DSS internal APIs

This page lists reference for some API exposed by DSS

• The internal Python API
  • Interacting with datasets
    • Basic usage
    • Typing of dataframes
    • Chunked reading and writing with Pandas
    • Encoding
    • Sampling
      • head
      • random
      • random-column
      • Examples
    • Getting a dataset as raw bytes
    • API reference: The Dataset class
  • Performing SQL, Hive and Impala queries
    • Retrieving results
    • API doc
  • Executing partial recipes
    • API doc
  • Interacting with Pyspark
  • Managed folders in Python API
  • Interacting with saved models
  • Interacting with metrics
  • API for custom recipes
  • API for custom datasets
  • API for custom formats
  • API for custom FS providers
  • Custom scenarios API
  • Creating static insights
• The Javascript API
  • Fetching dataset data
  • The DataFrame object
  • Sampling
    • sampling = ‘head’
    • sampling = ‘random’
    • sampling = ‘full’
    • sampling = ‘random-column’
  • Partitions selection
  • Columns selection
  • Rows filtering
• The R API
  • Reference documentation
    • Creating static insights
• The Scala API
  • Reference documentation
  • Example usage