/*
 * Copyright 2020 Google LLC
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     https://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: google/cloud/automl/v1beta1/text_sentiment.proto

package com.google.cloud.automl.v1beta1;

public final class TextSentimentProto {
  private TextSentimentProto() {}

  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistryLite registry) {}

  public static void registerAllExtensions(com.google.protobuf.ExtensionRegistry registry) {
    registerAllExtensions((com.google.protobuf.ExtensionRegistryLite) registry);
  }

  public interface TextSentimentAnnotationOrBuilder
      extends
      // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextSentimentAnnotation)
      com.google.protobuf.MessageOrBuilder {

    /**
     *
     *
     * <pre>
     * Output only. The sentiment with the semantic, as given to the
     * [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData] when populating the dataset from which the model used
     * for the prediction had been trained.
     * The sentiment values are between 0 and
     * Dataset.text_sentiment_dataset_metadata.sentiment_max (inclusive),
     * with higher value meaning more positive sentiment. They are completely
     * relative, i.e. 0 means least positive sentiment and sentiment_max means
     * the most positive from the sentiments present in the train data. Therefore
     *  e.g. if train data had only negative sentiment, then sentiment_max, would
     * be still negative (although least negative).
     * The sentiment shouldn't be confused with "score" or "magnitude"
     * from the previous Natural Language Sentiment Analysis API.
     * </pre>
     *
     * <code>int32 sentiment = 1;</code>
     *
     * @return The sentiment.
     */
    int getSentiment();
  }
  /**
   *
   *
   * <pre>
   * Contains annotation details specific to text sentiment.
   * </pre>
   *
   * Protobuf type {@code google.cloud.automl.v1beta1.TextSentimentAnnotation}
   */
  public static final class TextSentimentAnnotation extends com.google.protobuf.GeneratedMessageV3
      implements
      // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TextSentimentAnnotation)
      TextSentimentAnnotationOrBuilder {
    private static final long serialVersionUID = 0L;
    // Use TextSentimentAnnotation.newBuilder() to construct.
    private TextSentimentAnnotation(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
      super(builder);
    }

    private TextSentimentAnnotation() {}

    @java.lang.Override
    @SuppressWarnings({"unused"})
    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
      return new TextSentimentAnnotation();
    }

    @java.lang.Override
    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
      return this.unknownFields;
    }

    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      return com.google.cloud.automl.v1beta1.TextSentimentProto
          .internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_descriptor;
    }

    @java.lang.Override
    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
        internalGetFieldAccessorTable() {
      return com.google.cloud.automl.v1beta1.TextSentimentProto
          .internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_fieldAccessorTable
          .ensureFieldAccessorsInitialized(
              com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.class,
              com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.Builder
                  .class);
    }

    public static final int SENTIMENT_FIELD_NUMBER = 1;
    private int sentiment_ = 0;
    /**
     *
     *
     * <pre>
     * Output only. The sentiment with the semantic, as given to the
     * [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData] when populating the dataset from which the model used
     * for the prediction had been trained.
     * The sentiment values are between 0 and
     * Dataset.text_sentiment_dataset_metadata.sentiment_max (inclusive),
     * with higher value meaning more positive sentiment. They are completely
     * relative, i.e. 0 means least positive sentiment and sentiment_max means
     * the most positive from the sentiments present in the train data. Therefore
     *  e.g. if train data had only negative sentiment, then sentiment_max, would
     * be still negative (although least negative).
     * The sentiment shouldn't be confused with "score" or "magnitude"
     * from the previous Natural Language Sentiment Analysis API.
     * </pre>
     *
     * <code>int32 sentiment = 1;</code>
     *
     * @return The sentiment.
     */
    @java.lang.Override
    public int getSentiment() {
      return sentiment_;
    }

    private byte memoizedIsInitialized = -1;

    @java.lang.Override
    public final boolean isInitialized() {
      byte isInitialized = memoizedIsInitialized;
      if (isInitialized == 1) return true;
      if (isInitialized == 0) return false;

      memoizedIsInitialized = 1;
      return true;
    }

    @java.lang.Override
    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
      if (sentiment_ != 0) {
        output.writeInt32(1, sentiment_);
      }
      getUnknownFields().writeTo(output);
    }

    @java.lang.Override
    public int getSerializedSize() {
      int size = memoizedSize;
      if (size != -1) return size;

      size = 0;
      if (sentiment_ != 0) {
        size += com.google.protobuf.CodedOutputStream.computeInt32Size(1, sentiment_);
      }
      size += getUnknownFields().getSerializedSize();
      memoizedSize = size;
      return size;
    }

    @java.lang.Override
    public boolean equals(final java.lang.Object obj) {
      if (obj == this) {
        return true;
      }
      if (!(obj
          instanceof com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation)) {
        return super.equals(obj);
      }
      com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation other =
          (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation) obj;

      if (getSentiment() != other.getSentiment()) return false;
      if (!getUnknownFields().equals(other.getUnknownFields())) return false;
      return true;
    }

    @java.lang.Override
    public int hashCode() {
      if (memoizedHashCode != 0) {
        return memoizedHashCode;
      }
      int hash = 41;
      hash = (19 * hash) + getDescriptor().hashCode();
      hash = (37 * hash) + SENTIMENT_FIELD_NUMBER;
      hash = (53 * hash) + getSentiment();
      hash = (29 * hash) + getUnknownFields().hashCode();
      memoizedHashCode = hash;
      return hash;
    }

    public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
        parseFrom(java.nio.ByteBuffer data)
            throws com.google.protobuf.InvalidProtocolBufferException {
      return PARSER.parseFrom(data);
    }

    public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
        parseFrom(
            java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
            throws com.google.protobuf.InvalidProtocolBufferException {
      return PARSER.parseFrom(data, extensionRegistry);
    }

    public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
        parseFrom(com.google.protobuf.ByteString data)
            throws com.google.protobuf.InvalidProtocolBufferException {
      return PARSER.parseFrom(data);
    }

    public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
        parseFrom(
            com.google.protobuf.ByteString data,
            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
            throws com.google.protobuf.InvalidProtocolBufferException {
      return PARSER.parseFrom(data, extensionRegistry);
    }

    public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
        parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
      return PARSER.parseFrom(data);
    }

    public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
        parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
            throws com.google.protobuf.InvalidProtocolBufferException {
      return PARSER.parseFrom(data, extensionRegistry);
    }

    public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
        parseFrom(java.io.InputStream input) throws java.io.IOException {
      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
    }

    public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
        parseFrom(
            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
            throws java.io.IOException {
      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
          PARSER, input, extensionRegistry);
    }

    public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
    }

    public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
        parseDelimitedFrom(
            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
            throws java.io.IOException {
      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
          PARSER, input, extensionRegistry);
    }

    public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
        parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
    }

    public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
        parseFrom(
            com.google.protobuf.CodedInputStream input,
            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
            throws java.io.IOException {
      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
          PARSER, input, extensionRegistry);
    }

    @java.lang.Override
    public Builder newBuilderForType() {
      return newBuilder();
    }

    public static Builder newBuilder() {
      return DEFAULT_INSTANCE.toBuilder();
    }

    public static Builder newBuilder(
        com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation prototype) {
      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
    }

    @java.lang.Override
    public Builder toBuilder() {
      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
    }

    @java.lang.Override
    protected Builder newBuilderForType(
        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
      Builder builder = new Builder(parent);
      return builder;
    }
    /**
     *
     *
     * <pre>
     * Contains annotation details specific to text sentiment.
     * </pre>
     *
     * Protobuf type {@code google.cloud.automl.v1beta1.TextSentimentAnnotation}
     */
    public static final class Builder
        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
        implements
        // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TextSentimentAnnotation)
        com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotationOrBuilder {
      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
        return com.google.cloud.automl.v1beta1.TextSentimentProto
            .internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_descriptor;
      }

      @java.lang.Override
      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
          internalGetFieldAccessorTable() {
        return com.google.cloud.automl.v1beta1.TextSentimentProto
            .internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_fieldAccessorTable
            .ensureFieldAccessorsInitialized(
                com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.class,
                com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.Builder
                    .class);
      }

      // Construct using
      // com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation.newBuilder()
      private Builder() {}

      private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
        super(parent);
      }

      @java.lang.Override
      public Builder clear() {
        super.clear();
        bitField0_ = 0;
        sentiment_ = 0;
        return this;
      }

