Class TablesAnnotation.Builder (2.42.0)

Version 2.42.0

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public static final class TablesAnnotation.Builder extends GeneratedMessageV3.Builder<TablesAnnotation.Builder> implements TablesAnnotationOrBuilder

Contains annotation details specific to Tables.

Protobuf type google.cloud.automl.v1beta1.TablesAnnotation

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > TablesAnnotation.Builder

Implements

TablesAnnotationOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
Descriptor

Methods

addAllTablesModelColumnInfo(Iterable<? extends TablesModelColumnInfo> values)

public TablesAnnotation.Builder addAllTablesModelColumnInfo(Iterable<? extends TablesModelColumnInfo> values)

Output only. Auxiliary information for each of the model's

input_feature_column_specs with respect to this particular prediction. If no other fields than

column_spec_name and

column_display_name would be populated, then this whole field is not.

repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

Parameter
Name	Description
values	Iterable<? extends com.google.cloud.automl.v1beta1.TablesModelColumnInfo>

Returns
Type	Description
TablesAnnotation.Builder

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public TablesAnnotation.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
TablesAnnotation.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

addTablesModelColumnInfo(TablesModelColumnInfo value)

public TablesAnnotation.Builder addTablesModelColumnInfo(TablesModelColumnInfo value)

Output only. Auxiliary information for each of the model's

input_feature_column_specs with respect to this particular prediction. If no other fields than

column_spec_name and

column_display_name would be populated, then this whole field is not.

repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

Parameter
Name	Description
value	TablesModelColumnInfo

Returns
Type	Description
TablesAnnotation.Builder

addTablesModelColumnInfo(TablesModelColumnInfo.Builder builderForValue)

public TablesAnnotation.Builder addTablesModelColumnInfo(TablesModelColumnInfo.Builder builderForValue)

Output only. Auxiliary information for each of the model's

input_feature_column_specs with respect to this particular prediction. If no other fields than

column_spec_name and

column_display_name would be populated, then this whole field is not.

repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

Parameter
Name	Description
builderForValue	TablesModelColumnInfo.Builder

Returns
Type	Description
TablesAnnotation.Builder

addTablesModelColumnInfo(int index, TablesModelColumnInfo value)

public TablesAnnotation.Builder addTablesModelColumnInfo(int index, TablesModelColumnInfo value)

Output only. Auxiliary information for each of the model's

input_feature_column_specs with respect to this particular prediction. If no other fields than

column_spec_name and

column_display_name would be populated, then this whole field is not.

repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

Parameters
Name	Description
index	int
value	TablesModelColumnInfo

Returns
Type	Description
TablesAnnotation.Builder

addTablesModelColumnInfo(int index, TablesModelColumnInfo.Builder builderForValue)

public TablesAnnotation.Builder addTablesModelColumnInfo(int index, TablesModelColumnInfo.Builder builderForValue)

Output only. Auxiliary information for each of the model's

input_feature_column_specs with respect to this particular prediction. If no other fields than

column_spec_name and

column_display_name would be populated, then this whole field is not.

repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

Parameters
Name	Description
index	int
builderForValue	TablesModelColumnInfo.Builder

Returns
Type	Description
TablesAnnotation.Builder

addTablesModelColumnInfoBuilder()

public TablesModelColumnInfo.Builder addTablesModelColumnInfoBuilder()

Output only. Auxiliary information for each of the model's

input_feature_column_specs with respect to this particular prediction. If no other fields than

column_spec_name and

column_display_name would be populated, then this whole field is not.

repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

Returns
Type	Description
TablesModelColumnInfo.Builder

addTablesModelColumnInfoBuilder(int index)

public TablesModelColumnInfo.Builder addTablesModelColumnInfoBuilder(int index)

Output only. Auxiliary information for each of the model's

input_feature_column_specs with respect to this particular prediction. If no other fields than

column_spec_name and

column_display_name would be populated, then this whole field is not.

repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

Parameter
Name	Description
index	int

Returns
Type	Description
TablesModelColumnInfo.Builder

build()

public TablesAnnotation build()

Returns
Type	Description
TablesAnnotation

buildPartial()

public TablesAnnotation buildPartial()

Returns
Type	Description
TablesAnnotation

clear()

public TablesAnnotation.Builder clear()

Returns
Type	Description
TablesAnnotation.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

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
Type	Description
TablesAnnotation.Builder	This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public TablesAnnotation.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
TablesAnnotation.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

clearOneof(Descriptors.OneofDescriptor oneof)

public TablesAnnotation.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
TablesAnnotation.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

clearPredictionInterval()

public TablesAnnotation.Builder clearPredictionInterval()

Output only. Only populated when

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;

