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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. |