      @java.lang.Override
      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
        return com.google.cloud.automl.v1beta1.TextSentimentProto
            .internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_descriptor;
      }

      @java.lang.Override
      public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
          getDefaultInstanceForType() {
        return com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
            .getDefaultInstance();
      }

      @java.lang.Override
      public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation build() {
        com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation result =
            buildPartial();
        if (!result.isInitialized()) {
          throw newUninitializedMessageException(result);
        }
        return result;
      }

      @java.lang.Override
      public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
          buildPartial() {
        com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation result =
            new com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation(this);
        if (bitField0_ != 0) {
          buildPartial0(result);
        }
        onBuilt();
        return result;
      }

      private void buildPartial0(
          com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation result) {
        int from_bitField0_ = bitField0_;
        if (((from_bitField0_ & 0x00000001) != 0)) {
          result.sentiment_ = sentiment_;
        }
      }

      @java.lang.Override
      public Builder clone() {
        return super.clone();
      }

      @java.lang.Override
      public Builder setField(
          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
        return super.setField(field, value);
      }

      @java.lang.Override
      public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
        return super.clearField(field);
      }

      @java.lang.Override
      public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
        return super.clearOneof(oneof);
      }

      @java.lang.Override
      public Builder setRepeatedField(
          com.google.protobuf.Descriptors.FieldDescriptor field,
          int index,
          java.lang.Object value) {
        return super.setRepeatedField(field, index, value);
      }

      @java.lang.Override
      public Builder addRepeatedField(
          com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
        return super.addRepeatedField(field, value);
      }

      @java.lang.Override
      public Builder mergeFrom(com.google.protobuf.Message other) {
        if (other
            instanceof com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation) {
          return mergeFrom(
              (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation) other);
        } else {
          super.mergeFrom(other);
          return this;
        }
      }

      public Builder mergeFrom(
          com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation other) {
        if (other
            == com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
                .getDefaultInstance()) return this;
        if (other.getSentiment() != 0) {
          setSentiment(other.getSentiment());
        }
        this.mergeUnknownFields(other.getUnknownFields());
        onChanged();
        return this;
      }

      @java.lang.Override
      public final boolean isInitialized() {
        return true;
      }

      @java.lang.Override
      public Builder mergeFrom(
          com.google.protobuf.CodedInputStream input,
          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
          throws java.io.IOException {
        if (extensionRegistry == null) {
          throw new java.lang.NullPointerException();
        }
        try {
          boolean done = false;
          while (!done) {
            int tag = input.readTag();
            switch (tag) {
              case 0:
                done = true;
                break;
              case 8:
                {
                  sentiment_ = input.readInt32();
                  bitField0_ |= 0x00000001;
                  break;
                } // case 8
              default:
                {
                  if (!super.parseUnknownField(input, extensionRegistry, tag)) {
                    done = true; // was an endgroup tag
                  }
                  break;
                } // default:
            } // switch (tag)
          } // while (!done)
        } catch (com.google.protobuf.InvalidProtocolBufferException e) {
          throw e.unwrapIOException();
        } finally {
          onChanged();
        } // finally
        return this;
      }

      private int bitField0_;

      private int sentiment_;
      /**
       *
       *
       * <pre>
       * Output only. The sentiment with the semantic, as given to the
       * [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData] when populating the dataset from which the model used
       * for the prediction had been trained.
       * The sentiment values are between 0 and
       * Dataset.text_sentiment_dataset_metadata.sentiment_max (inclusive),
       * with higher value meaning more positive sentiment. They are completely
       * relative, i.e. 0 means least positive sentiment and sentiment_max means
       * the most positive from the sentiments present in the train data. Therefore
       *  e.g. if train data had only negative sentiment, then sentiment_max, would
       * be still negative (although least negative).
       * The sentiment shouldn't be confused with "score" or "magnitude"
       * from the previous Natural Language Sentiment Analysis API.
       * </pre>
       *
       * <code>int32 sentiment = 1;</code>
       *
       * @return The sentiment.
       */
      @java.lang.Override
      public int getSentiment() {
        return sentiment_;
      }
      /**
       *
       *
       * <pre>
       * Output only. The sentiment with the semantic, as given to the
       * [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData] when populating the dataset from which the model used
       * for the prediction had been trained.
       * The sentiment values are between 0 and
       * Dataset.text_sentiment_dataset_metadata.sentiment_max (inclusive),
       * with higher value meaning more positive sentiment. They are completely
       * relative, i.e. 0 means least positive sentiment and sentiment_max means
       * the most positive from the sentiments present in the train data. Therefore
       *  e.g. if train data had only negative sentiment, then sentiment_max, would
       * be still negative (although least negative).
       * The sentiment shouldn't be confused with "score" or "magnitude"
       * from the previous Natural Language Sentiment Analysis API.
       * </pre>
       *
       * <code>int32 sentiment = 1;</code>
       *
       * @param value The sentiment to set.
       * @return This builder for chaining.
       */
      public Builder setSentiment(int value) {

        sentiment_ = value;
        bitField0_ |= 0x00000001;
        onChanged();
        return this;
      }
      /**
       *
       *
       * <pre>
       * Output only. The sentiment with the semantic, as given to the
       * [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData] when populating the dataset from which the model used
       * for the prediction had been trained.
       * The sentiment values are between 0 and
       * Dataset.text_sentiment_dataset_metadata.sentiment_max (inclusive),
       * with higher value meaning more positive sentiment. They are completely
       * relative, i.e. 0 means least positive sentiment and sentiment_max means
       * the most positive from the sentiments present in the train data. Therefore
       *  e.g. if train data had only negative sentiment, then sentiment_max, would
       * be still negative (although least negative).
       * The sentiment shouldn't be confused with "score" or "magnitude"
       * from the previous Natural Language Sentiment Analysis API.
       * </pre>
       *
       * <code>int32 sentiment = 1;</code>
       *
       * @return This builder for chaining.
       */
      public Builder clearSentiment() {
        bitField0_ = (bitField0_ & ~0x00000001);
        sentiment_ = 0;
        onChanged();
        return this;
      }

      @java.lang.Override
      public final Builder setUnknownFields(
          final com.google.protobuf.UnknownFieldSet unknownFields) {
        return super.setUnknownFields(unknownFields);
      }

      @java.lang.Override
      public final Builder mergeUnknownFields(
          final com.google.protobuf.UnknownFieldSet unknownFields) {
        return super.mergeUnknownFields(unknownFields);
      }

      // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TextSentimentAnnotation)
    }

    // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextSentimentAnnotation)
    private static final com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
        DEFAULT_INSTANCE;

    static {
      DEFAULT_INSTANCE =
          new com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation();
    }

    public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
        getDefaultInstance() {
      return DEFAULT_INSTANCE;
    }

    private static final com.google.protobuf.Parser<TextSentimentAnnotation> PARSER =
        new com.google.protobuf.AbstractParser<TextSentimentAnnotation>() {
          @java.lang.Override
          public TextSentimentAnnotation parsePartialFrom(
              com.google.protobuf.CodedInputStream input,
              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
              throws com.google.protobuf.InvalidProtocolBufferException {
            Builder builder = newBuilder();
            try {
              builder.mergeFrom(input, extensionRegistry);
            } catch (com.google.protobuf.InvalidProtocolBufferException e) {
              throw e.setUnfinishedMessage(builder.buildPartial());
            } catch (com.google.protobuf.UninitializedMessageException e) {
              throw e.asInvalidProtocolBufferException()
                  .setUnfinishedMessage(builder.buildPartial());
            } catch (java.io.IOException e) {
              throw new com.google.protobuf.InvalidProtocolBufferException(e)
                  .setUnfinishedMessage(builder.buildPartial());
            }
            return builder.buildPartial();
          }
        };

    public static com.google.protobuf.Parser<TextSentimentAnnotation> parser() {
      return PARSER;
    }

    @java.lang.Override
    public com.google.protobuf.Parser<TextSentimentAnnotation> getParserForType() {
      return PARSER;
    }

    @java.lang.Override
    public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentAnnotation
        getDefaultInstanceForType() {
      return DEFAULT_INSTANCE;
    }
  }

  public interface TextSentimentEvaluationMetricsOrBuilder
      extends
      // @@protoc_insertion_point(interface_extends:google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics)
      com.google.protobuf.MessageOrBuilder {

    /**
     *
     *
     * <pre>
     * Output only. Precision.
     * </pre>
     *
     * <code>float precision = 1;</code>
     *
     * @return The precision.
     */
    float getPrecision();

