Machinelearningnotebooks: pass specific files as parameter

[shankarpandala]

In this example 'sample_datapath1' refers to the path on the datastore which is a folder. If I have 4 files 1.jpg, 2.jpg, 3.jpg, 4.jpg in the 'sample_datapath1' folder and I want only 1.jpg, 2.jpg only as the dataset, How can I choose?

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• ID: 5c885638-333a-17cf-7c37-2b9b55b7dd30
• Version Independent ID: bf4221f7-f110-008e-26f9-f81a996a9717
• Content: azureml.data.datapath.DataPath class - Azure Machine Learning Python
• Content Source: AzureML-Docset/stable/docs-ref-autogen/azureml-core/azureml.data.datapath.DataPath.yml
• Service: machine-learning
• Sub-service: core
• GitHub Login: @j-martens
• Microsoft Alias: jmartens

[GiftA-MSFT]

@shankarpandala we will review your feedback and get back to you shortly, Thanks.

[MayMSFT]

Hi @shankarpandala
You can

1. create a dataset pointing to the folder
   https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-register-datasets
2. mount the dataset to your compute target and load only the files you want in your script. you can pass in the name of the files as argument in your experiment
   https://docs.microsoft.com/en-us/azure/machine-learning/how-to-train-with-datasets

[shankarpandala]

Hi @shankarpandala
You can

1. create a dataset pointing to the folder
   https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-register-datasets
2. mount the dataset to your compute target and load only the files you want in your script. you can pass in the name of the files as argument in your experiment
   https://docs.microsoft.com/en-us/azure/machine-learning/how-to-train-with-datasets

Thanks! If this is the only way. You can close the issue.