Class DenseTransformer

java.lang.Object
org.tribuo.interop.onnx.DenseTransformer
All Implemented Interfaces:
com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance>, Serializable, ExampleTransformer
public class DenseTransformer extends Object implements ExampleTransformer
Converts a sparse Tribuo example into a dense float vector, then wraps it in an OnnxTensor.
See Also:

  • Field Summary

    Fields
    Modifier and Type
    Field
    Description
    static final int
    THRESHOLD
    Feature size beyond which a warning is generated (as ONNX requires dense features and large feature spaces are memory hungry).
    static final int
    WARNING_THRESHOLD
    Number of times the feature size warning should be printed.

  • Constructor Summary

    Constructors
    Constructor
    Description
    DenseTransformer()
     

  • Method Summary

    Modifier and Type
    Method
    Description
    com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance
    getProvenance()
     
    String
    toString()
     
    ai.onnxruntime.OnnxTensor
    transform(ai.onnxruntime.OrtEnvironment env, List<SparseVector> vectors)
    Converts a list of SparseVectors representing a batch of features into a OnnxTensor.
    ai.onnxruntime.OnnxTensor
    transform(ai.onnxruntime.OrtEnvironment env, SparseVector vector)
    Converts a SparseVector representing the features into a OnnxTensor.

    Methods inherited from class java.lang.Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

    Methods inherited from interface com.oracle.labs.mlrg.olcut.config.Configurable

    postConfig

  • Field Details

    • THRESHOLD

      public static final int THRESHOLD
      Feature size beyond which a warning is generated (as ONNX requires dense features and large feature spaces are memory hungry).
      See Also:

    • WARNING_THRESHOLD

      public static final int WARNING_THRESHOLD
      Number of times the feature size warning should be printed.
      See Also:

  • Constructor Details

    • DenseTransformer

      public DenseTransformer()

  • Method Details

    • transform

      public ai.onnxruntime.OnnxTensor transform(ai.onnxruntime.OrtEnvironment env, SparseVector vector) throws ai.onnxruntime.OrtException
      Description copied from interface: ExampleTransformer
      Converts a SparseVector representing the features into a OnnxTensor.

      It generates it as a single example minibatch.

      Specified by:
      transform in interface ExampleTransformer
      Parameters:
      env - The OrtEnvironment to create the tensor in.
      vector - The features to convert.
      Returns:
      A dense OnnxTensor representing this vector.
      Throws:
      ai.onnxruntime.OrtException - if the transformation failed.

    • transform

      public ai.onnxruntime.OnnxTensor transform(ai.onnxruntime.OrtEnvironment env, List<SparseVector> vectors) throws ai.onnxruntime.OrtException
      Description copied from interface: ExampleTransformer
      Converts a list of SparseVectors representing a batch of features into a OnnxTensor.
      Specified by:
      transform in interface ExampleTransformer
      Parameters:
      env - The OrtEnvironment to create the tensor in.
      vectors - The batch of features to convert.
      Returns:
      A dense OnnxTensor representing this minibatch.
      Throws:
      ai.onnxruntime.OrtException - if the transformation failed.

    • toString

      public String toString()
      Overrides:
      toString in class Object

    • getProvenance

      public com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance getProvenance()
      Specified by:
      getProvenance in interface com.oracle.labs.mlrg.olcut.provenance.Provenancable<com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance>