Interface MLDataItem

All Known Implementing Classes:
DataSetItem, ExampleImage
public interface MLDataItem
Single data item that will be used to train machine learning model. Implementing classes should provides methods for input and target output for a machine learning model. To create a data set of custom objects implement this interface for corresponding class.
See Also:
  • invalid reference 
    DataSet

  • Method Summary

    Modifier and Type
    Method
    Description
    float
    getError()
    Returns a model output error for this data item.
    TensorBase
    getInput()
    Returns an input for machine learning model of this item.
    TensorBase
    getTargetOutput()
    Returns target output for machine learning model of this item.
    void
    setError(float error)
     

  • Method Details

    • getInput

      TensorBase getInput()
      Returns an input for machine learning model of this item.
      Returns:
      an example input for a machine learning model training.

    • getTargetOutput

      TensorBase getTargetOutput()
      Returns target output for machine learning model of this item.
      Returns:
      target output

    • getError

      float getError()
      Returns a model output error for this data item.
      Returns:

    • setError

      void setError(float error)