Package ai.extend.types

Class ClassifyMetrics.Builder

java.lang.Object

ai.extend.types.ClassifyMetrics.Builder

Enclosing class:

ClassifyMetrics

public static final class ClassifyMetrics.Builder
extends java.lang.Object

Method Summary

Modifier and Type	Method	Description
ClassifyMetrics.Builder	accuracyPerc(java.lang.Double accuracyPerc)
ClassifyMetrics.Builder	accuracyPerc(java.util.Optional<java.lang.Double> accuracyPerc)	The overall accuracy percentage.
ClassifyMetrics.Builder	accuracyPercByClassification(java.util.Map<java.lang.String,java.lang.Object> accuracyPercByClassification)
ClassifyMetrics.Builder	accuracyPercByClassification(java.util.Optional<java.util.Map<java.lang.String,java.lang.Object>> accuracyPercByClassification)	Mapping from classification to accuracy percentage as calculated from the confusion matrix.
ClassifyMetrics	build()
ClassifyMetrics.Builder	confusionMatrix(java.util.Map<java.lang.String,java.lang.Object> confusionMatrix)
ClassifyMetrics.Builder	confusionMatrix(java.util.Optional<java.util.Map<java.lang.String,java.lang.Object>> confusionMatrix)	Mapping from actual class to predicted class to count.
ClassifyMetrics.Builder	distribution(java.util.Map<java.lang.String,java.lang.Object> distribution)
ClassifyMetrics.Builder	distribution(java.util.Optional<java.util.Map<java.lang.String,java.lang.Object>> distribution)	Record mapping classification values to their counts.
ClassifyMetrics.Builder	from(ClassifyMetrics other)
ClassifyMetrics.Builder	meanConfidence(java.lang.Double meanConfidence)
ClassifyMetrics.Builder	meanConfidence(java.util.Optional<java.lang.Double> meanConfidence)	The mean confidence score.
ClassifyMetrics.Builder	meanRunTimeMs(java.lang.Double meanRunTimeMs)
ClassifyMetrics.Builder	meanRunTimeMs(java.util.Optional<java.lang.Double> meanRunTimeMs)	The mean runtime in milliseconds per document.
ClassifyMetrics.Builder	numFiles(java.lang.Double numFiles)
ClassifyMetrics.Builder	numFiles(java.util.Optional<java.lang.Double> numFiles)	The total number of files that were processed.
ClassifyMetrics.Builder	numPages(java.lang.Double numPages)
ClassifyMetrics.Builder	numPages(java.util.Optional<java.lang.Double> numPages)	The total number of pages that were processed.
ClassifyMetrics.Builder	type(java.lang.String type)
ClassifyMetrics.Builder	type(java.util.Optional<java.lang.String> type)	The type of metrics.

Methods inherited from class java.lang.Object

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

Method Detail

from

public ClassifyMetrics.Builder from(ClassifyMetrics other)

numFiles

public ClassifyMetrics.Builder numFiles(java.util.Optional<java.lang.Double> numFiles)

The total number of files that were processed.

numFiles

public ClassifyMetrics.Builder numFiles(java.lang.Double numFiles)

numPages

public ClassifyMetrics.Builder numPages(java.util.Optional<java.lang.Double> numPages)

The total number of pages that were processed.

numPages

public ClassifyMetrics.Builder numPages(java.lang.Double numPages)

meanRunTimeMs

public ClassifyMetrics.Builder meanRunTimeMs(java.util.Optional<java.lang.Double> meanRunTimeMs)

The mean runtime in milliseconds per document.

meanRunTimeMs

public ClassifyMetrics.Builder meanRunTimeMs(java.lang.Double meanRunTimeMs)

type

public ClassifyMetrics.Builder type(java.util.Optional<java.lang.String> type)

The type of metrics. Will always be "CLASSIFY" for classification processors.

type

public ClassifyMetrics.Builder type(java.lang.String type)

accuracyPerc

public ClassifyMetrics.Builder accuracyPerc(java.util.Optional<java.lang.Double> accuracyPerc)

The overall accuracy percentage.

accuracyPerc

public ClassifyMetrics.Builder accuracyPerc(java.lang.Double accuracyPerc)

meanConfidence

public ClassifyMetrics.Builder meanConfidence(java.util.Optional<java.lang.Double> meanConfidence)

The mean confidence score.

meanConfidence

public ClassifyMetrics.Builder meanConfidence(java.lang.Double meanConfidence)

distribution

public ClassifyMetrics.Builder distribution(java.util.Optional<java.util.Map<java.lang.String,java.lang.Object>> distribution)

Record mapping classification values to their counts.

distribution

public ClassifyMetrics.Builder distribution(java.util.Map<java.lang.String,java.lang.Object> distribution)

accuracyPercByClassification

public ClassifyMetrics.Builder accuracyPercByClassification(java.util.Optional<java.util.Map<java.lang.String,java.lang.Object>> accuracyPercByClassification)

Mapping from classification to accuracy percentage as calculated from the confusion matrix.

accuracyPercByClassification

public ClassifyMetrics.Builder accuracyPercByClassification(java.util.Map<java.lang.String,java.lang.Object> accuracyPercByClassification)

confusionMatrix

public ClassifyMetrics.Builder confusionMatrix(java.util.Optional<java.util.Map<java.lang.String,java.lang.Object>> confusionMatrix)

Mapping from actual class to predicted class to count. Only present when accuracy percentage is present.

confusionMatrix

public ClassifyMetrics.Builder confusionMatrix(java.util.Map<java.lang.String,java.lang.Object> confusionMatrix)

build

public ClassifyMetrics build()