Class OCIRegressorConverter

java.lang.Object

org.tribuo.interop.oci.OCIRegressorConverter

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, OCIOutputConverter<Regressor>

public final class OCIRegressorConverter
extends Object
implements OCIOutputConverter<Regressor>

A converter for DenseMatrix and DenseVector into Regressor Predictions.

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
OCIRegressorConverter()	Constructs an OCIRegressorConverter.

Method Summary

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

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

Constructor Details

OCIRegressorConverter

public OCIRegressorConverter()

Constructs an OCIRegressorConverter.

Method Details

convertOutput

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

Description copied from interface: OCIOutputConverter

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

Specified by:

convertOutput in interface OCIOutputConverter<Regressor>

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

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

Description copied from interface: OCIOutputConverter

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

Specified by:

convertOutput in interface OCIOutputConverter<Regressor>

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

public boolean generatesProbabilities()

Description copied from interface: OCIOutputConverter

Does this OCIOutputConverter generate probabilities?

Specified by:

generatesProbabilities in interface OCIOutputConverter<Regressor>

Returns:

True if it produces a probability distribution in the Prediction.

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>