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Version: v1.3.0

Dataset connectors

Overview​

H2O Hydrogen Torch provides a number of data connectors to access external data sources.

Supported dataset connectors​

Note
  • Each data connector requires either a single .csv file or the data to be in a .zip file for a successful import.
  • The format of a dataset differs for different problem types. For more information, see Dataset formats.
  • Before a successful dataset import, you need to specify a set of dataset settings before the dataset can be used for a given experiment. The required dataset settings differ upon the structure and content of the dataset. For more information, see Import dataset settings.
  • For the S3 and Kaggle connector, you can save your AWS and Kaggle credentials in your H2O Hydrogen Torch instance to avoid the reenter of often used credentials. For more information, see App settings.

Upload (Standard upload feature)​

The following parameter is required:

  • File location

AWS S3 (Amazon AWS S3)​

The following parameters are required:

  • S3 bucket name
  • AWS access key
  • AWS secret key
  • File name

Azure Data Lake (Microsoft Azure Data Lake Gen2)​

The following parameters are required:

  • Data lake connection string
  • Data lake container name
  • File name

Kaggle (Kaggle datasets )​

The following parameters are required:

  • Kaggle API command
  • Kaggle username
  • Kaggle secret key

H2O Drive (H2O.ai's data storage)​

The following parameters are required:

  • File name
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