    /**
     *
     *
     * <pre>
     * Output only. Recall.
     * </pre>
     *
     * <code>float recall = 2;</code>
     *
     * @return The recall.
     */
    float getRecall();

    /**
     *
     *
     * <pre>
     * Output only. The harmonic mean of recall and precision.
     * </pre>
     *
     * <code>float f1_score = 3;</code>
     *
     * @return The f1Score.
     */
    float getF1Score();

    /**
     *
     *
     * <pre>
     * Output only. Mean absolute error. Only set for the overall model
     * evaluation, not for evaluation of a single annotation spec.
     * </pre>
     *
     * <code>float mean_absolute_error = 4;</code>
     *
     * @return The meanAbsoluteError.
     */
    float getMeanAbsoluteError();

    /**
     *
     *
     * <pre>
     * Output only. Mean squared error. Only set for the overall model
     * evaluation, not for evaluation of a single annotation spec.
     * </pre>
     *
     * <code>float mean_squared_error = 5;</code>
     *
     * @return The meanSquaredError.
     */
    float getMeanSquaredError();

    /**
     *
     *
     * <pre>
     * Output only. Linear weighted kappa. Only set for the overall model
     * evaluation, not for evaluation of a single annotation spec.
     * </pre>
     *
     * <code>float linear_kappa = 6;</code>
     *
     * @return The linearKappa.
     */
    float getLinearKappa();

    /**
     *
     *
     * <pre>
     * Output only. Quadratic weighted kappa. Only set for the overall model
     * evaluation, not for evaluation of a single annotation spec.
     * </pre>
     *
     * <code>float quadratic_kappa = 7;</code>
     *
     * @return The quadraticKappa.
     */
    float getQuadraticKappa();

    /**
     *
     *
     * <pre>
     * Output only. Confusion matrix of the evaluation.
     * Only set for the overall model evaluation, not for evaluation of a single
     * annotation spec.
     * </pre>
     *
     * <code>
     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;
     * </code>
     *
     * @return Whether the confusionMatrix field is set.
     */
    boolean hasConfusionMatrix();
    /**
     *
     *
     * <pre>
     * Output only. Confusion matrix of the evaluation.
     * Only set for the overall model evaluation, not for evaluation of a single
     * annotation spec.
     * </pre>
     *
     * <code>
     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;
     * </code>
     *
     * @return The confusionMatrix.
     */
    com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
            .ConfusionMatrix
        getConfusionMatrix();
    /**
     *
     *
     * <pre>
     * Output only. Confusion matrix of the evaluation.
     * Only set for the overall model evaluation, not for evaluation of a single
     * annotation spec.
     * </pre>
     *
     * <code>
     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;
     * </code>
     */
    com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
            .ConfusionMatrixOrBuilder
        getConfusionMatrixOrBuilder();

    /**
     *
     *
     * <pre>
     * Output only. The annotation spec ids used for this evaluation.
     * Deprecated .
     * </pre>
     *
     * <code>repeated string annotation_spec_id = 9 [deprecated = true];</code>
     *
     * @deprecated google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id is
     *     deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=77
     * @return A list containing the annotationSpecId.
     */
    @java.lang.Deprecated
    java.util.List<java.lang.String> getAnnotationSpecIdList();
    /**
     *
     *
     * <pre>
     * Output only. The annotation spec ids used for this evaluation.
     * Deprecated .
     * </pre>
     *
     * <code>repeated string annotation_spec_id = 9 [deprecated = true];</code>
     *
     * @deprecated google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id is
     *     deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=77
     * @return The count of annotationSpecId.
     */
    @java.lang.Deprecated
    int getAnnotationSpecIdCount();
    /**
     *
     *
     * <pre>
     * Output only. The annotation spec ids used for this evaluation.
     * Deprecated .
     * </pre>
     *
     * <code>repeated string annotation_spec_id = 9 [deprecated = true];</code>
     *
     * @deprecated google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id is
     *     deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=77
     * @param index The index of the element to return.
     * @return The annotationSpecId at the given index.
     */
    @java.lang.Deprecated
    java.lang.String getAnnotationSpecId(int index);
    /**
     *
     *
     * <pre>
     * Output only. The annotation spec ids used for this evaluation.
     * Deprecated .
     * </pre>
     *
     * <code>repeated string annotation_spec_id = 9 [deprecated = true];</code>
     *
     * @deprecated google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id is
     *     deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=77
     * @param index The index of the value to return.
     * @return The bytes of the annotationSpecId at the given index.
     */
    @java.lang.Deprecated
    com.google.protobuf.ByteString getAnnotationSpecIdBytes(int index);
  }
  /**
   *
   *
   * <pre>
   * Model evaluation metrics for text sentiment problems.
   * </pre>
   *
   * Protobuf type {@code google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics}
   */
  public static final class TextSentimentEvaluationMetrics
      extends com.google.protobuf.GeneratedMessageV3
      implements
      // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics)
      TextSentimentEvaluationMetricsOrBuilder {
    private static final long serialVersionUID = 0L;
    // Use TextSentimentEvaluationMetrics.newBuilder() to construct.
    private TextSentimentEvaluationMetrics(
        com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
      super(builder);
    }

    private TextSentimentEvaluationMetrics() {
      annotationSpecId_ = com.google.protobuf.LazyStringArrayList.EMPTY;
    }

    @java.lang.Override
    @SuppressWarnings({"unused"})
    protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
      return new TextSentimentEvaluationMetrics();
    }

    @java.lang.Override
    public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
      return this.unknownFields;
    }

    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      return com.google.cloud.automl.v1beta1.TextSentimentProto
          .internal_static_google_cloud_automl_v1beta1_TextSentimentEvaluationMetrics_descriptor;
    }

    @java.lang.Override
    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
        internalGetFieldAccessorTable() {
      return com.google.cloud.automl.v1beta1.TextSentimentProto
          .internal_static_google_cloud_automl_v1beta1_TextSentimentEvaluationMetrics_fieldAccessorTable
          .ensureFieldAccessorsInitialized(
              com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
                  .class,
              com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
                  .Builder.class);
    }

    public static final int PRECISION_FIELD_NUMBER = 1;
    private float precision_ = 0F;
    /**
     *
     *
     * <pre>
     * Output only. Precision.
     * </pre>
     *
     * <code>float precision = 1;</code>
     *
     * @return The precision.
     */
    @java.lang.Override
    public float getPrecision() {
      return precision_;
    }

    public static final int RECALL_FIELD_NUMBER = 2;
    private float recall_ = 0F;
    /**
     *
     *
     * <pre>
     * Output only. Recall.
     * </pre>
     *
     * <code>float recall = 2;</code>
     *
     * @return The recall.
     */
    @java.lang.Override
    public float getRecall() {
      return recall_;
    }

    public static final int F1_SCORE_FIELD_NUMBER = 3;
    private float f1Score_ = 0F;
    /**
     *
     *
     * <pre>
     * Output only. The harmonic mean of recall and precision.
     * </pre>
     *
     * <code>float f1_score = 3;</code>
     *
     * @return The f1Score.
     */
    @java.lang.Override
    public float getF1Score() {
      return f1Score_;
    }

    public static final int MEAN_ABSOLUTE_ERROR_FIELD_NUMBER = 4;
    private float meanAbsoluteError_ = 0F;
    /**
     *
     *
     * <pre>
     * Output only. Mean absolute error. Only set for the overall model
     * evaluation, not for evaluation of a single annotation spec.
     * </pre>
     *
     * <code>float mean_absolute_error = 4;</code>
     *
     * @return The meanAbsoluteError.
     */
    @java.lang.Override
    public float getMeanAbsoluteError() {
      return meanAbsoluteError_;
    }

    public static final int MEAN_SQUARED_ERROR_FIELD_NUMBER = 5;
    private float meanSquaredError_ = 0F;
    /**
     *
     *
     * <pre>
     * Output only. Mean squared error. Only set for the overall model
     * evaluation, not for evaluation of a single annotation spec.
     * </pre>
     *
     * <code>float mean_squared_error = 5;</code>
     *
     * @return The meanSquaredError.
     */
    @java.lang.Override
    public float getMeanSquaredError() {
      return meanSquaredError_;
    }

