Package com.google.cloud.automl.v1beta1

Class TablesAnnotation.Builder

  • All Implemented Interfaces:
    TablesAnnotationOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
    Enclosing class:
    TablesAnnotation
    public static final class TablesAnnotation.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<TablesAnnotation.Builder>
implements TablesAnnotationOrBuilder
     Contains annotation details specific to Tables.
    Protobuf type google.cloud.automl.v1beta1.TablesAnnotation

    • 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<TablesAnnotation.Builder>

      • clear

        public TablesAnnotation.Builder clear()
        Specified by:
        clear in interface com.google.protobuf.Message.Builder
        Specified by:
        clear in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        clear in class com.google.protobuf.GeneratedMessageV3.Builder<TablesAnnotation.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<TablesAnnotation.Builder>

      • getDefaultInstanceForType

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

      • build

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

      • buildPartial

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

      • clone

        public TablesAnnotation.Builder clone()
        Specified by:
        clone in interface com.google.protobuf.Message.Builder
        Specified by:
        clone in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        clone in class com.google.protobuf.GeneratedMessageV3.Builder<TablesAnnotation.Builder>

      • setField

        public TablesAnnotation.Builder setField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                         Object value)
        Specified by:
        setField in interface com.google.protobuf.Message.Builder
        Overrides:
        setField in class com.google.protobuf.GeneratedMessageV3.Builder<TablesAnnotation.Builder>

      • clearField

        public TablesAnnotation.Builder clearField​(com.google.protobuf.Descriptors.FieldDescriptor field)
        Specified by:
        clearField in interface com.google.protobuf.Message.Builder
        Overrides:
        clearField in class com.google.protobuf.GeneratedMessageV3.Builder<TablesAnnotation.Builder>

      • clearOneof

        public TablesAnnotation.Builder clearOneof​(com.google.protobuf.Descriptors.OneofDescriptor oneof)
        Specified by:
        clearOneof in interface com.google.protobuf.Message.Builder
        Overrides:
        clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<TablesAnnotation.Builder>

      • setRepeatedField

        public TablesAnnotation.Builder setRepeatedField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                 int index,
                                                 Object value)
        Specified by:
        setRepeatedField in interface com.google.protobuf.Message.Builder
        Overrides:
        setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<TablesAnnotation.Builder>

      • addRepeatedField

        public TablesAnnotation.Builder addRepeatedField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                 Object value)
        Specified by:
        addRepeatedField in interface com.google.protobuf.Message.Builder
        Overrides:
        addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<TablesAnnotation.Builder>

      • mergeFrom

        public TablesAnnotation.Builder mergeFrom​(com.google.protobuf.Message other)
        Specified by:
        mergeFrom in interface com.google.protobuf.Message.Builder
        Overrides:
        mergeFrom in class com.google.protobuf.AbstractMessage.Builder<TablesAnnotation.Builder>

      • isInitialized

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

      • mergeFrom

        public TablesAnnotation.Builder mergeFrom​(com.google.protobuf.CodedInputStream input,
                                          com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                   throws IOException
        Specified by:
        mergeFrom in interface com.google.protobuf.Message.Builder
        Specified by:
        mergeFrom in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        mergeFrom in class com.google.protobuf.AbstractMessage.Builder<TablesAnnotation.Builder>
        Throws:
        IOException

      • getScore

        public float getScore()
         Output only. A confidence estimate between 0.0 and 1.0, inclusive. A higher
 value means greater confidence in the returned value.
 For

 [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
 of FLOAT64 data type the score is not populated.
        float score = 1;
        Specified by:
        getScore in interface TablesAnnotationOrBuilder
        Returns:
        The score.

      • setScore

        public TablesAnnotation.Builder setScore​(float value)
         Output only. A confidence estimate between 0.0 and 1.0, inclusive. A higher
 value means greater confidence in the returned value.
 For

 [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
 of FLOAT64 data type the score is not populated.
        float score = 1;
        Parameters:
        value - The score to set.
        Returns:
        This builder for chaining.

      • clearScore

        public TablesAnnotation.Builder clearScore()
         Output only. A confidence estimate between 0.0 and 1.0, inclusive. A higher
 value means greater confidence in the returned value.
 For

 [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
 of FLOAT64 data type the score is not populated.
        float score = 1;
        Returns:
        This builder for chaining.

      • hasPredictionInterval

        public boolean hasPredictionInterval()
         Output only. Only populated when

 [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
 has FLOAT64 data type. An interval in which the exactly correct target
 value has 95% chance to be in.
        .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4;
        Specified by:
        hasPredictionInterval in interface TablesAnnotationOrBuilder
        Returns:
        Whether the predictionInterval field is set.

