public interface TextSentimentEvaluationMetricsOrBuilder extends MessageOrBuilder
Implements
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. |