com.google.privacy.dlp.v2

Interface PrivacyMetric.KMapEstimationConfig.TaggedFieldOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

PrivacyMetric.KMapEstimationConfig.TaggedField, PrivacyMetric.KMapEstimationConfig.TaggedField.Builder

Enclosing class:

PrivacyMetric.KMapEstimationConfig

public static interface PrivacyMetric.KMapEstimationConfig.TaggedFieldOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
String	getCustomTag() A column can be tagged with a custom tag.
com.google.protobuf.ByteString	getCustomTagBytes() A column can be tagged with a custom tag.
FieldId	getField() Required.
FieldIdOrBuilder	getFieldOrBuilder() Required.
com.google.protobuf.Empty	getInferred() If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
com.google.protobuf.EmptyOrBuilder	getInferredOrBuilder() If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
InfoType	getInfoType() A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available.
InfoTypeOrBuilder	getInfoTypeOrBuilder() A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available.
PrivacyMetric.KMapEstimationConfig.TaggedField.TagCase	getTagCase()
boolean	hasCustomTag() A column can be tagged with a custom tag.
boolean	hasField() Required.
boolean	hasInferred() If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
boolean	hasInfoType() A column can be tagged with a InfoType to use the relevant public dataset as a statistical model of population, if available.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

hasField

boolean hasField()

 Required. Identifies the column.
 

.google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];

Returns:

Whether the field field is set.

getField

FieldId getField()

 Required. Identifies the column.
 

.google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];

Returns:

The field.

getFieldOrBuilder

FieldIdOrBuilder getFieldOrBuilder()

 Required. Identifies the column.
 

.google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];

hasInfoType

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;

Returns:

Whether the infoType field is set.

getInfoType

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;

Returns:

The infoType.

getInfoTypeOrBuilder

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;

hasCustomTag

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;

Returns:

Whether the customTag field is set.

getCustomTag

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;

Returns:

The customTag.

getCustomTagBytes

com.google.protobuf.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;

Returns:

The bytes for customTag.

hasInferred

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;

Returns:

Whether the inferred field is set.

getInferred

com.google.protobuf.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;

Returns:

The inferred.

getInferredOrBuilder

com.google.protobuf.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;

getTagCase

PrivacyMetric.KMapEstimationConfig.TaggedField.TagCase getTagCase()