Package ai.extend.types

Class SplitterMetrics.Builder

java.lang.Object

ai.extend.types.SplitterMetrics.Builder

Enclosing class:

SplitterMetrics

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

Method Summary

Modifier and Type	Method	Description
SplitterMetrics	build()
SplitterMetrics.Builder	from(SplitterMetrics other)
SplitterMetrics.Builder	meanRunTimeMs(java.lang.Double meanRunTimeMs)
SplitterMetrics.Builder	meanRunTimeMs(java.util.Optional<java.lang.Double> meanRunTimeMs)	The mean runtime in milliseconds per document.
SplitterMetrics.Builder	numCorrectDocs(java.lang.Double numCorrectDocs)
SplitterMetrics.Builder	numCorrectDocs(java.util.Optional<java.lang.Double> numCorrectDocs)	The number of correctly predicted documents.
SplitterMetrics.Builder	numExpectedDocs(java.lang.Double numExpectedDocs)
SplitterMetrics.Builder	numExpectedDocs(java.util.Optional<java.lang.Double> numExpectedDocs)	The number of expected documents.
SplitterMetrics.Builder	numFiles(java.lang.Double numFiles)
SplitterMetrics.Builder	numFiles(java.util.Optional<java.lang.Double> numFiles)	The total number of files that were processed.
SplitterMetrics.Builder	numPages(java.lang.Double numPages)
SplitterMetrics.Builder	numPages(java.util.Optional<java.lang.Double> numPages)	The total number of pages that were processed.
SplitterMetrics.Builder	numPredictedDocs(java.lang.Double numPredictedDocs)
SplitterMetrics.Builder	numPredictedDocs(java.util.Optional<java.lang.Double> numPredictedDocs)	The number of predicted documents.
SplitterMetrics.Builder	precisionPerc(java.lang.Double precisionPerc)
SplitterMetrics.Builder	precisionPerc(java.util.Optional<java.lang.Double> precisionPerc)	Number of predicted subdocuments that are in the expected set of subdocuments divided by total number of predicted subdocuments.
SplitterMetrics.Builder	recallPerc(java.lang.Double recallPerc)
SplitterMetrics.Builder	recallPerc(java.util.Optional<java.lang.Double> recallPerc)	Number of expected subdocuments that are in the predicted set of subdocuments divided by total number of expected subdocuments.
SplitterMetrics.Builder	type(java.lang.String type)
SplitterMetrics.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 SplitterMetrics.Builder from(SplitterMetrics other)

numFiles

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

The total number of files that were processed.

numFiles

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

numPages

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

The total number of pages that were processed.

numPages

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

meanRunTimeMs

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

The mean runtime in milliseconds per document.

meanRunTimeMs

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

type

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

The type of metrics. Will always be "SPLITTER" for splitter processors.

type

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

precisionPerc

public SplitterMetrics.Builder precisionPerc(java.util.Optional<java.lang.Double> precisionPerc)

Number of predicted subdocuments that are in the expected set of subdocuments divided by total number of predicted subdocuments.

precisionPerc

public SplitterMetrics.Builder precisionPerc(java.lang.Double precisionPerc)

recallPerc

public SplitterMetrics.Builder recallPerc(java.util.Optional<java.lang.Double> recallPerc)

Number of expected subdocuments that are in the predicted set of subdocuments divided by total number of expected subdocuments.

recallPerc

public SplitterMetrics.Builder recallPerc(java.lang.Double recallPerc)

numExpectedDocs

public SplitterMetrics.Builder numExpectedDocs(java.util.Optional<java.lang.Double> numExpectedDocs)

The number of expected documents.

numExpectedDocs

public SplitterMetrics.Builder numExpectedDocs(java.lang.Double numExpectedDocs)

numPredictedDocs

public SplitterMetrics.Builder numPredictedDocs(java.util.Optional<java.lang.Double> numPredictedDocs)

The number of predicted documents.

numPredictedDocs

public SplitterMetrics.Builder numPredictedDocs(java.lang.Double numPredictedDocs)

numCorrectDocs

public SplitterMetrics.Builder numCorrectDocs(java.util.Optional<java.lang.Double> numCorrectDocs)

The number of correctly predicted documents.

numCorrectDocs

public SplitterMetrics.Builder numCorrectDocs(java.lang.Double numCorrectDocs)

build

public SplitterMetrics build()