@@ -76,7 +76,7 @@ $schema: https://azuremlschemas.azureedge.net/latest/commandJob.schema.json
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# Possible Paths for Data:
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# Blob: https://<account_name>.blob.core.windows.net/<container_name>/<folder>/<file>
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- # Datastore: azureml://datastores/paths/<folder>/<file >
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+ # Datastore: azureml://datastores/<data_store_name>/paths/<path >
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# Data Asset: azureml:<my_data>:<version>
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command : |
@@ -119,7 +119,7 @@ ml_client = MLClient.from_config()
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# Possible Paths for Data:
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# Blob: https://<account_name>.blob.core.windows.net/<container_name>/<folder>/<file>
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- # Datastore: azureml://datastores/paths/<folder>/<file >
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+ # Datastore: azureml://datastores/<data_store_name>/paths/<path >
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# Data Asset: azureml:<my_data>:<version>
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my_job_inputs = {
@@ -290,7 +290,7 @@ $schema: https://azuremlschemas.azureedge.net/latest/CommandJob.schema.json
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# Possible Paths for Data:
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# Blob: https://<account_name>.blob.core.windows.net/<container_name>/<folder>/<file>
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- # Datastore: azureml://datastores/paths/<folder>/<file >
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+ # Datastore: azureml://datastores/<data_store_name>/paths/<path >
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# Data Asset: azureml:<my_data>:<version>
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code : src
@@ -331,7 +331,7 @@ from azure.ai.ml.constants import AssetTypes
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# Possible Paths for Data:
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# Blob: https://<account_name>.blob.core.windows.net/<container_name>/<folder>/<file>
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- # Datastore: azureml://datastores/paths/<folder>/<file >
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+ # Datastore: azureml://datastores/<data_store_name>/paths/<path >
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# Data Asset: azureml:<my_data>:<version>
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my_job_inputs = {
@@ -385,4 +385,4 @@ This example defines a pipeline that contains three nodes, and moves data betwee
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* [ Train models] ( how-to-train-model.md )
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* [ Tutorial: Create production ML pipelines with Python SDK v2] ( tutorial-pipeline-python-sdk.md )
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- * Learn more about [ Data in Azure Machine Learning] ( concept-data.md )
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+ * Learn more about [ Data in Azure Machine Learning] ( concept-data.md )
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