      • getPredictionInterval

        public DoubleRange getPredictionInterval()
         Output only. Only populated when

 [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
 has FLOAT64 data type. An interval in which the exactly correct target
 value has 95% chance to be in.
        .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4;
        Specified by:
        getPredictionInterval in interface TablesAnnotationOrBuilder
        Returns:
        The predictionInterval.

      • setPredictionInterval

        public TablesAnnotation.Builder setPredictionInterval​(DoubleRange value)
         Output only. Only populated when

 [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
 has FLOAT64 data type. An interval in which the exactly correct target
 value has 95% chance to be in.
        .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4;

      • setPredictionInterval

        public TablesAnnotation.Builder setPredictionInterval​(DoubleRange.Builder builderForValue)
         Output only. Only populated when

 [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
 has FLOAT64 data type. An interval in which the exactly correct target
 value has 95% chance to be in.
        .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4;

      • mergePredictionInterval

        public TablesAnnotation.Builder mergePredictionInterval​(DoubleRange value)
         Output only. Only populated when

 [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
 has FLOAT64 data type. An interval in which the exactly correct target
 value has 95% chance to be in.
        .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4;

      • clearPredictionInterval

        public TablesAnnotation.Builder clearPredictionInterval()
         Output only. Only populated when

 [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
 has FLOAT64 data type. An interval in which the exactly correct target
 value has 95% chance to be in.
        .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4;

      • getPredictionIntervalBuilder

        public DoubleRange.Builder getPredictionIntervalBuilder()
         Output only. Only populated when

 [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
 has FLOAT64 data type. An interval in which the exactly correct target
 value has 95% chance to be in.
        .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4;

      • getPredictionIntervalOrBuilder

        public DoubleRangeOrBuilder getPredictionIntervalOrBuilder()
         Output only. Only populated when

 [target_column_spec][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec]
 has FLOAT64 data type. An interval in which the exactly correct target
 value has 95% chance to be in.
        .google.cloud.automl.v1beta1.DoubleRange prediction_interval = 4;
        Specified by:
        getPredictionIntervalOrBuilder in interface TablesAnnotationOrBuilder

      • hasValue

        public boolean hasValue()
         The predicted value of the row's

 [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
 The value depends on the column's DataType:

 * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
   value.

 * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
        .google.protobuf.Value value = 2;
        Specified by:
        hasValue in interface TablesAnnotationOrBuilder
        Returns:
        Whether the value field is set.

      • getValue

        public com.google.protobuf.Value getValue()
         The predicted value of the row's

 [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
 The value depends on the column's DataType:

 * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
   value.

 * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
        .google.protobuf.Value value = 2;
        Specified by:
        getValue in interface TablesAnnotationOrBuilder
        Returns:
        The value.

      • setValue

        public TablesAnnotation.Builder setValue​(com.google.protobuf.Value value)
         The predicted value of the row's

 [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
 The value depends on the column's DataType:

 * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
   value.

 * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
        .google.protobuf.Value value = 2;

      • setValue

        public TablesAnnotation.Builder setValue​(com.google.protobuf.Value.Builder builderForValue)
         The predicted value of the row's

 [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
 The value depends on the column's DataType:

 * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
   value.

 * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
        .google.protobuf.Value value = 2;

      • mergeValue

        public TablesAnnotation.Builder mergeValue​(com.google.protobuf.Value value)
         The predicted value of the row's

 [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
 The value depends on the column's DataType:

 * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
   value.

 * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
        .google.protobuf.Value value = 2;

      • clearValue

        public TablesAnnotation.Builder clearValue()
         The predicted value of the row's

 [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
 The value depends on the column's DataType:

 * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
   value.

 * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
        .google.protobuf.Value value = 2;

      • getValueBuilder

        public com.google.protobuf.Value.Builder getValueBuilder()
         The predicted value of the row's

 [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
 The value depends on the column's DataType:

 * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
   value.

 * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
        .google.protobuf.Value value = 2;

      • getValueOrBuilder

        public com.google.protobuf.ValueOrBuilder getValueOrBuilder()
         The predicted value of the row's

 [target_column][google.cloud.automl.v1beta1.TablesModelMetadata.target_column_spec].
 The value depends on the column's DataType:

 * CATEGORY - the predicted (with the above confidence `score`) CATEGORY
   value.

 * FLOAT64 - the predicted (with above `prediction_interval`) FLOAT64 value.
        .google.protobuf.Value value = 2;
        Specified by:
        getValueOrBuilder in interface TablesAnnotationOrBuilder

      • getTablesModelColumnInfoList

        public List<TablesModelColumnInfo> getTablesModelColumnInfoList()
         Output only. Auxiliary information for each of the model's

 [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
 with respect to this particular prediction.
 If no other fields than

 [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
 and

 [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
 would be populated, then this whole field is not.
        repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
        Specified by:
        getTablesModelColumnInfoList in interface TablesAnnotationOrBuilder

      • getTablesModelColumnInfoCount

        public int getTablesModelColumnInfoCount()
         Output only. Auxiliary information for each of the model's

 [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
 with respect to this particular prediction.
 If no other fields than

 [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
 and

 [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
 would be populated, then this whole field is not.
        repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
        Specified by:
        getTablesModelColumnInfoCount in interface TablesAnnotationOrBuilder

      • getTablesModelColumnInfo

        public TablesModelColumnInfo getTablesModelColumnInfo​(int index)
         Output only. Auxiliary information for each of the model's

 [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
 with respect to this particular prediction.
 If no other fields than

 [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
 and

 [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
 would be populated, then this whole field is not.
        repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
        Specified by:
        getTablesModelColumnInfo in interface TablesAnnotationOrBuilder

      • setTablesModelColumnInfo

        public TablesAnnotation.Builder setTablesModelColumnInfo​(int index,
                                                         TablesModelColumnInfo value)
         Output only. Auxiliary information for each of the model's

 [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
 with respect to this particular prediction.
 If no other fields than

 [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
 and

 [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
 would be populated, then this whole field is not.
        repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

      • setTablesModelColumnInfo

        public TablesAnnotation.Builder setTablesModelColumnInfo​(int index,
                                                         TablesModelColumnInfo.Builder builderForValue)
         Output only. Auxiliary information for each of the model's

 [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
 with respect to this particular prediction.
 If no other fields than

 [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
 and

 [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
 would be populated, then this whole field is not.
        repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

      • addTablesModelColumnInfo

        public TablesAnnotation.Builder addTablesModelColumnInfo​(TablesModelColumnInfo value)
         Output only. Auxiliary information for each of the model's

 [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
 with respect to this particular prediction.
 If no other fields than

 [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
 and

 [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
 would be populated, then this whole field is not.
        repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

      • addTablesModelColumnInfo

        public TablesAnnotation.Builder addTablesModelColumnInfo​(int index,
                                                         TablesModelColumnInfo value)
         Output only. Auxiliary information for each of the model's

 [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
 with respect to this particular prediction.
 If no other fields than

 [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
 and

 [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
 would be populated, then this whole field is not.
        repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

      • addTablesModelColumnInfo

        public TablesAnnotation.Builder addTablesModelColumnInfo​(TablesModelColumnInfo.Builder builderForValue)
         Output only. Auxiliary information for each of the model's

 [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
 with respect to this particular prediction.
 If no other fields than

 [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
 and

 [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
 would be populated, then this whole field is not.
        repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

      • addTablesModelColumnInfo

        public TablesAnnotation.Builder addTablesModelColumnInfo​(int index,
                                                         TablesModelColumnInfo.Builder builderForValue)
         Output only. Auxiliary information for each of the model's

 [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
 with respect to this particular prediction.
 If no other fields than

 [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
 and

 [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
 would be populated, then this whole field is not.
        repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

      • addAllTablesModelColumnInfo

        public TablesAnnotation.Builder addAllTablesModelColumnInfo​(Iterable<? extends TablesModelColumnInfo> values)
         Output only. Auxiliary information for each of the model's

 [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
 with respect to this particular prediction.
 If no other fields than

 [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
 and

 [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
 would be populated, then this whole field is not.
        repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

      • clearTablesModelColumnInfo

        public TablesAnnotation.Builder clearTablesModelColumnInfo()
         Output only. Auxiliary information for each of the model's

 [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
 with respect to this particular prediction.
 If no other fields than

 [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
 and

 [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
 would be populated, then this whole field is not.
        repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

      • removeTablesModelColumnInfo

        public TablesAnnotation.Builder removeTablesModelColumnInfo​(int index)
         Output only. Auxiliary information for each of the model's

 [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
 with respect to this particular prediction.
 If no other fields than

 [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
 and

 [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
 would be populated, then this whole field is not.
        repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

