| Package | Description |
|---|---|
| software.amazon.awssdk.services.comprehend.model |
| Modifier and Type | Method and Description |
|---|---|
ClassifierEvaluationMetrics.Builder |
ClassifierEvaluationMetrics.Builder.accuracy(Double accuracy)
The fraction of the labels that were correct recognized.
|
static ClassifierEvaluationMetrics.Builder |
ClassifierEvaluationMetrics.builder() |
ClassifierEvaluationMetrics.Builder |
ClassifierEvaluationMetrics.Builder.f1Score(Double f1Score)
A measure of how accurate the classifier results are for the test data.
|
ClassifierEvaluationMetrics.Builder |
ClassifierEvaluationMetrics.Builder.hammingLoss(Double hammingLoss)
Indicates the fraction of labels that are incorrectly predicted.
|
ClassifierEvaluationMetrics.Builder |
ClassifierEvaluationMetrics.Builder.microF1Score(Double microF1Score)
A measure of how accurate the classifier results are for the test data.
|
ClassifierEvaluationMetrics.Builder |
ClassifierEvaluationMetrics.Builder.microPrecision(Double microPrecision)
A measure of the usefulness of the recognizer results in the test data.
|
ClassifierEvaluationMetrics.Builder |
ClassifierEvaluationMetrics.Builder.microRecall(Double microRecall)
A measure of how complete the classifier results are for the test data.
|
ClassifierEvaluationMetrics.Builder |
ClassifierEvaluationMetrics.Builder.precision(Double precision)
A measure of the usefulness of the classifier results in the test data.
|
ClassifierEvaluationMetrics.Builder |
ClassifierEvaluationMetrics.Builder.recall(Double recall)
A measure of how complete the classifier results are for the test data.
|
ClassifierEvaluationMetrics.Builder |
ClassifierEvaluationMetrics.toBuilder() |
| Modifier and Type | Method and Description |
|---|---|
static Class<? extends ClassifierEvaluationMetrics.Builder> |
ClassifierEvaluationMetrics.serializableBuilderClass() |
| Modifier and Type | Method and Description |
|---|---|
default ClassifierMetadata.Builder |
ClassifierMetadata.Builder.evaluationMetrics(Consumer<ClassifierEvaluationMetrics.Builder> evaluationMetrics)
Describes the result metrics for the test data associated with an documentation classifier.
|
Copyright © 2023. All rights reserved.