Definition data type

Unofficial Content
This documentation is valid for:

Represents the complete definition of a model in the context of GeneXus Artificial Intelligence for custom models.

Members

  • Name: VarChar(64) 
  • Dataset (structure)
    • Loader: ObjectName, GeneXus
    • Option (Structure)
      • Batch: Numeric(4.0) -- Describes how many elements will be processed time by time.
      • Size: (structure) -- Proportion reservation.
        • Training: Numeric(5.3)
        • Testing: Numeric(5.3)
      • Seed: Numeric(4.0) -- Useful when you want to repeat an experiment (same random splitting).
  • Input (structure)
  • Output (structure)

Notes

  • Dataset.Loader field must be set with the fully-qualified name of your dataset 'generator' object (Procedure or Data Provider).
  • Features' field count in the Input field must be equal to every Data.Input Features' field? count of your data-set.
  • Features' field in Definition.Input and Data.Input? must be correlative in order to describe the name and type of every feature of your data item (i.e. the k-th element of Data.Input.Feature should have the Type of the k-th element of Definition.Input.Feature).
  • If Data.Input.Features field has more items than Definition.Input.Features field, remain items in Data.Input.Features will be ignored.
  • If Data.Input.Features field has fewer items than Definition.Input.Features, means you have undefined Data.Input.Features and will produce an error.

Scope

AI Task Train procedure
Platforms  Web(.NET,.NETCore,Java), SmartDevices(Android,iOS)

Availability

This data type is available as of GeneXus 16 upgrade 6.