public static final class AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder extends GeneratedMessageV3.Builder<AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder> implements AnalyzeDataSourceRiskDetails.KMapEstimationResultOrBuilder
Result of the reidentifiability analysis. Note that these results are an
estimation, not exact values.
Protobuf type google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult
Static Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns
Methods
addAllKMapEstimationHistogram(Iterable<? extends AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket> values)
public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder addAllKMapEstimationHistogram(Iterable<? extends AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket> values)
The intervals [min_anonymity, max_anonymity] do not overlap. If a value
doesn't correspond to any such interval, the associated frequency is
zero. For example, the following records:
{min_anonymity: 1, max_anonymity: 1, frequency: 17}
{min_anonymity: 2, max_anonymity: 3, frequency: 42}
{min_anonymity: 5, max_anonymity: 10, frequency: 99}
mean that there are no record with an estimated anonymity of 4, 5, or
larger than 10.
repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;
| Name | Description |
| values | Iterable<? extends com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket>
|
Returns
addKMapEstimationHistogram(AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket value)
public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder addKMapEstimationHistogram(AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket value)
The intervals [min_anonymity, max_anonymity] do not overlap. If a value
doesn't correspond to any such interval, the associated frequency is
zero. For example, the following records:
{min_anonymity: 1, max_anonymity: 1, frequency: 17}
{min_anonymity: 2, max_anonymity: 3, frequency: 42}
{min_anonymity: 5, max_anonymity: 10, frequency: 99}
mean that there are no record with an estimated anonymity of 4, 5, or
larger than 10.
repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;
addKMapEstimationHistogram(AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder builderForValue)
public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder addKMapEstimationHistogram(AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder builderForValue)
The intervals [min_anonymity, max_anonymity] do not overlap. If a value
doesn't correspond to any such interval, the associated frequency is
zero. For example, the following records:
{min_anonymity: 1, max_anonymity: 1, frequency: 17}
{min_anonymity: 2, max_anonymity: 3, frequency: 42}
{min_anonymity: 5, max_anonymity: 10, frequency: 99}
mean that there are no record with an estimated anonymity of 4, 5, or
larger than 10.
repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;
addKMapEstimationHistogram(int index, AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket value)
public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder addKMapEstimationHistogram(int index, AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket value)
The intervals [min_anonymity, max_anonymity] do not overlap. If a value
doesn't correspond to any such interval, the associated frequency is
zero. For example, the following records:
{min_anonymity: 1, max_anonymity: 1, frequency: 17}
{min_anonymity: 2, max_anonymity: 3, frequency: 42}
{min_anonymity: 5, max_anonymity: 10, frequency: 99}
mean that there are no record with an estimated anonymity of 4, 5, or
larger than 10.
repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;
addKMapEstimationHistogram(int index, AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder builderForValue)
public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder addKMapEstimationHistogram(int index, AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder builderForValue)
The intervals [min_anonymity, max_anonymity] do not overlap. If a value
doesn't correspond to any such interval, the associated frequency is
zero. For example, the following records:
{min_anonymity: 1, max_anonymity: 1, frequency: 17}
{min_anonymity: 2, max_anonymity: 3, frequency: 42}
{min_anonymity: 5, max_anonymity: 10, frequency: 99}
mean that there are no record with an estimated anonymity of 4, 5, or
larger than 10.
repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;
addKMapEstimationHistogramBuilder()
public AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder addKMapEstimationHistogramBuilder()
The intervals [min_anonymity, max_anonymity] do not overlap. If a value
doesn't correspond to any such interval, the associated frequency is
zero. For example, the following records:
{min_anonymity: 1, max_anonymity: 1, frequency: 17}
{min_anonymity: 2, max_anonymity: 3, frequency: 42}
{min_anonymity: 5, max_anonymity: 10, frequency: 99}
mean that there are no record with an estimated anonymity of 4, 5, or
larger than 10.
repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;
addKMapEstimationHistogramBuilder(int index)
public AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder addKMapEstimationHistogramBuilder(int index)
The intervals [min_anonymity, max_anonymity] do not overlap. If a value
doesn't correspond to any such interval, the associated frequency is
zero. For example, the following records:
{min_anonymity: 1, max_anonymity: 1, frequency: 17}
{min_anonymity: 2, max_anonymity: 3, frequency: 42}
{min_anonymity: 5, max_anonymity: 10, frequency: 99}
mean that there are no record with an estimated anonymity of 4, 5, or
larger than 10.
repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Returns
Overrides
build()
public AnalyzeDataSourceRiskDetails.KMapEstimationResult build()
Returns
buildPartial()
public AnalyzeDataSourceRiskDetails.KMapEstimationResult buildPartial()
Returns
clear()
public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder clear()
Returns
Overrides
clearField(Descriptors.FieldDescriptor field)
public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Returns
Overrides
clearKMapEstimationHistogram()
public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder clearKMapEstimationHistogram()
The intervals [min_anonymity, max_anonymity] do not overlap. If a value
doesn't correspond to any such interval, the associated frequency is
zero. For example, the following records:
{min_anonymity: 1, max_anonymity: 1, frequency: 17}
{min_anonymity: 2, max_anonymity: 3, frequency: 42}
{min_anonymity: 5, max_anonymity: 10, frequency: 99}
mean that there are no record with an estimated anonymity of 4, 5, or
larger than 10.
repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;
clearOneof(Descriptors.OneofDescriptor oneof)
public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Returns
Overrides
clone()
public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder clone()
Returns
Overrides
getDefaultInstanceForType()
public AnalyzeDataSourceRiskDetails.KMapEstimationResult getDefaultInstanceForType()
Returns
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Returns
Overrides
getKMapEstimationHistogram(int index)
public AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket getKMapEstimationHistogram(int index)
The intervals [min_anonymity, max_anonymity] do not overlap. If a value
doesn't correspond to any such interval, the associated frequency is
zero. For example, the following records:
{min_anonymity: 1, max_anonymity: 1, frequency: 17}
{min_anonymity: 2, max_anonymity: 3, frequency: 42}
{min_anonymity: 5, max_anonymity: 10, frequency: 99}
mean that there are no record with an estimated anonymity of 4, 5, or
larger than 10.
repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;
getKMapEstimationHistogramBuilder(int index)
public AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder getKMapEstimationHistogramBuilder(int index)
The intervals [min_anonymity, max_anonymity] do not overlap. If a value
doesn't correspond to any such interval, the associated frequency is
zero. For example, the following records:
{min_anonymity: 1, max_anonymity: 1, frequency: 17}
{min_anonymity: 2, max_anonymity: 3, frequency: 42}
{min_anonymity: 5, max_anonymity: 10, frequency: 99}
mean that there are no record with an estimated anonymity of 4, 5, or
larger than 10.
repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;
getKMapEstimationHistogramBuilderList()
public List<AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder> getKMapEstimationHistogramBuilderList()
The intervals [min_anonymity, max_anonymity] do not overlap. If a value
doesn't correspond to any such interval, the associated frequency is
zero. For example, the following records:
{min_anonymity: 1, max_anonymity: 1, frequency: 17}
{min_anonymity: 2, max_anonymity: 3, frequency: 42}
{min_anonymity: 5, max_anonymity: 10, frequency: 99}
mean that there are no record with an estimated anonymity of 4, 5, or
larger than 10.
repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;
getKMapEstimationHistogramCount()
public int getKMapEstimationHistogramCount()
The intervals [min_anonymity, max_anonymity] do not overlap. If a value
doesn't correspond to any such interval, the associated frequency is
zero. For example, the following records:
{min_anonymity: 1, max_anonymity: 1, frequency: 17}
{min_anonymity: 2, max_anonymity: 3, frequency: 42}
{min_anonymity: 5, max_anonymity: 10, frequency: 99}
mean that there are no record with an estimated anonymity of 4, 5, or
larger than 10.
repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;
getKMapEstimationHistogramList()
public List<AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket> getKMapEstimationHistogramList()
The intervals [min_anonymity, max_anonymity] do not overlap. If a value
doesn't correspond to any such interval, the associated frequency is
zero. For example, the following records:
{min_anonymity: 1, max_anonymity: 1, frequency: 17}
{min_anonymity: 2, max_anonymity: 3, frequency: 42}
{min_anonymity: 5, max_anonymity: 10, frequency: 99}
mean that there are no record with an estimated anonymity of 4, 5, or
larger than 10.
repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;
getKMapEstimationHistogramOrBuilder(int index)
public AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucketOrBuilder getKMapEstimationHistogramOrBuilder(int index)
The intervals [min_anonymity, max_anonymity] do not overlap. If a value
doesn't correspond to any such interval, the associated frequency is
zero. For example, the following records:
{min_anonymity: 1, max_anonymity: 1, frequency: 17}
{min_anonymity: 2, max_anonymity: 3, frequency: 42}
{min_anonymity: 5, max_anonymity: 10, frequency: 99}
mean that there are no record with an estimated anonymity of 4, 5, or
larger than 10.
repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;
getKMapEstimationHistogramOrBuilderList()
public List<? extends AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucketOrBuilder> getKMapEstimationHistogramOrBuilderList()
The intervals [min_anonymity, max_anonymity] do not overlap. If a value
doesn't correspond to any such interval, the associated frequency is
zero. For example, the following records:
{min_anonymity: 1, max_anonymity: 1, frequency: 17}
{min_anonymity: 2, max_anonymity: 3, frequency: 42}
{min_anonymity: 5, max_anonymity: 10, frequency: 99}
mean that there are no record with an estimated anonymity of 4, 5, or
larger than 10.
repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;
| Type | Description |
| List<? extends com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucketOrBuilder> | |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Overrides
isInitialized()
public final boolean isInitialized()
Returns
Overrides
mergeFrom(AnalyzeDataSourceRiskDetails.KMapEstimationResult other)
public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder mergeFrom(AnalyzeDataSourceRiskDetails.KMapEstimationResult other)
Parameter
Returns
public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Returns
Overrides
Exceptions
mergeFrom(Message other)
public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder mergeFrom(Message other)
Parameter
Returns
Overrides
mergeUnknownFields(UnknownFieldSet unknownFields)
public final AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Returns
Overrides
removeKMapEstimationHistogram(int index)
public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder removeKMapEstimationHistogram(int index)
The intervals [min_anonymity, max_anonymity] do not overlap. If a value
doesn't correspond to any such interval, the associated frequency is
zero. For example, the following records:
{min_anonymity: 1, max_anonymity: 1, frequency: 17}
{min_anonymity: 2, max_anonymity: 3, frequency: 42}
{min_anonymity: 5, max_anonymity: 10, frequency: 99}
mean that there are no record with an estimated anonymity of 4, 5, or
larger than 10.
repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;
setField(Descriptors.FieldDescriptor field, Object value)
public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Returns
Overrides
setKMapEstimationHistogram(int index, AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket value)
public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder setKMapEstimationHistogram(int index, AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket value)
The intervals [min_anonymity, max_anonymity] do not overlap. If a value
doesn't correspond to any such interval, the associated frequency is
zero. For example, the following records:
{min_anonymity: 1, max_anonymity: 1, frequency: 17}
{min_anonymity: 2, max_anonymity: 3, frequency: 42}
{min_anonymity: 5, max_anonymity: 10, frequency: 99}
mean that there are no record with an estimated anonymity of 4, 5, or
larger than 10.
repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;
setKMapEstimationHistogram(int index, AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder builderForValue)
public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder setKMapEstimationHistogram(int index, AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder builderForValue)
The intervals [min_anonymity, max_anonymity] do not overlap. If a value
doesn't correspond to any such interval, the associated frequency is
zero. For example, the following records:
{min_anonymity: 1, max_anonymity: 1, frequency: 17}
{min_anonymity: 2, max_anonymity: 3, frequency: 42}
{min_anonymity: 5, max_anonymity: 10, frequency: 99}
mean that there are no record with an estimated anonymity of 4, 5, or
larger than 10.
repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Returns
Overrides
setUnknownFields(UnknownFieldSet unknownFields)
public final AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Returns
Overrides
