public interface AdjustByMatchingInfoTypesOrBuilder extends MessageOrBuilderImplements
MessageOrBuilderMethods
getInfoTypes(int index)
public abstract InfoType getInfoTypes(int index)Sensitive Data Protection adjusts the likelihood of a finding if that finding also matches one of these infoTypes.
For example, you can create a rule to adjust the likelihood of a
PHONE_NUMBER finding if the string is found within a document that is
classified as DOCUMENT_TYPE/HR/RESUME. To configure this, set
PHONE_NUMBER in InspectionRuleSet.info_types. Add an adjustment_rule
with an adjust_by_matching_info_types.info_types that contains
DOCUMENT_TYPE/HR/RESUME. In this case, the likelihood of the
PHONE_NUMBER finding is adjusted, but the likelihood of the
DOCUMENT_TYPE/HR/RESUME finding is not.
repeated .google.privacy.dlp.v2.InfoType info_types = 1;
| Parameter | |
|---|---|
| Name | Description |
index |
int |
| Returns | |
|---|---|
| Type | Description |
InfoType |
|
getInfoTypesCount()
public abstract int getInfoTypesCount()Sensitive Data Protection adjusts the likelihood of a finding if that finding also matches one of these infoTypes.
For example, you can create a rule to adjust the likelihood of a
PHONE_NUMBER finding if the string is found within a document that is
classified as DOCUMENT_TYPE/HR/RESUME. To configure this, set
PHONE_NUMBER in InspectionRuleSet.info_types. Add an adjustment_rule
with an adjust_by_matching_info_types.info_types that contains
DOCUMENT_TYPE/HR/RESUME. In this case, the likelihood of the
PHONE_NUMBER finding is adjusted, but the likelihood of the
DOCUMENT_TYPE/HR/RESUME finding is not.
repeated .google.privacy.dlp.v2.InfoType info_types = 1;
| Returns | |
|---|---|
| Type | Description |
int |
|
getInfoTypesList()
public abstract List<InfoType> getInfoTypesList()Sensitive Data Protection adjusts the likelihood of a finding if that finding also matches one of these infoTypes.
For example, you can create a rule to adjust the likelihood of a
PHONE_NUMBER finding if the string is found within a document that is
classified as DOCUMENT_TYPE/HR/RESUME. To configure this, set
PHONE_NUMBER in InspectionRuleSet.info_types. Add an adjustment_rule
with an adjust_by_matching_info_types.info_types that contains
DOCUMENT_TYPE/HR/RESUME. In this case, the likelihood of the
PHONE_NUMBER finding is adjusted, but the likelihood of the
DOCUMENT_TYPE/HR/RESUME finding is not.
repeated .google.privacy.dlp.v2.InfoType info_types = 1;
| Returns | |
|---|---|
| Type | Description |
List<InfoType> |
|
getInfoTypesOrBuilder(int index)
public abstract InfoTypeOrBuilder getInfoTypesOrBuilder(int index)Sensitive Data Protection adjusts the likelihood of a finding if that finding also matches one of these infoTypes.
For example, you can create a rule to adjust the likelihood of a
PHONE_NUMBER finding if the string is found within a document that is
classified as DOCUMENT_TYPE/HR/RESUME. To configure this, set
PHONE_NUMBER in InspectionRuleSet.info_types. Add an adjustment_rule
with an adjust_by_matching_info_types.info_types that contains
DOCUMENT_TYPE/HR/RESUME. In this case, the likelihood of the
PHONE_NUMBER finding is adjusted, but the likelihood of the
DOCUMENT_TYPE/HR/RESUME finding is not.
repeated .google.privacy.dlp.v2.InfoType info_types = 1;
| Parameter | |
|---|---|
| Name | Description |
index |
int |
| Returns | |
|---|---|
| Type | Description |
InfoTypeOrBuilder |
|
getInfoTypesOrBuilderList()
public abstract List<? extends InfoTypeOrBuilder> getInfoTypesOrBuilderList()Sensitive Data Protection adjusts the likelihood of a finding if that finding also matches one of these infoTypes.
For example, you can create a rule to adjust the likelihood of a
PHONE_NUMBER finding if the string is found within a document that is
classified as DOCUMENT_TYPE/HR/RESUME. To configure this, set
PHONE_NUMBER in InspectionRuleSet.info_types. Add an adjustment_rule
with an adjust_by_matching_info_types.info_types that contains
DOCUMENT_TYPE/HR/RESUME. In this case, the likelihood of the
PHONE_NUMBER finding is adjusted, but the likelihood of the
DOCUMENT_TYPE/HR/RESUME finding is not.
repeated .google.privacy.dlp.v2.InfoType info_types = 1;
| Returns | |
|---|---|
| Type | Description |
List<? extends com.google.privacy.dlp.v2.InfoTypeOrBuilder> |
|
getMatchingType()
public abstract MatchingType getMatchingType()How the adjustment rule is applied.
Only MATCHING_TYPE_PARTIAL_MATCH is supported:
- Partial match: adjusts the findings of infoTypes specified in the inspection rule when they have a nonempty intersection with a finding of an infoType specified in this adjustment rule.
.google.privacy.dlp.v2.MatchingType matching_type = 3;
| Returns | |
|---|---|
| Type | Description |
MatchingType |
The matchingType. |
getMatchingTypeValue()
public abstract int getMatchingTypeValue()How the adjustment rule is applied.
Only MATCHING_TYPE_PARTIAL_MATCH is supported:
- Partial match: adjusts the findings of infoTypes specified in the inspection rule when they have a nonempty intersection with a finding of an infoType specified in this adjustment rule.
.google.privacy.dlp.v2.MatchingType matching_type = 3;
| Returns | |
|---|---|
| Type | Description |
int |
The enum numeric value on the wire for matchingType. |
getMinLikelihood()
public abstract Likelihood getMinLikelihood() Required. Minimum likelihood of the
adjust_by_matching_info_types.info_types finding. If the likelihood is
lower than this value, Sensitive Data Protection doesn't adjust the
likelihood of the InspectionRuleSet.info_types finding.
.google.privacy.dlp.v2.Likelihood min_likelihood = 2;
| Returns | |
|---|---|
| Type | Description |
Likelihood |
The minLikelihood. |
getMinLikelihoodValue()
public abstract int getMinLikelihoodValue() Required. Minimum likelihood of the
adjust_by_matching_info_types.info_types finding. If the likelihood is
lower than this value, Sensitive Data Protection doesn't adjust the
likelihood of the InspectionRuleSet.info_types finding.
.google.privacy.dlp.v2.Likelihood min_likelihood = 2;
| Returns | |
|---|---|
| Type | Description |
int |
The enum numeric value on the wire for minLikelihood. |