Returns
Type	Description
TablesAnnotation.Builder

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 of FLOAT64 data type the score is not populated.

float score = 1;

Returns
Type	Description
TablesAnnotation.Builder	This builder for chaining.

clearTablesModelColumnInfo()

public TablesAnnotation.Builder clearTablesModelColumnInfo()

Output only. Auxiliary information for each of the model's

input_feature_column_specs with respect to this particular prediction. If no other fields than

column_spec_name and

column_display_name would be populated, then this whole field is not.

repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

Returns
Type	Description
TablesAnnotation.Builder

clearValue()

public TablesAnnotation.Builder clearValue()

The predicted value of the row's

target_column. 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;

Returns
Type	Description
TablesAnnotation.Builder

clone()

public TablesAnnotation.Builder clone()

Returns
Type	Description
TablesAnnotation.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

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;

Returns
Type	Description
float	The baselineScore.

getDefaultInstanceForType()

public TablesAnnotation getDefaultInstanceForType()

Returns
Type	Description
TablesAnnotation

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getPredictionInterval()

public DoubleRange getPredictionInterval()

Output only. Only populated when

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;

Returns
Type	Description
DoubleRange	The predictionInterval.

getPredictionIntervalBuilder()

public DoubleRange.Builder getPredictionIntervalBuilder()

Output only. Only populated when

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;

Returns
Type	Description
DoubleRange.Builder

getPredictionIntervalOrBuilder()

public DoubleRangeOrBuilder getPredictionIntervalOrBuilder()

Output only. Only populated when

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;

Returns
Type	Description
DoubleRangeOrBuilder

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 of FLOAT64 data type the score is not populated.

float score = 1;

Returns
Type	Description
float	The score.

getTablesModelColumnInfo(int index)

public TablesModelColumnInfo getTablesModelColumnInfo(int index)

Output only. Auxiliary information for each of the model's

input_feature_column_specs with respect to this particular prediction. If no other fields than

column_spec_name and

column_display_name would be populated, then this whole field is not.

repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

Parameter
Name	Description
index	int

Returns
Type	Description
TablesModelColumnInfo

getTablesModelColumnInfoBuilder(int index)

public TablesModelColumnInfo.Builder getTablesModelColumnInfoBuilder(int index)

Output only. Auxiliary information for each of the model's

input_feature_column_specs with respect to this particular prediction. If no other fields than

column_spec_name and

column_display_name would be populated, then this whole field is not.

repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

Parameter
Name	Description
index	int

Returns
Type	Description
TablesModelColumnInfo.Builder

getTablesModelColumnInfoBuilderList()

public List<TablesModelColumnInfo.Builder> getTablesModelColumnInfoBuilderList()

Output only. Auxiliary information for each of the model's

input_feature_column_specs with respect to this particular prediction. If no other fields than

column_spec_name and

column_display_name would be populated, then this whole field is not.

repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

Returns
Type	Description
List<Builder>

getTablesModelColumnInfoCount()

public int getTablesModelColumnInfoCount()

Output only. Auxiliary information for each of the model's

input_feature_column_specs with respect to this particular prediction. If no other fields than

column_spec_name and

column_display_name would be populated, then this whole field is not.

repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

Returns
Type	Description
int

getTablesModelColumnInfoList()

public List<TablesModelColumnInfo> getTablesModelColumnInfoList()

Output only. Auxiliary information for each of the model's

input_feature_column_specs with respect to this particular prediction. If no other fields than

column_spec_name and

column_display_name would be populated, then this whole field is not.

repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

Returns
Type	Description
List<TablesModelColumnInfo>

getTablesModelColumnInfoOrBuilder(int index)

public TablesModelColumnInfoOrBuilder getTablesModelColumnInfoOrBuilder(int index)

Output only. Auxiliary information for each of the model's

input_feature_column_specs with respect to this particular prediction. If no other fields than

column_spec_name and

column_display_name would be populated, then this whole field is not.

repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

Parameter
Name	Description
index	int

Returns
Type	Description
TablesModelColumnInfoOrBuilder

getTablesModelColumnInfoOrBuilderList()

public List<? extends TablesModelColumnInfoOrBuilder> getTablesModelColumnInfoOrBuilderList()

Output only. Auxiliary information for each of the model's

input_feature_column_specs with respect to this particular prediction. If no other fields than

column_spec_name and

column_display_name would be populated, then this whole field is not.

repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

Returns
Type	Description
List<? extends com.google.cloud.automl.v1beta1.TablesModelColumnInfoOrBuilder>

getValue()

public Value getValue()

The predicted value of the row's

target_column. 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;

Returns
Type	Description
Value	The value.

getValueBuilder()

public Value.Builder getValueBuilder()

