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public static final class TablesAnnotation.Builder extends GeneratedMessageV3.Builder<TablesAnnotation.Builder> implements TablesAnnotationOrBuilderContains annotation details specific to Tables.
Protobuf type google.cloud.automl.v1beta1.TablesAnnotation
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > TablesAnnotation.BuilderImplements
TablesAnnotationOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()| 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;
| Name | Description |
values | Iterable<? extends com.google.cloud.automl.v1beta1.TablesModelColumnInfo> |
| Type | Description |
TablesAnnotation.Builder |
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public TablesAnnotation.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)| Name | Description |
field | FieldDescriptor |
value | Object |
| Type | Description |
TablesAnnotation.Builder |
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;
| Name | Description |
value | TablesModelColumnInfo |
| 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;
| Name | Description |
builderForValue | TablesModelColumnInfo.Builder |
| 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;
| Name | Description |
index | int |
value | TablesModelColumnInfo |
| 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;
| Name | Description |
index | int |
builderForValue | TablesModelColumnInfo.Builder |
| 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;
| 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;
| Name | Description |
index | int |
| Type | Description |
TablesModelColumnInfo.Builder |
build()
public TablesAnnotation build()| Type | Description |
TablesAnnotation |
buildPartial()
public TablesAnnotation buildPartial()| Type | Description |
TablesAnnotation |
clear()
public TablesAnnotation.Builder clear()| Type | Description |
TablesAnnotation.Builder |
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;
| Type | Description |
TablesAnnotation.Builder | This builder for chaining. |
clearField(Descriptors.FieldDescriptor field)
public TablesAnnotation.Builder clearField(Descriptors.FieldDescriptor field)| Name | Description |
field | FieldDescriptor |
| Type | Description |
TablesAnnotation.Builder |
clearOneof(Descriptors.OneofDescriptor oneof)
public TablesAnnotation.Builder clearOneof(Descriptors.OneofDescriptor oneof)| Name | Description |
oneof | OneofDescriptor |
| Type | Description |
TablesAnnotation.Builder |
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;
| 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;
| 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;
| 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;
| Type | Description |
TablesAnnotation.Builder |
clone()
public TablesAnnotation.Builder clone()| Type | Description |
TablesAnnotation.Builder |
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;
| Type | Description |
float | The baselineScore. |
getDefaultInstanceForType()
public TablesAnnotation getDefaultInstanceForType()| Type | Description |
TablesAnnotation |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()| Type | Description |
Descriptor |
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;
| 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;
| 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;
| 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;
| 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;
| Name | Description |
index | int |
| 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;
| Name | Description |
index | int |
| 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;
| 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;
| 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;
| 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;
| Name | Description |
index | int |
| 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;
| 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;
| 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;
| 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;
| 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;
| 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;
| Type | Description |
boolean | Whether the value field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()| Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()| Type | Description |
boolean |
mergeFrom(TablesAnnotation other)
public TablesAnnotation.Builder mergeFrom(TablesAnnotation other)| Name | Description |
other | TablesAnnotation |
| Type | Description |
TablesAnnotation.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public TablesAnnotation.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)| Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
| Type | Description |
TablesAnnotation.Builder |
| Type | Description |
IOException |
mergeFrom(Message other)
public TablesAnnotation.Builder mergeFrom(Message other)| Name | Description |
other | Message |
| Type | Description |
TablesAnnotation.Builder |
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;
| Name | Description |
value | DoubleRange |
| Type | Description |
TablesAnnotation.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final TablesAnnotation.Builder mergeUnknownFields(UnknownFieldSet unknownFields)| Name | Description |
unknownFields | UnknownFieldSet |
| Type | Description |
TablesAnnotation.Builder |
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;
| Name | Description |
value | Value |
| 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;
| Name | Description |
index | int |
| 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;
| Name | Description |
value | floatThe baselineScore to set. |
| Type | Description |
TablesAnnotation.Builder | This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public TablesAnnotation.Builder setField(Descriptors.FieldDescriptor field, Object value)| Name | Description |
field | FieldDescriptor |
value | Object |
| Type | Description |
TablesAnnotation.Builder |
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;
| Name | Description |
value | DoubleRange |
| 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;
| Name | Description |
builderForValue | DoubleRange.Builder |
| Type | Description |
TablesAnnotation.Builder |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public TablesAnnotation.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)| Name | Description |
field | FieldDescriptor |
index | int |
value | Object |
| Type | Description |
TablesAnnotation.Builder |
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;
| Name | Description |
value | floatThe score to set. |
| 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;
| Name | Description |
index | int |
value | TablesModelColumnInfo |
| 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;
| Name | Description |
index | int |
builderForValue | TablesModelColumnInfo.Builder |
| Type | Description |
TablesAnnotation.Builder |
setUnknownFields(UnknownFieldSet unknownFields)
public final TablesAnnotation.Builder setUnknownFields(UnknownFieldSet unknownFields)| Name | Description |
unknownFields | UnknownFieldSet |
| Type | Description |
TablesAnnotation.Builder |
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;
| Name | Description |
value | Value |
| 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;
| Name | Description |
builderForValue | Builder |
| Type | Description |
TablesAnnotation.Builder |