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public static final class PrivacyMetric.KMapEstimationConfig.TaggedField.Builder extends GeneratedMessageV3.Builder<PrivacyMetric.KMapEstimationConfig.TaggedField.Builder> implements PrivacyMetric.KMapEstimationConfig.TaggedFieldOrBuilder
A column with a semantic tag attached.
Protobuf type google.privacy.dlp.v2.PrivacyMetric.KMapEstimationConfig.TaggedField
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > PrivacyMetric.KMapEstimationConfig.TaggedField.BuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Type | Description |
Descriptor |
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder |
build()
public PrivacyMetric.KMapEstimationConfig.TaggedField build()
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField |
buildPartial()
public PrivacyMetric.KMapEstimationConfig.TaggedField buildPartial()
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField |
clear()
public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder clear()
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder |
clearCustomTag()
public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder clearCustomTag()
A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
string custom_tag = 3;
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder | This builder for chaining. |
clearField()
public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder clearField()
Required. Identifies the column.
.google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder |
clearField(Descriptors.FieldDescriptor field)
public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder clearField(Descriptors.FieldDescriptor field)
Name | Description |
field | FieldDescriptor |
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder |
clearInferred()
public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder clearInferred()
If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
.google.protobuf.Empty inferred = 4;
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder |
clearInfoType()
public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder clearInfoType()
A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
.google.privacy.dlp.v2.InfoType info_type = 2;
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder |
clearOneof(Descriptors.OneofDescriptor oneof)
public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Name | Description |
oneof | OneofDescriptor |
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder |
clearTag()
public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder clearTag()
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder |
clone()
public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder clone()
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder |
getCustomTag()
public String getCustomTag()
A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
string custom_tag = 3;
Type | Description |
String | The customTag. |
getCustomTagBytes()
public ByteString getCustomTagBytes()
A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
string custom_tag = 3;
Type | Description |
ByteString | The bytes for customTag. |
getDefaultInstanceForType()
public PrivacyMetric.KMapEstimationConfig.TaggedField getDefaultInstanceForType()
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Type | Description |
Descriptor |
getField()
public FieldId getField()
Required. Identifies the column.
.google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];
Type | Description |
FieldId | The field. |
getFieldBuilder()
public FieldId.Builder getFieldBuilder()
Required. Identifies the column.
.google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];
Type | Description |
FieldId.Builder |
getFieldOrBuilder()
public FieldIdOrBuilder getFieldOrBuilder()
Required. Identifies the column.
.google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];
Type | Description |
FieldIdOrBuilder |
getInferred()
public Empty getInferred()
If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
.google.protobuf.Empty inferred = 4;
Type | Description |
Empty | The inferred. |
getInferredBuilder()
public Empty.Builder getInferredBuilder()
If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
.google.protobuf.Empty inferred = 4;
Type | Description |
Builder |
getInferredOrBuilder()
public EmptyOrBuilder getInferredOrBuilder()
If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
.google.protobuf.Empty inferred = 4;
Type | Description |
EmptyOrBuilder |
getInfoType()
public InfoType getInfoType()
A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
.google.privacy.dlp.v2.InfoType info_type = 2;
Type | Description |
InfoType | The infoType. |
getInfoTypeBuilder()
public InfoType.Builder getInfoTypeBuilder()
A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
.google.privacy.dlp.v2.InfoType info_type = 2;
Type | Description |
InfoType.Builder |
getInfoTypeOrBuilder()
public InfoTypeOrBuilder getInfoTypeOrBuilder()
A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
.google.privacy.dlp.v2.InfoType info_type = 2;
Type | Description |
InfoTypeOrBuilder |
getTagCase()
public PrivacyMetric.KMapEstimationConfig.TaggedField.TagCase getTagCase()
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.TagCase |
hasCustomTag()
public boolean hasCustomTag()
A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
string custom_tag = 3;
Type | Description |
boolean | Whether the customTag field is set. |
hasField()
public boolean hasField()
Required. Identifies the column.
.google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];
Type | Description |
boolean | Whether the field field is set. |
hasInferred()
public boolean hasInferred()
If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
.google.protobuf.Empty inferred = 4;
Type | Description |
boolean | Whether the inferred field is set. |
hasInfoType()
public boolean hasInfoType()
A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
.google.privacy.dlp.v2.InfoType info_type = 2;
Type | Description |
boolean | Whether the infoType field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Type | Description |
boolean |
mergeField(FieldId value)
public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder mergeField(FieldId value)
Required. Identifies the column.
.google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];
Name | Description |
value | FieldId |
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder |
mergeFrom(PrivacyMetric.KMapEstimationConfig.TaggedField other)
public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder mergeFrom(PrivacyMetric.KMapEstimationConfig.TaggedField other)
Name | Description |
other | PrivacyMetric.KMapEstimationConfig.TaggedField |
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder |
Type | Description |
IOException |
mergeFrom(Message other)
public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder mergeFrom(Message other)
Name | Description |
other | Message |
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder |
mergeInferred(Empty value)
public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder mergeInferred(Empty value)
If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
.google.protobuf.Empty inferred = 4;
Name | Description |
value | Empty |
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder |
mergeInfoType(InfoType value)
public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder mergeInfoType(InfoType value)
A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
.google.privacy.dlp.v2.InfoType info_type = 2;
Name | Description |
value | InfoType |
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final PrivacyMetric.KMapEstimationConfig.TaggedField.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder |
setCustomTag(String value)
public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder setCustomTag(String value)
A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
string custom_tag = 3;
Name | Description |
value | String The customTag to set. |
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder | This builder for chaining. |
setCustomTagBytes(ByteString value)
public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder setCustomTagBytes(ByteString value)
A column can be tagged with a custom tag. In this case, the user must indicate an auxiliary table that contains statistical information on the possible values of this column (below).
string custom_tag = 3;
Name | Description |
value | ByteString The bytes for customTag to set. |
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder | This builder for chaining. |
setField(FieldId value)
public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder setField(FieldId value)
Required. Identifies the column.
.google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];
Name | Description |
value | FieldId |
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder |
setField(FieldId.Builder builderForValue)
public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder setField(FieldId.Builder builderForValue)
Required. Identifies the column.
.google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];
Name | Description |
builderForValue | FieldId.Builder |
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder |
setField(Descriptors.FieldDescriptor field, Object value)
public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder setField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder |
setInferred(Empty value)
public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder setInferred(Empty value)
If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
.google.protobuf.Empty inferred = 4;
Name | Description |
value | Empty |
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder |
setInferred(Empty.Builder builderForValue)
public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder setInferred(Empty.Builder builderForValue)
If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
.google.protobuf.Empty inferred = 4;
Name | Description |
builderForValue | Builder |
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder |
setInfoType(InfoType value)
public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder setInfoType(InfoType value)
A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
.google.privacy.dlp.v2.InfoType info_type = 2;
Name | Description |
value | InfoType |
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder |
setInfoType(InfoType.Builder builderForValue)
public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder setInfoType(InfoType.Builder builderForValue)
A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available. We currently support US ZIP codes, region codes, ages and genders. To programmatically obtain the list of supported InfoTypes, use ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
.google.privacy.dlp.v2.InfoType info_type = 2;
Name | Description |
builderForValue | InfoType.Builder |
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Name | Description |
field | FieldDescriptor |
index | int |
value | Object |
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder |
setUnknownFields(UnknownFieldSet unknownFields)
public final PrivacyMetric.KMapEstimationConfig.TaggedField.Builder setUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder |