Package com.google.cloud.automl.v1beta1

Class TablesModelColumnInfo.Builder

  • All Implemented Interfaces:
    TablesModelColumnInfoOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
    Enclosing class:
    TablesModelColumnInfo
    public static final class TablesModelColumnInfo.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<TablesModelColumnInfo.Builder>
implements TablesModelColumnInfoOrBuilder
     An information specific to given column and Tables Model, in context
 of the Model and the predictions created by it.
    Protobuf type google.cloud.automl.v1beta1.TablesModelColumnInfo

    • 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<TablesModelColumnInfo.Builder>

      • clear

        public TablesModelColumnInfo.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<TablesModelColumnInfo.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<TablesModelColumnInfo.Builder>

      • getDefaultInstanceForType

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

      • build

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

      • buildPartial

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

      • clone

        public TablesModelColumnInfo.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<TablesModelColumnInfo.Builder>

      • clearField

        public TablesModelColumnInfo.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<TablesModelColumnInfo.Builder>

      • clearOneof

        public TablesModelColumnInfo.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<TablesModelColumnInfo.Builder>

      • setRepeatedField

        public TablesModelColumnInfo.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<TablesModelColumnInfo.Builder>

      • addRepeatedField

        public TablesModelColumnInfo.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<TablesModelColumnInfo.Builder>

      • isInitialized

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

      • mergeFrom

        public TablesModelColumnInfo.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<TablesModelColumnInfo.Builder>
        Throws:
        IOException

      • getColumnSpecName

        public String getColumnSpecName()
         Output only. The name of the ColumnSpec describing the column. Not
 populated when this proto is outputted to BigQuery.
        string column_spec_name = 1;
        Specified by:
        getColumnSpecName in interface TablesModelColumnInfoOrBuilder
        Returns:
        The columnSpecName.

      • getColumnSpecNameBytes

        public com.google.protobuf.ByteString getColumnSpecNameBytes()
         Output only. The name of the ColumnSpec describing the column. Not
 populated when this proto is outputted to BigQuery.
        string column_spec_name = 1;
        Specified by:
        getColumnSpecNameBytes in interface TablesModelColumnInfoOrBuilder
        Returns:
        The bytes for columnSpecName.

      • setColumnSpecName

        public TablesModelColumnInfo.Builder setColumnSpecName​(String value)
         Output only. The name of the ColumnSpec describing the column. Not
 populated when this proto is outputted to BigQuery.
        string column_spec_name = 1;
        Parameters:
        value - The columnSpecName to set.
        Returns:
        This builder for chaining.

      • clearColumnSpecName

        public TablesModelColumnInfo.Builder clearColumnSpecName()
         Output only. The name of the ColumnSpec describing the column. Not
 populated when this proto is outputted to BigQuery.
        string column_spec_name = 1;
        Returns:
        This builder for chaining.

      • setColumnSpecNameBytes

        public TablesModelColumnInfo.Builder setColumnSpecNameBytes​(com.google.protobuf.ByteString value)
         Output only. The name of the ColumnSpec describing the column. Not
 populated when this proto is outputted to BigQuery.
        string column_spec_name = 1;
        Parameters:
        value - The bytes for columnSpecName to set.
        Returns:
        This builder for chaining.

      • getColumnDisplayName

        public String getColumnDisplayName()
         Output only. The display name of the column (same as the display_name of
 its ColumnSpec).
        string column_display_name = 2;
        Specified by:
        getColumnDisplayName in interface TablesModelColumnInfoOrBuilder
        Returns:
        The columnDisplayName.

      • getColumnDisplayNameBytes

        public com.google.protobuf.ByteString getColumnDisplayNameBytes()
         Output only. The display name of the column (same as the display_name of
 its ColumnSpec).
        string column_display_name = 2;
        Specified by:
        getColumnDisplayNameBytes in interface TablesModelColumnInfoOrBuilder
        Returns:
        The bytes for columnDisplayName.

