Uses of Class
com.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder

Uses of ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder in com.google.cloud.automl.v1

Methods in com.google.cloud.automl.v1 that return ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder

Modifier and Type	Method	Description
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder	ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder.addAllExampleCount(Iterable<? extends Integer> values)	Output only.
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder	ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder.addExampleCount(int value)	Output only.
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder	ClassificationEvaluationMetrics.ConfusionMatrix.Builder.addRowBuilder()	Output only.
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder	ClassificationEvaluationMetrics.ConfusionMatrix.Builder.addRowBuilder(int index)	Output only.
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder	ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder.clear()
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder	ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder.clearExampleCount()	Output only.
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder	ClassificationEvaluationMetrics.ConfusionMatrix.Builder.getRowBuilder(int index)	Output only.
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder	ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder.mergeFrom(ClassificationEvaluationMetrics.ConfusionMatrix.Row other)
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder	ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder	ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder.mergeFrom(com.google.protobuf.Message other)
static ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder	ClassificationEvaluationMetrics.ConfusionMatrix.Row.newBuilder()
static ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder	ClassificationEvaluationMetrics.ConfusionMatrix.Row.newBuilder(ClassificationEvaluationMetrics.ConfusionMatrix.Row prototype)
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder	ClassificationEvaluationMetrics.ConfusionMatrix.Row.newBuilderForType()
protected ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder	ClassificationEvaluationMetrics.ConfusionMatrix.Row.newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent)
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder	ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder.setExampleCount(int index, int value)	Output only.
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder	ClassificationEvaluationMetrics.ConfusionMatrix.Row.toBuilder()

Methods in com.google.cloud.automl.v1 that return types with arguments of type ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder

Modifier and Type	Method	Description
List<ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder>	ClassificationEvaluationMetrics.ConfusionMatrix.Builder.getRowBuilderList()	Output only.

Methods in com.google.cloud.automl.v1 with parameters of type ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder

Modifier and Type	Method	Description
ClassificationEvaluationMetrics.ConfusionMatrix.Builder	ClassificationEvaluationMetrics.ConfusionMatrix.Builder.addRow(int index, ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder builderForValue)	Output only.
ClassificationEvaluationMetrics.ConfusionMatrix.Builder	ClassificationEvaluationMetrics.ConfusionMatrix.Builder.addRow(ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder builderForValue)	Output only.
ClassificationEvaluationMetrics.ConfusionMatrix.Builder	ClassificationEvaluationMetrics.ConfusionMatrix.Builder.setRow(int index, ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder builderForValue)	Output only.