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Import data into Machine Learning Studio from a local file | Microsoft Docs
How to import your training data Azure Machine Learning Studio from a local file.
import data,data format,data types,data sources,training data
machine-learning
garyericson
jhubbard
cgronlun
c0dd9e90-23c4-4f64-8b8f-489ad79f047b
machine-learning
data-services
na
na
article
12/14/2016
garye;bradsev

Import your training data into Azure Machine Learning Studio from a local file

[!INCLUDE import-data-into-aml-studio-selector]

To use your own data in Machine Learning Studio, you can upload a data file ahead of time from your local hard drive to create a dataset module in your workspace.

Import data from a local file

You can import data from a local hard drive by doing the following:

  1. Click +NEW at the bottom of the Machine Learning Studio window.
  2. Select DATASET and FROM LOCAL FILE.
  3. In the Upload a new dataset dialog, browse to the file you want to upload
  4. Enter a name, identify the data type, and optionally enter a description. A description is recommended - it allows you to record any characteristics about the data that you want to remember when using the data in the future.
  5. The checkbox This is the new version of an existing dataset allows you to update an existing dataset with new data. Click this checkbox and then enter the name of an existing dataset.

During upload, you'll see a message that your file is being uploaded. Upload time depends on the size of your data and the speed of your connection to the service. If you know the file will take a long time, you can do other things inside Machine Learning Studio while you wait. However, closing the browser causes the data upload to fail.

Once your data is uploaded, it's stored in a dataset module and is available to any experiment in your workspace. When you're editing an experiment, you can find the datasets you've created in the My Datasets list under the Saved Datasets list in the module palette. You can drag and drop the dataset onto the experiment canvas when you want to use the dataset for further analytics and machine learning.