Package ai.extend.types
Class ClassifyMetrics
- java.lang.Object
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- ai.extend.types.ClassifyMetrics
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- All Implemented Interfaces:
IBaseMetrics
public final class ClassifyMetrics extends java.lang.Object implements IBaseMetrics
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Nested Class Summary
Nested Classes Modifier and Type Class Description static classClassifyMetrics.Builder
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static ClassifyMetrics.Builderbuilder()booleanequals(java.lang.Object other)java.util.Optional<java.lang.Double>getAccuracyPerc()java.util.Optional<java.util.Map<java.lang.String,java.lang.Object>>getAccuracyPercByClassification()java.util.Map<java.lang.String,java.lang.Object>getAdditionalProperties()java.util.Optional<java.util.Map<java.lang.String,java.lang.Object>>getConfusionMatrix()java.util.Optional<java.util.Map<java.lang.String,java.lang.Object>>getDistribution()java.util.Optional<java.lang.Double>getMeanConfidence()java.util.Optional<java.lang.Double>getMeanRunTimeMs()java.util.Optional<java.lang.Double>getNumFiles()java.util.Optional<java.lang.Double>getNumPages()java.util.Optional<java.lang.String>getType()inthashCode()java.lang.StringtoString()
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Method Detail
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getNumFiles
public java.util.Optional<java.lang.Double> getNumFiles()
- Specified by:
getNumFilesin interfaceIBaseMetrics- Returns:
- The total number of files that were processed.
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getNumPages
public java.util.Optional<java.lang.Double> getNumPages()
- Specified by:
getNumPagesin interfaceIBaseMetrics- Returns:
- The total number of pages that were processed.
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getMeanRunTimeMs
public java.util.Optional<java.lang.Double> getMeanRunTimeMs()
- Specified by:
getMeanRunTimeMsin interfaceIBaseMetrics- Returns:
- The mean runtime in milliseconds per document.
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getType
public java.util.Optional<java.lang.String> getType()
- Returns:
- The type of metrics. Will always be
"CLASSIFY"for classification processors.
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getAccuracyPerc
public java.util.Optional<java.lang.Double> getAccuracyPerc()
- Returns:
- The overall accuracy percentage.
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getMeanConfidence
public java.util.Optional<java.lang.Double> getMeanConfidence()
- Returns:
- The mean confidence score.
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getDistribution
public java.util.Optional<java.util.Map<java.lang.String,java.lang.Object>> getDistribution()
- Returns:
- Record mapping classification values to their counts.
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getAccuracyPercByClassification
public java.util.Optional<java.util.Map<java.lang.String,java.lang.Object>> getAccuracyPercByClassification()
- Returns:
- Mapping from classification to accuracy percentage as calculated from the confusion matrix.
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getConfusionMatrix
public java.util.Optional<java.util.Map<java.lang.String,java.lang.Object>> getConfusionMatrix()
- Returns:
- Mapping from actual class to predicted class to count. Only present when accuracy percentage is present.
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equals
public boolean equals(java.lang.Object other)
- Overrides:
equalsin classjava.lang.Object
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getAdditionalProperties
public java.util.Map<java.lang.String,java.lang.Object> getAdditionalProperties()
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hashCode
public int hashCode()
- Overrides:
hashCodein classjava.lang.Object
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toString
public java.lang.String toString()
- Overrides:
toStringin classjava.lang.Object
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builder
public static ClassifyMetrics.Builder builder()
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