    public static final int LINEAR_KAPPA_FIELD_NUMBER = 6;
    private float linearKappa_ = 0F;
    /**
     *
     *
     * <pre>
     * Output only. Linear weighted kappa. Only set for the overall model
     * evaluation, not for evaluation of a single annotation spec.
     * </pre>
     *
     * <code>float linear_kappa = 6;</code>
     *
     * @return The linearKappa.
     */
    @java.lang.Override
    public float getLinearKappa() {
      return linearKappa_;
    }

    public static final int QUADRATIC_KAPPA_FIELD_NUMBER = 7;
    private float quadraticKappa_ = 0F;
    /**
     *
     *
     * <pre>
     * Output only. Quadratic weighted kappa. Only set for the overall model
     * evaluation, not for evaluation of a single annotation spec.
     * </pre>
     *
     * <code>float quadratic_kappa = 7;</code>
     *
     * @return The quadraticKappa.
     */
    @java.lang.Override
    public float getQuadraticKappa() {
      return quadraticKappa_;
    }

    public static final int CONFUSION_MATRIX_FIELD_NUMBER = 8;
    private com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
            .ConfusionMatrix
        confusionMatrix_;
    /**
     *
     *
     * <pre>
     * Output only. Confusion matrix of the evaluation.
     * Only set for the overall model evaluation, not for evaluation of a single
     * annotation spec.
     * </pre>
     *
     * <code>
     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;
     * </code>
     *
     * @return Whether the confusionMatrix field is set.
     */
    @java.lang.Override
    public boolean hasConfusionMatrix() {
      return confusionMatrix_ != null;
    }
    /**
     *
     *
     * <pre>
     * Output only. Confusion matrix of the evaluation.
     * Only set for the overall model evaluation, not for evaluation of a single
     * annotation spec.
     * </pre>
     *
     * <code>
     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;
     * </code>
     *
     * @return The confusionMatrix.
     */
    @java.lang.Override
    public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
            .ConfusionMatrix
        getConfusionMatrix() {
      return confusionMatrix_ == null
          ? com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
              .ConfusionMatrix.getDefaultInstance()
          : confusionMatrix_;
    }
    /**
     *
     *
     * <pre>
     * Output only. Confusion matrix of the evaluation.
     * Only set for the overall model evaluation, not for evaluation of a single
     * annotation spec.
     * </pre>
     *
     * <code>
     * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;
     * </code>
     */
    @java.lang.Override
    public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
            .ConfusionMatrixOrBuilder
        getConfusionMatrixOrBuilder() {
      return confusionMatrix_ == null
          ? com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
              .ConfusionMatrix.getDefaultInstance()
          : confusionMatrix_;
    }

    public static final int ANNOTATION_SPEC_ID_FIELD_NUMBER = 9;

    @SuppressWarnings("serial")
    private com.google.protobuf.LazyStringList annotationSpecId_;
    /**
     *
     *
     * <pre>
     * Output only. The annotation spec ids used for this evaluation.
     * Deprecated .
     * </pre>
     *
     * <code>repeated string annotation_spec_id = 9 [deprecated = true];</code>
     *
     * @deprecated google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id is
     *     deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=77
     * @return A list containing the annotationSpecId.
     */
    @java.lang.Deprecated
    public com.google.protobuf.ProtocolStringList getAnnotationSpecIdList() {
      return annotationSpecId_;
    }
    /**
     *
     *
     * <pre>
     * Output only. The annotation spec ids used for this evaluation.
     * Deprecated .
     * </pre>
     *
     * <code>repeated string annotation_spec_id = 9 [deprecated = true];</code>
     *
     * @deprecated google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id is
     *     deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=77
     * @return The count of annotationSpecId.
     */
    @java.lang.Deprecated
    public int getAnnotationSpecIdCount() {
      return annotationSpecId_.size();
    }
    /**
     *
     *
     * <pre>
     * Output only. The annotation spec ids used for this evaluation.
     * Deprecated .
     * </pre>
     *
     * <code>repeated string annotation_spec_id = 9 [deprecated = true];</code>
     *
     * @deprecated google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id is
     *     deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=77
     * @param index The index of the element to return.
     * @return The annotationSpecId at the given index.
     */
    @java.lang.Deprecated
    public java.lang.String getAnnotationSpecId(int index) {
      return annotationSpecId_.get(index);
    }
    /**
     *
     *
     * <pre>
     * Output only. The annotation spec ids used for this evaluation.
     * Deprecated .
     * </pre>
     *
     * <code>repeated string annotation_spec_id = 9 [deprecated = true];</code>
     *
     * @deprecated google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id is
     *     deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=77
     * @param index The index of the value to return.
     * @return The bytes of the annotationSpecId at the given index.
     */
    @java.lang.Deprecated
    public com.google.protobuf.ByteString getAnnotationSpecIdBytes(int index) {
      return annotationSpecId_.getByteString(index);
    }

    private byte memoizedIsInitialized = -1;

    @java.lang.Override
    public final boolean isInitialized() {
      byte isInitialized = memoizedIsInitialized;
      if (isInitialized == 1) return true;
      if (isInitialized == 0) return false;

      memoizedIsInitialized = 1;
      return true;
    }

    @java.lang.Override
    public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
      if (java.lang.Float.floatToRawIntBits(precision_) != 0) {
        output.writeFloat(1, precision_);
      }
      if (java.lang.Float.floatToRawIntBits(recall_) != 0) {
        output.writeFloat(2, recall_);
      }
      if (java.lang.Float.floatToRawIntBits(f1Score_) != 0) {
        output.writeFloat(3, f1Score_);
      }
      if (java.lang.Float.floatToRawIntBits(meanAbsoluteError_) != 0) {
        output.writeFloat(4, meanAbsoluteError_);
      }
      if (java.lang.Float.floatToRawIntBits(meanSquaredError_) != 0) {
        output.writeFloat(5, meanSquaredError_);
      }
      if (java.lang.Float.floatToRawIntBits(linearKappa_) != 0) {
        output.writeFloat(6, linearKappa_);
      }
      if (java.lang.Float.floatToRawIntBits(quadraticKappa_) != 0) {
        output.writeFloat(7, quadraticKappa_);
      }
      if (confusionMatrix_ != null) {
        output.writeMessage(8, getConfusionMatrix());
      }
      for (int i = 0; i < annotationSpecId_.size(); i++) {
        com.google.protobuf.GeneratedMessageV3.writeString(output, 9, annotationSpecId_.getRaw(i));
      }
      getUnknownFields().writeTo(output);
    }

    @java.lang.Override
    public int getSerializedSize() {
      int size = memoizedSize;
      if (size != -1) return size;

      size = 0;
      if (java.lang.Float.floatToRawIntBits(precision_) != 0) {
        size += com.google.protobuf.CodedOutputStream.computeFloatSize(1, precision_);
      }
      if (java.lang.Float.floatToRawIntBits(recall_) != 0) {
        size += com.google.protobuf.CodedOutputStream.computeFloatSize(2, recall_);
      }
      if (java.lang.Float.floatToRawIntBits(f1Score_) != 0) {
        size += com.google.protobuf.CodedOutputStream.computeFloatSize(3, f1Score_);
      }
      if (java.lang.Float.floatToRawIntBits(meanAbsoluteError_) != 0) {
        size += com.google.protobuf.CodedOutputStream.computeFloatSize(4, meanAbsoluteError_);
      }
      if (java.lang.Float.floatToRawIntBits(meanSquaredError_) != 0) {
        size += com.google.protobuf.CodedOutputStream.computeFloatSize(5, meanSquaredError_);
      }
      if (java.lang.Float.floatToRawIntBits(linearKappa_) != 0) {
        size += com.google.protobuf.CodedOutputStream.computeFloatSize(6, linearKappa_);
      }
      if (java.lang.Float.floatToRawIntBits(quadraticKappa_) != 0) {
        size += com.google.protobuf.CodedOutputStream.computeFloatSize(7, quadraticKappa_);
      }
      if (confusionMatrix_ != null) {
        size += com.google.protobuf.CodedOutputStream.computeMessageSize(8, getConfusionMatrix());
      }
      {
        int dataSize = 0;
        for (int i = 0; i < annotationSpecId_.size(); i++) {
          dataSize += computeStringSizeNoTag(annotationSpecId_.getRaw(i));
        }
        size += dataSize;
        size += 1 * getAnnotationSpecIdList().size();
      }
      size += getUnknownFields().getSerializedSize();
      memoizedSize = size;
      return size;
    }