The predicted value of the row's

target_column. 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;

Returns
Type	Description
Builder

getValueOrBuilder()

public ValueOrBuilder getValueOrBuilder()

The predicted value of the row's

target_column. 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;

Returns
Type	Description
ValueOrBuilder

hasPredictionInterval()

public boolean hasPredictionInterval()

Output only. Only populated when

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;

Returns
Type	Description
boolean	Whether the predictionInterval field is set.

hasValue()

public boolean hasValue()

The predicted value of the row's

target_column. 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;

Returns
Type	Description
boolean	Whether the value field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeFrom(TablesAnnotation other)

public TablesAnnotation.Builder mergeFrom(TablesAnnotation other)

Parameter
Name	Description
other	TablesAnnotation

Returns
Type	Description
TablesAnnotation.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public TablesAnnotation.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
TablesAnnotation.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public TablesAnnotation.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
TablesAnnotation.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

mergePredictionInterval(DoubleRange value)

public TablesAnnotation.Builder mergePredictionInterval(DoubleRange value)

Output only. Only populated when

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;

Parameter
Name	Description
value	DoubleRange

Returns
Type	Description
TablesAnnotation.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final TablesAnnotation.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
TablesAnnotation.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

mergeValue(Value value)

public TablesAnnotation.Builder mergeValue(Value value)

The predicted value of the row's

target_column. 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;

Parameter
Name	Description
value	Value

Returns
Type	Description
TablesAnnotation.Builder

removeTablesModelColumnInfo(int index)

public TablesAnnotation.Builder removeTablesModelColumnInfo(int index)

Output only. Auxiliary information for each of the model's

input_feature_column_specs with respect to this particular prediction. If no other fields than

column_spec_name and

column_display_name would be populated, then this whole field is not.

repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

Parameter
Name	Description
index	int

Returns
Type	Description
TablesAnnotation.Builder

setBaselineScore(float value)

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;

Parameter
Name	Description
value	float The baselineScore to set.

Returns
Type	Description
TablesAnnotation.Builder	This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public TablesAnnotation.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
TablesAnnotation.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

setPredictionInterval(DoubleRange value)

public TablesAnnotation.Builder setPredictionInterval(DoubleRange value)

Output only. Only populated when

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;

Parameter
Name	Description
value	DoubleRange

Returns
Type	Description
TablesAnnotation.Builder

setPredictionInterval(DoubleRange.Builder builderForValue)

public TablesAnnotation.Builder setPredictionInterval(DoubleRange.Builder builderForValue)

Output only. Only populated when

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;

Parameter
Name	Description
builderForValue	DoubleRange.Builder

Returns
Type	Description
TablesAnnotation.Builder

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public TablesAnnotation.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
TablesAnnotation.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setScore(float value)

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 of FLOAT64 data type the score is not populated.

float score = 1;

Parameter
Name	Description
value	float The score to set.

Returns
Type	Description
TablesAnnotation.Builder	This builder for chaining.

setTablesModelColumnInfo(int index, TablesModelColumnInfo value)

public TablesAnnotation.Builder setTablesModelColumnInfo(int index, TablesModelColumnInfo value)

Output only. Auxiliary information for each of the model's

input_feature_column_specs with respect to this particular prediction. If no other fields than

column_spec_name and

column_display_name would be populated, then this whole field is not.

repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

Parameters
Name	Description
index	int
value	TablesModelColumnInfo

Returns
Type	Description
TablesAnnotation.Builder

setTablesModelColumnInfo(int index, TablesModelColumnInfo.Builder builderForValue)

public TablesAnnotation.Builder setTablesModelColumnInfo(int index, TablesModelColumnInfo.Builder builderForValue)

Output only. Auxiliary information for each of the model's

input_feature_column_specs with respect to this particular prediction. If no other fields than

column_spec_name and

column_display_name would be populated, then this whole field is not.

repeated .google.cloud.automl.v1beta1.TablesModelColumnInfo tables_model_column_info = 3;

Parameters
Name	Description
index	int
builderForValue	TablesModelColumnInfo.Builder

Returns
Type	Description
TablesAnnotation.Builder

setUnknownFields(UnknownFieldSet unknownFields)

public final TablesAnnotation.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
TablesAnnotation.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)

setValue(Value value)

public TablesAnnotation.Builder setValue(Value value)

The predicted value of the row's

target_column. 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;

Parameter
Name	Description
value	Value

Returns
Type	Description
TablesAnnotation.Builder

setValue(Value.Builder builderForValue)

public TablesAnnotation.Builder setValue(Value.Builder builderForValue)

The predicted value of the row's

target_column. 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;

Parameter
Name	Description
builderForValue	Builder

Returns
Type	Description
TablesAnnotation.Builder