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Library . Amazon . MachineLearning . CreateDataSourceFromS3

Creates a DataSource object.

  • Input
    • AWSAccessKeyId The Access Key ID provided by Amazon Web Services.
    • AWSSecretKeyId The Secret Key ID provided by Amazon Web Services.
    • DataLocationS3 The location of the data file(s) used by a DataSource. The URI specifies a data file or an Amazon Simple Storage Service (Amazon S3) directory or bucket containing data files.
    • DataSchemaLocationS3 The Amazon S3 location of the DataSchema. This is required unless specifying a valid JSON schema file for DataSchema (see optional inputs).
    • DataSourceId A user-supplied identifier that uniquely identifies the DataSource.
  • Optional Input
  • Output
    • Response The response from Amazon.
    • Simple
    • Enhanced
      Add a sensor via the virtual pin board above to generate code for sensor data graphs.
    • Compiled
      Add a sensor or actuator via the virtual pin board above to generate compiled code for sensor data graphs and remote actuator control.
    Device Configure Changed

    Since you've changed your device configuration, you'll need to tell us about this new device.

    1. Add a sensor or actuator to your device.
    2. Register your board and download your code.

    OK! Let's set up your device

    This feature is in experimental mode - pricing coming soon.

    Use lat/long
    Pro Tip!
    Power consumption will increase if you choose a higher frequency.
    Safeguard data
    what's this?
    If connectivity is lost, up to 2MB of data will be stored locally on your device, and updated when connectivity is restored.

    Commit your generated code
    and collaborate with others.

    Send your code straight to a GitHub repository.

    Collaborating on GitHub?

    Your code will be visible by others in your repos. Keep credentials private by saving a Profile or commit code with Placeholder inputs.

    Choose a GitHub Repository

    Name:

    The following files will be added to this repo:

    * Don't worry! Your credentials and any inputs that aren't saved in a Profile will not be included.

    Success!

    Visit the link below to view, modify, and share code.

    Commit code to GitHub

    Send code to CCS Cloud.

    You'll be able to edit and share your code from TI's CCS Cloud IDE.

    Name your application

    Names can only contain letters, numbers, hyphens, and underscores.

    The following will be sent to CCS Cloud:

    TembooMain.c
    TembooAccount.h
    instructions.txt
    + 9 others

    Success!

    Visit the link below to view, modify, and share code.

    https://dev.ti.com/ide/
    Code 
    • /*
Your auto-generated code will appear here once you've configured your device above.
*/
  • Header File 
    • /* 
A header file containing your Temboo account information will appear here once you've
configured your device above.
*/
  • Notes

    • This Choreo returns a DataSource that includes metadata and data file information, as well as the current status of the DataSource. The documentation for this MachineLearning resource can be found here.

      Note: To create a datasource object from your input data in Amazon S3, you must grant Amazon ML the following permissions to the S3 location where your input data is stored:

      • ListBucket permission on the S3 bucket
      • GetObject permission on the S3 bucket and prefix

      You can read more about updating your S3 bucket permissions policy here.

      Here is an example input set:

      AWSAccessKeyId: {YOUR ACCESS KEY ID}
      AWSSecretKeyId: {YOUR SECRET ACCESS KEY}
      DataSourceId: exampleDataSourceId
      DataSourceName: exampleDataSourceName
      DataLocationS3: s3://eml-test-EXAMPLE/data.csv
      DataSchemaLocationS3: s3://eml-test-EXAMPLE/data.csv.schema
      DataRearrangement: 

      {
  "splitting": {
    "percentBegin": 10,
    "percentEnd": 60
  }
}

      The following is a sample of the JSON information returned by this Choreo:

      {
  "DataSourceId": "exampleDataSourceId"
}
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