Interface OCIOutputConverter<T extends Output<T>>

Type Parameters:

T - The output type.

All Superinterfaces:

com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance>, Serializable

All Known Implementing Classes:

OCILabelConverter, OCIMultiLabelConverter, OCIRegressorConverter

public interface OCIOutputConverter<T extends Output<T>>
extends com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance>, Serializable

Converter for a DenseMatrix received from OCI Data Science Model Deployment.

Method Summary

Modifier and Type	Method	Description
List<Prediction<T>>	convertOutput(DenseMatrix scores, int[] numValidFeatures, List<Example<T>> examples, ImmutableOutputInfo<T> outputIDInfo)	Converts a dense matrix into a list of predictions of the appropriate type.
Prediction<T>	convertOutput(DenseVector scores, int numValidFeature, Example<T> example, ImmutableOutputInfo<T> outputIDInfo)	Converts a dense vector into a single prediction of the appropriate type.
boolean	generatesProbabilities()	Does this OCIOutputConverter generate probabilities?

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

postConfig

Methods inherited from interface com.oracle.labs.mlrg.olcut.provenance.Provenancable

getProvenance

Method Details

convertOutput

Prediction<T> convertOutput(DenseVector scores,
 int numValidFeature,
 Example<T> example,
 ImmutableOutputInfo<T> outputIDInfo)

Converts a dense vector into a single prediction of the appropriate type.

Parameters:

scores - The score vector.

numValidFeature - The number of valid features (stored in the prediction).

example - The example (stored in the prediction).

outputIDInfo - The output information.

Returns:

A prediction representing the value of this score vector.

convertOutput

List<Prediction<T>> convertOutput(DenseMatrix scores,
 int[] numValidFeatures,
 List<Example<T>> examples,
 ImmutableOutputInfo<T> outputIDInfo)

Converts a dense matrix into a list of predictions of the appropriate type.

Parameters:

scores - The score matrix.

numValidFeatures - The number of valid features in each example (stored in the prediction).

examples - The examples (stored in the prediction).

outputIDInfo - The output information.

Returns:

A list of predictions representing the value of this score matrix.

generatesProbabilities

boolean generatesProbabilities()

Does this OCIOutputConverter generate probabilities?

Returns:

True if it produces a probability distribution in the Prediction.