    @java.lang.Override
    public boolean equals(final java.lang.Object obj) {
      if (obj == this) {
        return true;
      }
      if (!(obj
          instanceof
          com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics)) {
        return super.equals(obj);
      }
      com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics other =
          (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics) obj;

      if (java.lang.Float.floatToIntBits(getPrecision())
          != java.lang.Float.floatToIntBits(other.getPrecision())) return false;
      if (java.lang.Float.floatToIntBits(getRecall())
          != java.lang.Float.floatToIntBits(other.getRecall())) return false;
      if (java.lang.Float.floatToIntBits(getF1Score())
          != java.lang.Float.floatToIntBits(other.getF1Score())) return false;
      if (java.lang.Float.floatToIntBits(getMeanAbsoluteError())
          != java.lang.Float.floatToIntBits(other.getMeanAbsoluteError())) return false;
      if (java.lang.Float.floatToIntBits(getMeanSquaredError())
          != java.lang.Float.floatToIntBits(other.getMeanSquaredError())) return false;
      if (java.lang.Float.floatToIntBits(getLinearKappa())
          != java.lang.Float.floatToIntBits(other.getLinearKappa())) return false;
      if (java.lang.Float.floatToIntBits(getQuadraticKappa())
          != java.lang.Float.floatToIntBits(other.getQuadraticKappa())) return false;
      if (hasConfusionMatrix() != other.hasConfusionMatrix()) return false;
      if (hasConfusionMatrix()) {
        if (!getConfusionMatrix().equals(other.getConfusionMatrix())) return false;
      }
      if (!getAnnotationSpecIdList().equals(other.getAnnotationSpecIdList())) return false;
      if (!getUnknownFields().equals(other.getUnknownFields())) return false;
      return true;
    }

    @java.lang.Override
    public int hashCode() {
      if (memoizedHashCode != 0) {
        return memoizedHashCode;
      }
      int hash = 41;
      hash = (19 * hash) + getDescriptor().hashCode();
      hash = (37 * hash) + PRECISION_FIELD_NUMBER;
      hash = (53 * hash) + java.lang.Float.floatToIntBits(getPrecision());
      hash = (37 * hash) + RECALL_FIELD_NUMBER;
      hash = (53 * hash) + java.lang.Float.floatToIntBits(getRecall());
      hash = (37 * hash) + F1_SCORE_FIELD_NUMBER;
      hash = (53 * hash) + java.lang.Float.floatToIntBits(getF1Score());
      hash = (37 * hash) + MEAN_ABSOLUTE_ERROR_FIELD_NUMBER;
      hash = (53 * hash) + java.lang.Float.floatToIntBits(getMeanAbsoluteError());
      hash = (37 * hash) + MEAN_SQUARED_ERROR_FIELD_NUMBER;
      hash = (53 * hash) + java.lang.Float.floatToIntBits(getMeanSquaredError());
      hash = (37 * hash) + LINEAR_KAPPA_FIELD_NUMBER;
      hash = (53 * hash) + java.lang.Float.floatToIntBits(getLinearKappa());
      hash = (37 * hash) + QUADRATIC_KAPPA_FIELD_NUMBER;
      hash = (53 * hash) + java.lang.Float.floatToIntBits(getQuadraticKappa());
      if (hasConfusionMatrix()) {
        hash = (37 * hash) + CONFUSION_MATRIX_FIELD_NUMBER;
        hash = (53 * hash) + getConfusionMatrix().hashCode();
      }
      if (getAnnotationSpecIdCount() > 0) {
        hash = (37 * hash) + ANNOTATION_SPEC_ID_FIELD_NUMBER;
        hash = (53 * hash) + getAnnotationSpecIdList().hashCode();
      }
      hash = (29 * hash) + getUnknownFields().hashCode();
      memoizedHashCode = hash;
      return hash;
    }

    public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
        parseFrom(java.nio.ByteBuffer data)
            throws com.google.protobuf.InvalidProtocolBufferException {
      return PARSER.parseFrom(data);
    }

    public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
        parseFrom(
            java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
            throws com.google.protobuf.InvalidProtocolBufferException {
      return PARSER.parseFrom(data, extensionRegistry);
    }

    public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
        parseFrom(com.google.protobuf.ByteString data)
            throws com.google.protobuf.InvalidProtocolBufferException {
      return PARSER.parseFrom(data);
    }

    public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
        parseFrom(
            com.google.protobuf.ByteString data,
            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
            throws com.google.protobuf.InvalidProtocolBufferException {
      return PARSER.parseFrom(data, extensionRegistry);
    }

    public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
        parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
      return PARSER.parseFrom(data);
    }

    public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
        parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
            throws com.google.protobuf.InvalidProtocolBufferException {
      return PARSER.parseFrom(data, extensionRegistry);
    }

    public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
        parseFrom(java.io.InputStream input) throws java.io.IOException {
      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
    }

    public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
        parseFrom(
            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
            throws java.io.IOException {
      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
          PARSER, input, extensionRegistry);
    }

    public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
        parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException {
      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
    }

    public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
        parseDelimitedFrom(
            java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
            throws java.io.IOException {
      return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
          PARSER, input, extensionRegistry);
    }

    public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
        parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException {
      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
    }

    public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
        parseFrom(
            com.google.protobuf.CodedInputStream input,
            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
            throws java.io.IOException {
      return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
          PARSER, input, extensionRegistry);
    }

    @java.lang.Override
    public Builder newBuilderForType() {
      return newBuilder();
    }

    public static Builder newBuilder() {
      return DEFAULT_INSTANCE.toBuilder();
    }

    public static Builder newBuilder(
        com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
            prototype) {
      return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
    }

    @java.lang.Override
    public Builder toBuilder() {
      return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
    }

    @java.lang.Override
    protected Builder newBuilderForType(
        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
      Builder builder = new Builder(parent);
      return builder;
    }
    /**
     *
     *
     * <pre>
     * Model evaluation metrics for text sentiment problems.
     * </pre>
     *
     * Protobuf type {@code google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics}
     */
    public static final class Builder
        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
        implements
        // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics)
        com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetricsOrBuilder {
      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
        return com.google.cloud.automl.v1beta1.TextSentimentProto
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        recall_ = 0F;
        f1Score_ = 0F;
        meanAbsoluteError_ = 0F;
        meanSquaredError_ = 0F;
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      @java.lang.Override
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      public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
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        if (!result.isInitialized()) {
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      @java.lang.Override
      public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
          buildPartial() {
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              confusionMatrixBuilder_ == null ? confusionMatrix_ : confusionMatrixBuilder_.build();
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      public Builder mergeFrom(com.google.protobuf.Message other) {
        if (other
            instanceof
            com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics) {
          return mergeFrom(
              (com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics)
                  other);
        } else {
          super.mergeFrom(other);
          return this;
        }
      }

      public Builder mergeFrom(
          com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics other) {
        if (other
            == com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
                .getDefaultInstance()) return this;
        if (other.getPrecision() != 0F) {
          setPrecision(other.getPrecision());
        }
        if (other.getRecall() != 0F) {
          setRecall(other.getRecall());
        }
        if (other.getF1Score() != 0F) {
          setF1Score(other.getF1Score());
        }
        if (other.getMeanAbsoluteError() != 0F) {
          setMeanAbsoluteError(other.getMeanAbsoluteError());
        }
        if (other.getMeanSquaredError() != 0F) {
          setMeanSquaredError(other.getMeanSquaredError());
        }
        if (other.getLinearKappa() != 0F) {
          setLinearKappa(other.getLinearKappa());
        }
        if (other.getQuadraticKappa() != 0F) {
          setQuadraticKappa(other.getQuadraticKappa());
        }
        if (other.hasConfusionMatrix()) {
          mergeConfusionMatrix(other.getConfusionMatrix());
        }
        if (!other.annotationSpecId_.isEmpty()) {
          if (annotationSpecId_.isEmpty()) {
            annotationSpecId_ = other.annotationSpecId_;
            bitField0_ = (bitField0_ & ~0x00000100);
          } else {
            ensureAnnotationSpecIdIsMutable();
            annotationSpecId_.addAll(other.annotationSpecId_);
          }
          onChanged();
        }
        this.mergeUnknownFields(other.getUnknownFields());
        onChanged();
        return this;
      }

