Package com.google.cloud.automl.v1

Class TextSentimentEvaluationMetrics.Builder

    • Method Detail

      • getDescriptor

        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

      • internalGetFieldAccessorTable

        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
        Specified by:
        internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<TextSentimentEvaluationMetrics.Builder>

      • getDescriptorForType

        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
        Specified by:
        getDescriptorForType in interface com.google.protobuf.Message.Builder
        Specified by:
        getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
        Overrides:
        getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<TextSentimentEvaluationMetrics.Builder>

      • getDefaultInstanceForType

        public TextSentimentEvaluationMetrics getDefaultInstanceForType()
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

      • build

        public TextSentimentEvaluationMetrics build()
        Specified by:
        build in interface com.google.protobuf.Message.Builder
        Specified by:
        build in interface com.google.protobuf.MessageLite.Builder

      • buildPartial

        public TextSentimentEvaluationMetrics buildPartial()
        Specified by:
        buildPartial in interface com.google.protobuf.Message.Builder
        Specified by:
        buildPartial in interface com.google.protobuf.MessageLite.Builder

      • isInitialized

        public final boolean isInitialized()
        Specified by:
        isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
        Overrides:
        isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<TextSentimentEvaluationMetrics.Builder>

      • setPrecision

        public TextSentimentEvaluationMetrics.Builder setPrecision​(float value)
         Output only. Precision.
        float precision = 1;
        Parameters:
        value - The precision to set.
        Returns:
        This builder for chaining.

      • setRecall

        public TextSentimentEvaluationMetrics.Builder setRecall​(float value)
         Output only. Recall.
        float recall = 2;
        Parameters:
        value - The recall to set.
        Returns:
        This builder for chaining.

      • setF1Score

        public TextSentimentEvaluationMetrics.Builder setF1Score​(float value)
         Output only. The harmonic mean of recall and precision.
        float f1_score = 3;
        Parameters:
        value - The f1Score to set.
        Returns:
        This builder for chaining.

      • getMeanAbsoluteError

        public 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;
        Specified by:
        getMeanAbsoluteError in interface TextSentimentEvaluationMetricsOrBuilder
        Returns:
        The meanAbsoluteError.

      • setMeanAbsoluteError

        public TextSentimentEvaluationMetrics.Builder setMeanAbsoluteError​(float value)
         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;
        Parameters:
        value - The meanAbsoluteError to set.
        Returns:
        This builder for chaining.

      • clearMeanAbsoluteError

        public TextSentimentEvaluationMetrics.Builder clearMeanAbsoluteError()
         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:
        This builder for chaining.

      • getMeanSquaredError

        public 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;
        Specified by:
        getMeanSquaredError in interface TextSentimentEvaluationMetricsOrBuilder
        Returns:
        The meanSquaredError.

      • setMeanSquaredError

        public TextSentimentEvaluationMetrics.Builder setMeanSquaredError​(float value)
         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;
        Parameters:
        value - The meanSquaredError to set.
        Returns:
        This builder for chaining.

      • clearMeanSquaredError

        public TextSentimentEvaluationMetrics.Builder clearMeanSquaredError()
         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:
        This builder for chaining.

      • getLinearKappa

        public 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;
        Specified by:
        getLinearKappa in interface TextSentimentEvaluationMetricsOrBuilder
        Returns:
        The linearKappa.

      • setLinearKappa

        public TextSentimentEvaluationMetrics.Builder setLinearKappa​(float value)
         Output only. Linear weighted kappa. Only set for the overall model
 evaluation, not for evaluation of a single annotation spec.
        float linear_kappa = 6;
        Parameters:
        value - The linearKappa to set.
        Returns:
        This builder for chaining.

      • clearLinearKappa

        public TextSentimentEvaluationMetrics.Builder clearLinearKappa()
         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:
        This builder for chaining.

      • getQuadraticKappa

        public 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;
        Specified by:
        getQuadraticKappa in interface TextSentimentEvaluationMetricsOrBuilder
        Returns:
        The quadraticKappa.

      • setQuadraticKappa

        public TextSentimentEvaluationMetrics.Builder setQuadraticKappa​(float value)
         Output only. Quadratic weighted kappa. Only set for the overall model
 evaluation, not for evaluation of a single annotation spec.
        float quadratic_kappa = 7;
        Parameters:
        value - The quadraticKappa to set.
        Returns:
        This builder for chaining.

      • clearQuadraticKappa

        public TextSentimentEvaluationMetrics.Builder clearQuadraticKappa()
         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:
        This builder for chaining.

      • hasConfusionMatrix

        public 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;
        Specified by:
        hasConfusionMatrix in interface TextSentimentEvaluationMetricsOrBuilder
        Returns:
        Whether the confusionMatrix field is set.

      • clearConfusionMatrix

        public TextSentimentEvaluationMetrics.Builder clearConfusionMatrix()
         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;

      • getConfusionMatrixBuilder

        public ClassificationEvaluationMetrics.ConfusionMatrix.Builder getConfusionMatrixBuilder()
         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;