      • getTablesModelColumnInfoBuilder

        public TablesModelColumnInfo.Builder getTablesModelColumnInfoBuilder​(int index)
         Output only. Auxiliary information for each of the model's

 [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
 with respect to this particular prediction.
 If no other fields than

 [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
 and

 [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
 would be populated, then this whole field is not.
        repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

      • getTablesModelColumnInfoOrBuilder

        public TablesModelColumnInfoOrBuilder getTablesModelColumnInfoOrBuilder​(int index)
         Output only. Auxiliary information for each of the model's

 [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
 with respect to this particular prediction.
 If no other fields than

 [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
 and

 [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
 would be populated, then this whole field is not.
        repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
        Specified by:
        getTablesModelColumnInfoOrBuilder in interface TablesAnnotationOrBuilder

      • getTablesModelColumnInfoOrBuilderList

        public List<? extends TablesModelColumnInfoOrBuilder> getTablesModelColumnInfoOrBuilderList()
         Output only. Auxiliary information for each of the model's

 [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
 with respect to this particular prediction.
 If no other fields than

 [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
 and

 [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
 would be populated, then this whole field is not.
        repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;
        Specified by:
        getTablesModelColumnInfoOrBuilderList in interface TablesAnnotationOrBuilder

      • addTablesModelColumnInfoBuilder

        public TablesModelColumnInfo.Builder addTablesModelColumnInfoBuilder()
         Output only. Auxiliary information for each of the model's

 [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
 with respect to this particular prediction.
 If no other fields than

 [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
 and

 [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
 would be populated, then this whole field is not.
        repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

      • addTablesModelColumnInfoBuilder

        public TablesModelColumnInfo.Builder addTablesModelColumnInfoBuilder​(int index)
         Output only. Auxiliary information for each of the model's

 [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
 with respect to this particular prediction.
 If no other fields than

 [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
 and

 [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
 would be populated, then this whole field is not.
        repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

      • getTablesModelColumnInfoBuilderList

        public List<TablesModelColumnInfo.Builder> getTablesModelColumnInfoBuilderList()
         Output only. Auxiliary information for each of the model's

 [input_feature_column_specs][google.cloud.automl.v1beta1.TablesModelMetadata.input_feature_column_specs]
 with respect to this particular prediction.
 If no other fields than

 [column_spec_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_spec_name]
 and

 [column_display_name][google.cloud.automl.v1beta1.TablesModelColumnInfo.column_display_name]
 would be populated, then this whole field is not.
        repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

      • getBaselineScore

        public float getBaselineScore()
         Output only. Stores the prediction score for the baseline example, which
 is defined as the example with all values set to their baseline values.
 This is used as part of the Sampled Shapley explanation of the model's
 prediction. This field is populated only when feature importance is
 requested. For regression models, this holds the baseline prediction for
 the baseline example. For classification models, this holds the baseline
 prediction for the baseline example for the argmax class.
        float baseline_score = 5;
        Specified by:
        getBaselineScore in interface TablesAnnotationOrBuilder
        Returns:
        The baselineScore.

      • setBaselineScore

        public TablesAnnotation.Builder setBaselineScore​(float value)
         Output only. Stores the prediction score for the baseline example, which
 is defined as the example with all values set to their baseline values.
 This is used as part of the Sampled Shapley explanation of the model's
 prediction. This field is populated only when feature importance is
 requested. For regression models, this holds the baseline prediction for
 the baseline example. For classification models, this holds the baseline
 prediction for the baseline example for the argmax class.
        float baseline_score = 5;
        Parameters:
        value - The baselineScore to set.
        Returns:
        This builder for chaining.

      • clearBaselineScore

        public TablesAnnotation.Builder clearBaselineScore()
         Output only. Stores the prediction score for the baseline example, which
 is defined as the example with all values set to their baseline values.
 This is used as part of the Sampled Shapley explanation of the model's
 prediction. This field is populated only when feature importance is
 requested. For regression models, this holds the baseline prediction for
 the baseline example. For classification models, this holds the baseline
 prediction for the baseline example for the argmax class.
        float baseline_score = 5;
        Returns:
        This builder for chaining.

      • setUnknownFields

        public final TablesAnnotation.Builder setUnknownFields​(com.google.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        setUnknownFields in interface com.google.protobuf.Message.Builder
        Overrides:
        setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<TablesAnnotation.Builder>

      • mergeUnknownFields

        public final TablesAnnotation.Builder mergeUnknownFields​(com.google.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        mergeUnknownFields in interface com.google.protobuf.Message.Builder
        Overrides:
        mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<TablesAnnotation.Builder>