      @java.lang.Override
      public final boolean isInitialized() {
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      @java.lang.Override
      public Builder mergeFrom(
          com.google.protobuf.CodedInputStream input,
          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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              case 13:
                {
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                  bitField0_ |= 0x00000001;
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                } // case 13
              case 21:
                {
                  recall_ = input.readFloat();
                  bitField0_ |= 0x00000002;
                  break;
                } // case 21
              case 29:
                {
                  f1Score_ = input.readFloat();
                  bitField0_ |= 0x00000004;
                  break;
                } // case 29
              case 37:
                {
                  meanAbsoluteError_ = input.readFloat();
                  bitField0_ |= 0x00000008;
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              case 45:
                {
                  meanSquaredError_ = input.readFloat();
                  bitField0_ |= 0x00000010;
                  break;
                } // case 45
              case 53:
                {
                  linearKappa_ = input.readFloat();
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                } // case 53
              case 61:
                {
                  quadraticKappa_ = input.readFloat();
                  bitField0_ |= 0x00000040;
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              case 66:
                {
                  input.readMessage(
                      getConfusionMatrixFieldBuilder().getBuilder(), extensionRegistry);
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              case 74:
                {
                  java.lang.String s = input.readStringRequireUtf8();
                  ensureAnnotationSpecIdIsMutable();
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                  break;
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                {
                  if (!super.parseUnknownField(input, extensionRegistry, tag)) {
                    done = true; // was an endgroup tag
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          throw e.unwrapIOException();
        } finally {
          onChanged();
        } // finally
        return this;
      }

      private int bitField0_;

      private float precision_;
      /**
       *
       *
       * <pre>
       * Output only. Precision.
       * </pre>
       *
       * <code>float precision = 1;</code>
       *
       * @return The precision.
       */
      @java.lang.Override
      public float getPrecision() {
        return precision_;
      }
      /**
       *
       *
       * <pre>
       * Output only. Precision.
       * </pre>
       *
       * <code>float precision = 1;</code>
       *
       * @param value The precision to set.
       * @return This builder for chaining.
       */
      public Builder setPrecision(float value) {

        precision_ = value;
        bitField0_ |= 0x00000001;
        onChanged();
        return this;
      }
      /**
       *
       *
       * <pre>
       * Output only. Precision.
       * </pre>
       *
       * <code>float precision = 1;</code>
       *
       * @return This builder for chaining.
       */
      public Builder clearPrecision() {
        bitField0_ = (bitField0_ & ~0x00000001);
        precision_ = 0F;
        onChanged();
        return this;
      }

      private float recall_;
      /**
       *
       *
       * <pre>
       * Output only. Recall.
       * </pre>
       *
       * <code>float recall = 2;</code>
       *
       * @return The recall.
       */
      @java.lang.Override
      public float getRecall() {
        return recall_;
      }
      /**
       *
       *
       * <pre>
       * Output only. Recall.
       * </pre>
       *
       * <code>float recall = 2;</code>
       *
       * @param value The recall to set.
       * @return This builder for chaining.
       */
      public Builder setRecall(float value) {

        recall_ = value;
        bitField0_ |= 0x00000002;
        onChanged();
        return this;
      }
      /**
       *
       *
       * <pre>
       * Output only. Recall.
       * </pre>
       *
       * <code>float recall = 2;</code>
       *
       * @return This builder for chaining.
       */
      public Builder clearRecall() {
        bitField0_ = (bitField0_ & ~0x00000002);
        recall_ = 0F;
        onChanged();
        return this;
      }

      private float f1Score_;
      /**
       *
       *
       * <pre>
       * Output only. The harmonic mean of recall and precision.
       * </pre>
       *
       * <code>float f1_score = 3;</code>
       *
       * @return The f1Score.
       */
      @java.lang.Override
      public float getF1Score() {
        return f1Score_;
      }
      /**
       *
       *
       * <pre>
       * Output only. The harmonic mean of recall and precision.
       * </pre>
       *
       * <code>float f1_score = 3;</code>
       *
       * @param value The f1Score to set.
       * @return This builder for chaining.
       */
      public Builder setF1Score(float value) {

        f1Score_ = value;
        bitField0_ |= 0x00000004;
        onChanged();
        return this;
      }
      /**
       *
       *
       * <pre>
       * Output only. The harmonic mean of recall and precision.
       * </pre>
       *
       * <code>float f1_score = 3;</code>
       *
       * @return This builder for chaining.
       */
      public Builder clearF1Score() {
        bitField0_ = (bitField0_ & ~0x00000004);
        f1Score_ = 0F;
        onChanged();
        return this;
      }

      private float meanAbsoluteError_;
      /**
       *
       *
       * <pre>
       * Output only. Mean absolute error. Only set for the overall model
       * evaluation, not for evaluation of a single annotation spec.
       * </pre>
       *
       * <code>float mean_absolute_error = 4;</code>
       *
       * @return The meanAbsoluteError.
       */
      @java.lang.Override
      public float getMeanAbsoluteError() {
        return meanAbsoluteError_;
      }
      /**
       *
       *
       * <pre>
       * Output only. Mean absolute error. Only set for the overall model
       * evaluation, not for evaluation of a single annotation spec.
       * </pre>
       *
       * <code>float mean_absolute_error = 4;</code>
       *
       * @param value The meanAbsoluteError to set.
       * @return This builder for chaining.
       */
      public Builder setMeanAbsoluteError(float value) {

        meanAbsoluteError_ = value;
        bitField0_ |= 0x00000008;
        onChanged();
        return this;
      }
      /**
       *
       *
       * <pre>
       * Output only. Mean absolute error. Only set for the overall model
       * evaluation, not for evaluation of a single annotation spec.
       * </pre>
       *
       * <code>float mean_absolute_error = 4;</code>
       *
       * @return This builder for chaining.
       */
      public Builder clearMeanAbsoluteError() {
        bitField0_ = (bitField0_ & ~0x00000008);
        meanAbsoluteError_ = 0F;
        onChanged();
        return this;
      }

      private float meanSquaredError_;
      /**
       *
       *
       * <pre>
       * Output only. Mean squared error. Only set for the overall model
       * evaluation, not for evaluation of a single annotation spec.
       * </pre>
       *
       * <code>float mean_squared_error = 5;</code>
       *
       * @return The meanSquaredError.
       */
      @java.lang.Override
      public float getMeanSquaredError() {
        return meanSquaredError_;
      }
      /**
       *
       *
       * <pre>
       * Output only. Mean squared error. Only set for the overall model
       * evaluation, not for evaluation of a single annotation spec.
       * </pre>
       *
       * <code>float mean_squared_error = 5;</code>
       *
       * @param value The meanSquaredError to set.
       * @return This builder for chaining.
       */
      public Builder setMeanSquaredError(float value) {

        meanSquaredError_ = value;
        bitField0_ |= 0x00000010;
        onChanged();
        return this;
      }
      /**
       *
       *
       * <pre>
       * Output only. Mean squared error. Only set for the overall model
       * evaluation, not for evaluation of a single annotation spec.
       * </pre>
       *
       * <code>float mean_squared_error = 5;</code>
       *
       * @return This builder for chaining.
       */
      public Builder clearMeanSquaredError() {
        bitField0_ = (bitField0_ & ~0x00000010);
        meanSquaredError_ = 0F;
        onChanged();
        return this;
      }

      private float linearKappa_;
      /**
       *
       *
       * <pre>
       * Output only. Linear weighted kappa. Only set for the overall model
       * evaluation, not for evaluation of a single annotation spec.
       * </pre>
       *
       * <code>float linear_kappa = 6;</code>
       *
       * @return The linearKappa.
       */
      @java.lang.Override
      public float getLinearKappa() {
        return linearKappa_;
      }
      /**
       *
       *
       * <pre>
       * Output only. Linear weighted kappa. Only set for the overall model
       * evaluation, not for evaluation of a single annotation spec.
       * </pre>
       *
       * <code>float linear_kappa = 6;</code>
       *
       * @param value The linearKappa to set.
       * @return This builder for chaining.
       */
      public Builder setLinearKappa(float value) {

        linearKappa_ = value;
        bitField0_ |= 0x00000020;
        onChanged();
        return this;
      }
      /**
       *
       *
       * <pre>
       * Output only. Linear weighted kappa. Only set for the overall model
       * evaluation, not for evaluation of a single annotation spec.
       * </pre>
       *
       * <code>float linear_kappa = 6;</code>
       *
       * @return This builder for chaining.
       */
      public Builder clearLinearKappa() {
        bitField0_ = (bitField0_ & ~0x00000020);
        linearKappa_ = 0F;
        onChanged();
        return this;
      }

