Class LabelOneVOneTransformer

java.lang.Object

org.tribuo.interop.onnx.LabelTransformer

org.tribuo.interop.onnx.LabelOneVOneTransformer

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, OutputTransformer<Label>, ProtoSerializable<org.tribuo.interop.onnx.protos.OutputTransformerProto>

public final class LabelOneVOneTransformer
extends LabelTransformer

Can convert an OnnxValue into a Prediction or a Label.

Accepts:

• a tuple (tensor, float tensor) - as produced by the bare ONNX ML operations (e.g., SVMClassifier).
• a single float tensor.

It attempts to parse the output as if it's a vector of predictions from one-v-one classifiers for each class pair. This is the kind of output produced by the ONNX SVMClassifier node, but the ONNX spec is not clear about how this output should be parsed, and ONNX Runtime produces a two element output for binary problems when a strict one-v-one classifier only produces a single output. As a result, this class may need to be updated as ONNX Runtime or the ONNX spec itself evolve.

Operates on either a list containing a single tensor [batch_size,(numOutputs*(numOutputs-1))/2], or a list containing two tensors where the second one contains the one-v-one predictions as before.

See Also:

• Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
static final int	CURRENT_VERSION	Protobuf serialization version.

Fields inherited from class org.tribuo.interop.onnx.LabelTransformer

generatesProbabilities

Fields inherited from interface org.tribuo.protos.ProtoSerializable

DESERIALIZATION_METHOD_NAME, PROVENANCE_SERIALIZER

Constructor Summary

Constructors

Constructor	Description
LabelOneVOneTransformer()	Constructs a Label transformer that operates on a one v one output and produces scores via voting.

Method Summary

Modifier and Type	Method	Description
static LabelOneVOneTransformer	deserializeFromProto(int version, String className, com.google.protobuf.Any message)	Deserialization factory.
protected float[][]	getBatchPredictions(List<ai.onnxruntime.OnnxValue> inputs, ImmutableOutputInfo<Label> outputIDInfo)	Rationalises the output of an onnx model into a standard format suitable for downstream work in Tribuo.
void	postConfig()
String	toString()

Methods inherited from class org.tribuo.interop.onnx.LabelTransformer

equals, generatesProbabilities, getProvenance, getTypeWitness, hashCode, serialize, transformToBatchOutput, transformToBatchPrediction, transformToOutput, transformToPrediction

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Field Details

CURRENT_VERSION

public static final int CURRENT_VERSION

Protobuf serialization version.

See Also:

• Constant Field Values

Constructor Details

LabelOneVOneTransformer

public LabelOneVOneTransformer()

Constructs a Label transformer that operates on a one v one output and produces scores via voting.

Method Details

postConfig

public void postConfig()

deserializeFromProto

public static LabelOneVOneTransformer deserializeFromProto(int version,
 String className,
 com.google.protobuf.Any message)

Deserialization factory.

Parameters:

version - The serialized object version.

className - The class name.

message - The serialized data.

Returns:

The deserialized object.

getBatchPredictions

protected float[][] getBatchPredictions(List<ai.onnxruntime.OnnxValue> inputs,
 ImmutableOutputInfo<Label> outputIDInfo)

Rationalises the output of an onnx model into a standard format suitable for downstream work in Tribuo.

It unfolds one-v-one predictions into a score vector using voting. This is used if the model directly outputs the ONNX SVMClassifier node, as skl2onnx unpacks it for you.

Operates on either a list containing a single tensor [batch_size,(numOutputs*(numOutputs-1))/2], or a list containing two tensors where the second one contains the one-v-one predictions as before.

Overrides:

getBatchPredictions in class LabelTransformer

Parameters:

inputs - The onnx model output.

outputIDInfo - The output id mapping.

Returns:

A 2d array of outputs, the first dimension is batch size, the second dimension is the output space.

toString

public String toString()

Overrides:

toString in class LabelTransformer