- 2.51.0 (latest)
- 2.49.0
- 2.48.0
- 2.47.0
- 2.46.0
- 2.45.0
- 2.44.0
- 2.43.0
- 2.42.0
- 2.41.0
- 2.40.0
- 2.39.0
- 2.37.0
- 2.36.0
- 2.35.0
- 2.34.0
- 2.33.0
- 2.32.0
- 2.31.0
- 2.30.0
- 2.29.0
- 2.28.0
- 2.27.0
- 2.24.0
- 2.23.0
- 2.22.0
- 2.21.0
- 2.20.0
- 2.19.0
- 2.18.0
- 2.17.0
- 2.16.0
- 2.15.0
- 2.14.0
- 2.13.0
- 2.12.0
- 2.11.0
- 2.10.0
- 2.9.0
- 2.8.0
- 2.7.0
- 2.6.0
- 2.5.0
- 2.4.0
- 2.3.18
- 2.2.3
- 2.1.23
public interface TextSentimentEvaluationMetricsOrBuilder extends MessageOrBuilderImplements
MessageOrBuilderMethods
getConfusionMatrix()
public abstract ClassificationEvaluationMetrics.ConfusionMatrix getConfusionMatrix()Output only. Confusion matrix of the evaluation. Only set for the overall model evaluation, not for evaluation of a single annotation spec.
.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;
| Returns | |
|---|---|
| Type | Description |
ClassificationEvaluationMetrics.ConfusionMatrix |
The confusionMatrix. |
getConfusionMatrixOrBuilder()
public abstract ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder getConfusionMatrixOrBuilder()Output only. Confusion matrix of the evaluation. Only set for the overall model evaluation, not for evaluation of a single annotation spec.
.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;
| Returns | |
|---|---|
| Type | Description |
ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder |
|
getF1Score()
public abstract float getF1Score()Output only. The harmonic mean of recall and precision.
float f1_score = 3;
| Returns | |
|---|---|
| Type | Description |
float |
The f1Score. |
getLinearKappa()
public abstract float getLinearKappa()Output only. Linear weighted kappa. Only set for the overall model evaluation, not for evaluation of a single annotation spec.
float linear_kappa = 6;
| Returns | |
|---|---|
| Type | Description |
float |
The linearKappa. |
getMeanAbsoluteError()
public abstract float getMeanAbsoluteError()Output only. Mean absolute error. Only set for the overall model evaluation, not for evaluation of a single annotation spec.
float mean_absolute_error = 4;
| Returns | |
|---|---|
| Type | Description |
float |
The meanAbsoluteError. |
getMeanSquaredError()
public abstract float getMeanSquaredError()Output only. Mean squared error. Only set for the overall model evaluation, not for evaluation of a single annotation spec.
float mean_squared_error = 5;
| Returns | |
|---|---|
| Type | Description |
float |
The meanSquaredError. |
getPrecision()
public abstract float getPrecision()Output only. Precision.
float precision = 1;
| Returns | |
|---|---|
| Type | Description |
float |
The precision. |
getQuadraticKappa()
public abstract float getQuadraticKappa()Output only. Quadratic weighted kappa. Only set for the overall model evaluation, not for evaluation of a single annotation spec.
float quadratic_kappa = 7;
| Returns | |
|---|---|
| Type | Description |
float |
The quadraticKappa. |
getRecall()
public abstract float getRecall()Output only. Recall.
float recall = 2;
| Returns | |
|---|---|
| Type | Description |
float |
The recall. |
hasConfusionMatrix()
public abstract boolean hasConfusionMatrix()Output only. Confusion matrix of the evaluation. Only set for the overall model evaluation, not for evaluation of a single annotation spec.
.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the confusionMatrix field is set. |