      private float quadraticKappa_;
      /**
       *
       *
       * <pre>
       * Output only. Quadratic weighted kappa. Only set for the overall model
       * evaluation, not for evaluation of a single annotation spec.
       * </pre>
       *
       * <code>float quadratic_kappa = 7;</code>
       *
       * @return The quadraticKappa.
       */
      @java.lang.Override
      public float getQuadraticKappa() {
        return quadraticKappa_;
      }
      /**
       *
       *
       * <pre>
       * Output only. Quadratic weighted kappa. Only set for the overall model
       * evaluation, not for evaluation of a single annotation spec.
       * </pre>
       *
       * <code>float quadratic_kappa = 7;</code>
       *
       * @param value The quadraticKappa to set.
       * @return This builder for chaining.
       */
      public Builder setQuadraticKappa(float value) {

        quadraticKappa_ = value;
        bitField0_ |= 0x00000040;
        onChanged();
        return this;
      }
      /**
       *
       *
       * <pre>
       * Output only. Quadratic weighted kappa. Only set for the overall model
       * evaluation, not for evaluation of a single annotation spec.
       * </pre>
       *
       * <code>float quadratic_kappa = 7;</code>
       *
       * @return This builder for chaining.
       */
      public Builder clearQuadraticKappa() {
        bitField0_ = (bitField0_ & ~0x00000040);
        quadraticKappa_ = 0F;
        onChanged();
        return this;
      }

      private com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
              .ConfusionMatrix
          confusionMatrix_;
      private com.google.protobuf.SingleFieldBuilderV3<
              com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
                  .ConfusionMatrix,
              com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
                  .ConfusionMatrix.Builder,
              com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
                  .ConfusionMatrixOrBuilder>
          confusionMatrixBuilder_;
      /**
       *
       *
       * <pre>
       * Output only. Confusion matrix of the evaluation.
       * Only set for the overall model evaluation, not for evaluation of a single
       * annotation spec.
       * </pre>
       *
       * <code>
       * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;
       * </code>
       *
       * @return Whether the confusionMatrix field is set.
       */
      public boolean hasConfusionMatrix() {
        return ((bitField0_ & 0x00000080) != 0);
      }
      /**
       *
       *
       * <pre>
       * Output only. Confusion matrix of the evaluation.
       * Only set for the overall model evaluation, not for evaluation of a single
       * annotation spec.
       * </pre>
       *
       * <code>
       * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;
       * </code>
       *
       * @return The confusionMatrix.
       */
      public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
              .ConfusionMatrix
          getConfusionMatrix() {
        if (confusionMatrixBuilder_ == null) {
          return confusionMatrix_ == null
              ? com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
                  .ConfusionMatrix.getDefaultInstance()
              : confusionMatrix_;
        } else {
          return confusionMatrixBuilder_.getMessage();
        }
      }
      /**
       *
       *
       * <pre>
       * Output only. Confusion matrix of the evaluation.
       * Only set for the overall model evaluation, not for evaluation of a single
       * annotation spec.
       * </pre>
       *
       * <code>
       * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;
       * </code>
       */
      public Builder setConfusionMatrix(
          com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
                  .ConfusionMatrix
              value) {
        if (confusionMatrixBuilder_ == null) {
          if (value == null) {
            throw new NullPointerException();
          }
          confusionMatrix_ = value;
        } else {
          confusionMatrixBuilder_.setMessage(value);
        }
        bitField0_ |= 0x00000080;
        onChanged();
        return this;
      }
      /**
       *
       *
       * <pre>
       * Output only. Confusion matrix of the evaluation.
       * Only set for the overall model evaluation, not for evaluation of a single
       * annotation spec.
       * </pre>
       *
       * <code>
       * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;
       * </code>
       */
      public Builder setConfusionMatrix(
          com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
                  .ConfusionMatrix.Builder
              builderForValue) {
        if (confusionMatrixBuilder_ == null) {
          confusionMatrix_ = builderForValue.build();
        } else {
          confusionMatrixBuilder_.setMessage(builderForValue.build());
        }
        bitField0_ |= 0x00000080;
        onChanged();
        return this;
      }
      /**
       *
       *
       * <pre>
       * Output only. Confusion matrix of the evaluation.
       * Only set for the overall model evaluation, not for evaluation of a single
       * annotation spec.
       * </pre>
       *
       * <code>
       * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;
       * </code>
       */
      public Builder mergeConfusionMatrix(
          com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
                  .ConfusionMatrix
              value) {
        if (confusionMatrixBuilder_ == null) {
          if (((bitField0_ & 0x00000080) != 0)
              && confusionMatrix_ != null
              && confusionMatrix_
                  != com.google.cloud.automl.v1beta1.ClassificationProto
                      .ClassificationEvaluationMetrics.ConfusionMatrix.getDefaultInstance()) {
            getConfusionMatrixBuilder().mergeFrom(value);
          } else {
            confusionMatrix_ = value;
          }
        } else {
          confusionMatrixBuilder_.mergeFrom(value);
        }
        bitField0_ |= 0x00000080;
        onChanged();
        return this;
      }
      /**
       *
       *
       * <pre>
       * Output only. Confusion matrix of the evaluation.
       * Only set for the overall model evaluation, not for evaluation of a single
       * annotation spec.
       * </pre>
       *
       * <code>
       * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;
       * </code>
       */
      public Builder clearConfusionMatrix() {
        bitField0_ = (bitField0_ & ~0x00000080);
        confusionMatrix_ = null;
        if (confusionMatrixBuilder_ != null) {
          confusionMatrixBuilder_.dispose();
          confusionMatrixBuilder_ = null;
        }
        onChanged();
        return this;
      }
      /**
       *
       *
       * <pre>
       * Output only. Confusion matrix of the evaluation.
       * Only set for the overall model evaluation, not for evaluation of a single
       * annotation spec.
       * </pre>
       *
       * <code>
       * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;
       * </code>
       */
      public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
              .ConfusionMatrix.Builder
          getConfusionMatrixBuilder() {
        bitField0_ |= 0x00000080;
        onChanged();
        return getConfusionMatrixFieldBuilder().getBuilder();
      }
      /**
       *
       *
       * <pre>
       * Output only. Confusion matrix of the evaluation.
       * Only set for the overall model evaluation, not for evaluation of a single
       * annotation spec.
       * </pre>
       *
       * <code>
       * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;
       * </code>
       */
      public com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
              .ConfusionMatrixOrBuilder
          getConfusionMatrixOrBuilder() {
        if (confusionMatrixBuilder_ != null) {
          return confusionMatrixBuilder_.getMessageOrBuilder();
        } else {
          return confusionMatrix_ == null
              ? com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
                  .ConfusionMatrix.getDefaultInstance()
              : confusionMatrix_;
        }
      }
      /**
       *
       *
       * <pre>
       * Output only. Confusion matrix of the evaluation.
       * Only set for the overall model evaluation, not for evaluation of a single
       * annotation spec.
       * </pre>
       *
       * <code>
       * .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 8;
       * </code>
       */
      private com.google.protobuf.SingleFieldBuilderV3<
              com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
                  .ConfusionMatrix,
              com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
                  .ConfusionMatrix.Builder,
              com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics
                  .ConfusionMatrixOrBuilder>
          getConfusionMatrixFieldBuilder() {
        if (confusionMatrixBuilder_ == null) {
          confusionMatrixBuilder_ =
              new com.google.protobuf.SingleFieldBuilderV3<
                  com.google.cloud.automl.v1beta1.ClassificationProto
                      .ClassificationEvaluationMetrics.ConfusionMatrix,
                  com.google.cloud.automl.v1beta1.ClassificationProto
                      .ClassificationEvaluationMetrics.ConfusionMatrix.Builder,
                  com.google.cloud.automl.v1beta1.ClassificationProto
                      .ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder>(
                  getConfusionMatrix(), getParentForChildren(), isClean());
          confusionMatrix_ = null;
        }
        return confusionMatrixBuilder_;
      }

      private com.google.protobuf.LazyStringList annotationSpecId_ =
          com.google.protobuf.LazyStringArrayList.EMPTY;

