Package com.google.cloud.automl.v1

Interface TextSentimentEvaluationMetricsOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

TextSentimentEvaluationMetrics, TextSentimentEvaluationMetrics.Builder

public interface TextSentimentEvaluationMetricsOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method	Description
ClassificationEvaluationMetrics.ConfusionMatrix	getConfusionMatrix()	Output only.
ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder	getConfusionMatrixOrBuilder()	Output only.
float	getF1Score()	Output only.
float	getLinearKappa()	Output only.
float	getMeanAbsoluteError()	Output only.
float	getMeanSquaredError()	Output only.
float	getPrecision()	Output only.
float	getQuadraticKappa()	Output only.
float	getRecall()	Output only.
boolean	hasConfusionMatrix()	Output only.

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Method Detail

getPrecision

float getPrecision()

 Output only. Precision.
 

float precision = 1;

Returns:

The precision.

getRecall

float getRecall()

 Output only. Recall.
 

float recall = 2;

Returns:

The recall.

getF1Score

float getF1Score()

 Output only. The harmonic mean of recall and precision.
 

float f1_score = 3;

Returns:

The f1Score.

getMeanAbsoluteError

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:

The meanAbsoluteError.

getMeanSquaredError

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:

The meanSquaredError.

getLinearKappa

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:

The linearKappa.

getQuadraticKappa

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:

The quadraticKappa.

hasConfusionMatrix

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:

Whether the confusionMatrix field is set.

getConfusionMatrix

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:

The confusionMatrix.

getConfusionMatrixOrBuilder

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;