Class AccuracyBinary
java.lang.Object
dk.alexandra.fresco.stat.mlp.evaluation.AccuracyBinary
- All Implemented Interfaces:
dk.alexandra.fresco.framework.builder.Computation<dk.alexandra.fresco.framework.value.SInt,dk.alexandra.fresco.framework.builder.numeric.ProtocolBuilderNumeric>
public class AccuracyBinary extends Object implements dk.alexandra.fresco.framework.builder.Computation<dk.alexandra.fresco.framework.value.SInt,dk.alexandra.fresco.framework.builder.numeric.ProtocolBuilderNumeric>
Return the number of correct predictions in the given data set. It's assumed that there's only
two different labels, 0 and 1. If there are more possibilities, use
Accuracy instead.-
Constructor Summary
Constructors Constructor Description AccuracyBinary(MLP neuralNetwork, List<ArrayList<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.lib.fixed.SFixed>>> data, ArrayList<dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>> labels) -
Method Summary
Modifier and Type Method Description dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt>buildComputation(dk.alexandra.fresco.framework.builder.numeric.ProtocolBuilderNumeric builder)
-
Constructor Details
-
Method Details
-
buildComputation
public dk.alexandra.fresco.framework.DRes<dk.alexandra.fresco.framework.value.SInt> buildComputation(dk.alexandra.fresco.framework.builder.numeric.ProtocolBuilderNumeric builder)- Specified by:
buildComputationin interfacedk.alexandra.fresco.framework.builder.Computation<dk.alexandra.fresco.framework.value.SInt,dk.alexandra.fresco.framework.builder.numeric.ProtocolBuilderNumeric>
-