      private void ensureAnnotationSpecIdIsMutable() {
        if (!((bitField0_ & 0x00000100) != 0)) {
          annotationSpecId_ = new com.google.protobuf.LazyStringArrayList(annotationSpecId_);
          bitField0_ |= 0x00000100;
        }
      }
      /**
       *
       *
       * <pre>
       * Output only. The annotation spec ids used for this evaluation.
       * Deprecated .
       * </pre>
       *
       * <code>repeated string annotation_spec_id = 9 [deprecated = true];</code>
       *
       * @deprecated google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id
       *     is deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=77
       * @return A list containing the annotationSpecId.
       */
      @java.lang.Deprecated
      public com.google.protobuf.ProtocolStringList getAnnotationSpecIdList() {
        return annotationSpecId_.getUnmodifiableView();
      }
      /**
       *
       *
       * <pre>
       * Output only. The annotation spec ids used for this evaluation.
       * Deprecated .
       * </pre>
       *
       * <code>repeated string annotation_spec_id = 9 [deprecated = true];</code>
       *
       * @deprecated google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id
       *     is deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=77
       * @return The count of annotationSpecId.
       */
      @java.lang.Deprecated
      public int getAnnotationSpecIdCount() {
        return annotationSpecId_.size();
      }
      /**
       *
       *
       * <pre>
       * Output only. The annotation spec ids used for this evaluation.
       * Deprecated .
       * </pre>
       *
       * <code>repeated string annotation_spec_id = 9 [deprecated = true];</code>
       *
       * @deprecated google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id
       *     is deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=77
       * @param index The index of the element to return.
       * @return The annotationSpecId at the given index.
       */
      @java.lang.Deprecated
      public java.lang.String getAnnotationSpecId(int index) {
        return annotationSpecId_.get(index);
      }
      /**
       *
       *
       * <pre>
       * Output only. The annotation spec ids used for this evaluation.
       * Deprecated .
       * </pre>
       *
       * <code>repeated string annotation_spec_id = 9 [deprecated = true];</code>
       *
       * @deprecated google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id
       *     is deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=77
       * @param index The index of the value to return.
       * @return The bytes of the annotationSpecId at the given index.
       */
      @java.lang.Deprecated
      public com.google.protobuf.ByteString getAnnotationSpecIdBytes(int index) {
        return annotationSpecId_.getByteString(index);
      }
      /**
       *
       *
       * <pre>
       * Output only. The annotation spec ids used for this evaluation.
       * Deprecated .
       * </pre>
       *
       * <code>repeated string annotation_spec_id = 9 [deprecated = true];</code>
       *
       * @deprecated google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id
       *     is deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=77
       * @param index The index to set the value at.
       * @param value The annotationSpecId to set.
       * @return This builder for chaining.
       */
      @java.lang.Deprecated
      public Builder setAnnotationSpecId(int index, java.lang.String value) {
        if (value == null) {
          throw new NullPointerException();
        }
        ensureAnnotationSpecIdIsMutable();
        annotationSpecId_.set(index, value);
        onChanged();
        return this;
      }
      /**
       *
       *
       * <pre>
       * Output only. The annotation spec ids used for this evaluation.
       * Deprecated .
       * </pre>
       *
       * <code>repeated string annotation_spec_id = 9 [deprecated = true];</code>
       *
       * @deprecated google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id
       *     is deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=77
       * @param value The annotationSpecId to add.
       * @return This builder for chaining.
       */
      @java.lang.Deprecated
      public Builder addAnnotationSpecId(java.lang.String value) {
        if (value == null) {
          throw new NullPointerException();
        }
        ensureAnnotationSpecIdIsMutable();
        annotationSpecId_.add(value);
        onChanged();
        return this;
      }
      /**
       *
       *
       * <pre>
       * Output only. The annotation spec ids used for this evaluation.
       * Deprecated .
       * </pre>
       *
       * <code>repeated string annotation_spec_id = 9 [deprecated = true];</code>
       *
       * @deprecated google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id
       *     is deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=77
       * @param values The annotationSpecId to add.
       * @return This builder for chaining.
       */
      @java.lang.Deprecated
      public Builder addAllAnnotationSpecId(java.lang.Iterable<java.lang.String> values) {
        ensureAnnotationSpecIdIsMutable();
        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, annotationSpecId_);
        onChanged();
        return this;
      }
      /**
       *
       *
       * <pre>
       * Output only. The annotation spec ids used for this evaluation.
       * Deprecated .
       * </pre>
       *
       * <code>repeated string annotation_spec_id = 9 [deprecated = true];</code>
       *
       * @deprecated google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id
       *     is deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=77
       * @return This builder for chaining.
       */
      @java.lang.Deprecated
      public Builder clearAnnotationSpecId() {
        annotationSpecId_ = com.google.protobuf.LazyStringArrayList.EMPTY;
        bitField0_ = (bitField0_ & ~0x00000100);
        onChanged();
        return this;
      }
      /**
       *
       *
       * <pre>
       * Output only. The annotation spec ids used for this evaluation.
       * Deprecated .
       * </pre>
       *
       * <code>repeated string annotation_spec_id = 9 [deprecated = true];</code>
       *
       * @deprecated google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics.annotation_spec_id
       *     is deprecated. See google/cloud/automl/v1beta1/text_sentiment.proto;l=77
       * @param value The bytes of the annotationSpecId to add.
       * @return This builder for chaining.
       */
      @java.lang.Deprecated
      public Builder addAnnotationSpecIdBytes(com.google.protobuf.ByteString value) {
        if (value == null) {
          throw new NullPointerException();
        }
        checkByteStringIsUtf8(value);
        ensureAnnotationSpecIdIsMutable();
        annotationSpecId_.add(value);
        onChanged();
        return this;
      }

      @java.lang.Override
      public final Builder setUnknownFields(
          final com.google.protobuf.UnknownFieldSet unknownFields) {
        return super.setUnknownFields(unknownFields);
      }

      @java.lang.Override
      public final Builder mergeUnknownFields(
          final com.google.protobuf.UnknownFieldSet unknownFields) {
        return super.mergeUnknownFields(unknownFields);
      }

      // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics)
    }

    // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics)
    private static final com.google.cloud.automl.v1beta1.TextSentimentProto
            .TextSentimentEvaluationMetrics
        DEFAULT_INSTANCE;

    static {
      DEFAULT_INSTANCE =
          new com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics();
    }

    public static com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
        getDefaultInstance() {
      return DEFAULT_INSTANCE;
    }

    private static final com.google.protobuf.Parser<TextSentimentEvaluationMetrics> PARSER =
        new com.google.protobuf.AbstractParser<TextSentimentEvaluationMetrics>() {
          @java.lang.Override
          public TextSentimentEvaluationMetrics parsePartialFrom(
              com.google.protobuf.CodedInputStream input,
              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
              throws com.google.protobuf.InvalidProtocolBufferException {
            Builder builder = newBuilder();
            try {
              builder.mergeFrom(input, extensionRegistry);
            } catch (com.google.protobuf.InvalidProtocolBufferException e) {
              throw e.setUnfinishedMessage(builder.buildPartial());
            } catch (com.google.protobuf.UninitializedMessageException e) {
              throw e.asInvalidProtocolBufferException()
                  .setUnfinishedMessage(builder.buildPartial());
            } catch (java.io.IOException e) {
              throw new com.google.protobuf.InvalidProtocolBufferException(e)
                  .setUnfinishedMessage(builder.buildPartial());
            }
            return builder.buildPartial();
          }
        };

    public static com.google.protobuf.Parser<TextSentimentEvaluationMetrics> parser() {
      return PARSER;
    }

    @java.lang.Override
    public com.google.protobuf.Parser<TextSentimentEvaluationMetrics> getParserForType() {
      return PARSER;
    }

    @java.lang.Override
    public com.google.cloud.automl.v1beta1.TextSentimentProto.TextSentimentEvaluationMetrics
        getDefaultInstanceForType() {
      return DEFAULT_INSTANCE;
    }
  }

  private static final com.google.protobuf.Descriptors.Descriptor
      internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_descriptor;
  private static final com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
      internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_fieldAccessorTable;
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      internal_static_google_cloud_automl_v1beta1_TextSentimentEvaluationMetrics_descriptor;
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  static {
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        getDescriptor().getMessageTypes().get(0);
    internal_static_google_cloud_automl_v1beta1_TextSentimentAnnotation_fieldAccessorTable =
        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
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            });
    internal_static_google_cloud_automl_v1beta1_TextSentimentEvaluationMetrics_descriptor =
        getDescriptor().getMessageTypes().get(1);
    internal_static_google_cloud_automl_v1beta1_TextSentimentEvaluationMetrics_fieldAccessorTable =
        new com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
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              "Recall",
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              "MeanSquaredError",
              "LinearKappa",
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              "ConfusionMatrix",
              "AnnotationSpecId",
            });
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  // @@protoc_insertion_point(outer_class_scope)
}