Using Synapse Spark Pool as a Compute Target from Azure Machine Learning Remote Run\n",
"1. To use Synapse Spark Pool as a compute target from Experiment Run, [ScriptRunConfig](https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.script_run_config.scriptrunconfig?view=azure-ml-py) is used, the same as other Experiment Runs. This notebook demonstrates how to leverage ScriptRunConfig to submit an experiment run to an attached Synapse Spark cluster.\n",
"2. To use Synapse Spark Pool as a compute target from [Azure Machine Learning Pipeline](https://aka.ms/pl-concept), a [SynapseSparkStep](https://docs.microsoft.com/en-us/python/api/azureml-pipeline-steps/azureml.pipeline.steps.synapse_spark_step.synapsesparkstep?view=azure-ml-py) is used. This notebook demonstrates how to leverage SynapseSparkStep in Azure Machine Learning Pipeline.\n",
"# If you are using AML Compute Instance: Notebook executed over a Kernel "Python 3.6 - AzureML" (if you prefer a fresh Python 3 kernel use !pip install -U "azureml-core==1.27.0" in a dedicated cell). Kernel "Python 3.8 - AzureML" doesnt work "
"\n",
"## Before you begin:\n",
"1. **Create an Azure Synapse workspace**, check [this] (https://docs.microsoft.com/en-us/azure/synapse-analytics/quickstart-create-workspace) for more information.\n",
Expand Down Expand Up @@ -385,6 +386,7 @@
"metadata": {},
"outputs": [],
"source": [
"from azureml.core.compute import AmlCompute",
"# Choose a name for your CPU cluster\n",
"cpu_cluster_name = \"cpucluster\"\n",
"\n",
Expand Down Expand Up @@ -504,4 +506,4 @@
},
"nbformat": 4,
"nbformat_minor": 2
}
}