      • setColumnDisplayName

        public TablesModelColumnInfo.Builder setColumnDisplayName​(String value)
         Output only. The display name of the column (same as the display_name of
 its ColumnSpec).
        string column_display_name = 2;
        Parameters:
        value - The columnDisplayName to set.
        Returns:
        This builder for chaining.

      • clearColumnDisplayName

        public TablesModelColumnInfo.Builder clearColumnDisplayName()
         Output only. The display name of the column (same as the display_name of
 its ColumnSpec).
        string column_display_name = 2;
        Returns:
        This builder for chaining.

      • setColumnDisplayNameBytes

        public TablesModelColumnInfo.Builder setColumnDisplayNameBytes​(com.google.protobuf.ByteString value)
         Output only. The display name of the column (same as the display_name of
 its ColumnSpec).
        string column_display_name = 2;
        Parameters:
        value - The bytes for columnDisplayName to set.
        Returns:
        This builder for chaining.

      • getFeatureImportance

        public float getFeatureImportance()
         Output only. When given as part of a Model (always populated):
 Measurement of how much model predictions correctness on the TEST data
 depend on values in this column. A value between 0 and 1, higher means
 higher influence. These values are normalized - for all input feature
 columns of a given model they add to 1.

 When given back by Predict (populated iff
 [feature_importance
 param][google.cloud.automl.v1beta1.PredictRequest.params] is set) or Batch
 Predict (populated iff
 [feature_importance][google.cloud.automl.v1beta1.PredictRequest.params]
 param is set):
 Measurement of how impactful for the prediction returned for the given row
 the value in this column was. Specifically, the feature importance
 specifies the marginal contribution that the feature made to the prediction
 score compared to the baseline score. These values are computed using the
 Sampled Shapley method.
        float feature_importance = 3;
        Specified by:
        getFeatureImportance in interface TablesModelColumnInfoOrBuilder
        Returns:
        The featureImportance.

      • setFeatureImportance

        public TablesModelColumnInfo.Builder setFeatureImportance​(float value)
         Output only. When given as part of a Model (always populated):
 Measurement of how much model predictions correctness on the TEST data
 depend on values in this column. A value between 0 and 1, higher means
 higher influence. These values are normalized - for all input feature
 columns of a given model they add to 1.

 When given back by Predict (populated iff
 [feature_importance
 param][google.cloud.automl.v1beta1.PredictRequest.params] is set) or Batch
 Predict (populated iff
 [feature_importance][google.cloud.automl.v1beta1.PredictRequest.params]
 param is set):
 Measurement of how impactful for the prediction returned for the given row
 the value in this column was. Specifically, the feature importance
 specifies the marginal contribution that the feature made to the prediction
 score compared to the baseline score. These values are computed using the
 Sampled Shapley method.
        float feature_importance = 3;
        Parameters:
        value - The featureImportance to set.
        Returns:
        This builder for chaining.

      • clearFeatureImportance

        public TablesModelColumnInfo.Builder clearFeatureImportance()
         Output only. When given as part of a Model (always populated):
 Measurement of how much model predictions correctness on the TEST data
 depend on values in this column. A value between 0 and 1, higher means
 higher influence. These values are normalized - for all input feature
 columns of a given model they add to 1.

 When given back by Predict (populated iff
 [feature_importance
 param][google.cloud.automl.v1beta1.PredictRequest.params] is set) or Batch
 Predict (populated iff
 [feature_importance][google.cloud.automl.v1beta1.PredictRequest.params]
 param is set):
 Measurement of how impactful for the prediction returned for the given row
 the value in this column was. Specifically, the feature importance
 specifies the marginal contribution that the feature made to the prediction
 score compared to the baseline score. These values are computed using the
 Sampled Shapley method.
        float feature_importance = 3;
        Returns:
        This builder for chaining.

      • setUnknownFields

        public final TablesModelColumnInfo.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<TablesModelColumnInfo.Builder>

      • mergeUnknownFields

        public final TablesModelColumnInfo.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<TablesModelColumnInfo.Builder>