com.google.cloud.aiplatform.v1beta1

Class FeatureStatsAnomaly.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

com.google.protobuf.AbstractMessage.Builder<BuilderT>

com.google.protobuf.GeneratedMessageV3.Builder<FeatureStatsAnomaly.Builder>

com.google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.Builder

All Implemented Interfaces:

FeatureStatsAnomalyOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable

Enclosing class:

FeatureStatsAnomaly

public static final class FeatureStatsAnomaly.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<FeatureStatsAnomaly.Builder>
implements FeatureStatsAnomalyOrBuilder

 Stats and Anomaly generated at specific timestamp for specific Feature.
 The start_time and end_time are used to define the time range of the dataset
 that current stats belongs to, e.g. prediction traffic is bucketed into
 prediction datasets by time window. If the Dataset is not defined by time
 window, start_time = end_time. Timestamp of the stats and anomalies always
 refers to end_time. Raw stats and anomalies are stored in stats_uri or
 anomaly_uri in the tensorflow defined protos. Field data_stats contains
 almost identical information with the raw stats in Vertex AI
 defined proto, for UI to display.
 

Protobuf type google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly

Method Summary

Modifier and Type	Method and Description
FeatureStatsAnomaly.Builder	addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
FeatureStatsAnomaly	build()
FeatureStatsAnomaly	buildPartial()
FeatureStatsAnomaly.Builder	clear()
FeatureStatsAnomaly.Builder	clearAnomalyDetectionThreshold() This is the threshold used when detecting anomalies.
FeatureStatsAnomaly.Builder	clearAnomalyUri() Path of the anomaly file for current feature values in Cloud Storage bucket.
FeatureStatsAnomaly.Builder	clearDistributionDeviation() Deviation from the current stats to baseline stats. 1.
FeatureStatsAnomaly.Builder	clearEndTime() The end timestamp of window where stats were generated.
FeatureStatsAnomaly.Builder	clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
FeatureStatsAnomaly.Builder	clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
FeatureStatsAnomaly.Builder	clearScore() Feature importance score, only populated when cross-feature monitoring is enabled.
FeatureStatsAnomaly.Builder	clearStartTime() The start timestamp of window where stats were generated.
FeatureStatsAnomaly.Builder	clearStatsUri() Path of the stats file for current feature values in Cloud Storage bucket.
FeatureStatsAnomaly.Builder	clone()
double	getAnomalyDetectionThreshold() This is the threshold used when detecting anomalies.
String	getAnomalyUri() Path of the anomaly file for current feature values in Cloud Storage bucket.
com.google.protobuf.ByteString	getAnomalyUriBytes() Path of the anomaly file for current feature values in Cloud Storage bucket.
FeatureStatsAnomaly	getDefaultInstanceForType()
static com.google.protobuf.Descriptors.Descriptor	getDescriptor()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType()
double	getDistributionDeviation() Deviation from the current stats to baseline stats. 1.
com.google.protobuf.Timestamp	getEndTime() The end timestamp of window where stats were generated.
com.google.protobuf.Timestamp.Builder	getEndTimeBuilder() The end timestamp of window where stats were generated.
com.google.protobuf.TimestampOrBuilder	getEndTimeOrBuilder() The end timestamp of window where stats were generated.
double	getScore() Feature importance score, only populated when cross-feature monitoring is enabled.
com.google.protobuf.Timestamp	getStartTime() The start timestamp of window where stats were generated.
com.google.protobuf.Timestamp.Builder	getStartTimeBuilder() The start timestamp of window where stats were generated.
com.google.protobuf.TimestampOrBuilder	getStartTimeOrBuilder() The start timestamp of window where stats were generated.
String	getStatsUri() Path of the stats file for current feature values in Cloud Storage bucket.
com.google.protobuf.ByteString	getStatsUriBytes() Path of the stats file for current feature values in Cloud Storage bucket.
boolean	hasEndTime() The end timestamp of window where stats were generated.
boolean	hasStartTime() The start timestamp of window where stats were generated.
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
boolean	isInitialized()
FeatureStatsAnomaly.Builder	mergeEndTime(com.google.protobuf.Timestamp value) The end timestamp of window where stats were generated.
FeatureStatsAnomaly.Builder	mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
FeatureStatsAnomaly.Builder	mergeFrom(FeatureStatsAnomaly other)
FeatureStatsAnomaly.Builder	mergeFrom(com.google.protobuf.Message other)
FeatureStatsAnomaly.Builder	mergeStartTime(com.google.protobuf.Timestamp value) The start timestamp of window where stats were generated.
FeatureStatsAnomaly.Builder	mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
FeatureStatsAnomaly.Builder	setAnomalyDetectionThreshold(double value) This is the threshold used when detecting anomalies.
FeatureStatsAnomaly.Builder	setAnomalyUri(String value) Path of the anomaly file for current feature values in Cloud Storage bucket.
FeatureStatsAnomaly.Builder	setAnomalyUriBytes(com.google.protobuf.ByteString value) Path of the anomaly file for current feature values in Cloud Storage bucket.
FeatureStatsAnomaly.Builder	setDistributionDeviation(double value) Deviation from the current stats to baseline stats. 1.
FeatureStatsAnomaly.Builder	setEndTime(com.google.protobuf.Timestamp.Builder builderForValue) The end timestamp of window where stats were generated.
FeatureStatsAnomaly.Builder	setEndTime(com.google.protobuf.Timestamp value) The end timestamp of window where stats were generated.
FeatureStatsAnomaly.Builder	setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
FeatureStatsAnomaly.Builder	setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
FeatureStatsAnomaly.Builder	setScore(double value) Feature importance score, only populated when cross-feature monitoring is enabled.
FeatureStatsAnomaly.Builder	setStartTime(com.google.protobuf.Timestamp.Builder builderForValue) The start timestamp of window where stats were generated.
FeatureStatsAnomaly.Builder	setStartTime(com.google.protobuf.Timestamp value) The start timestamp of window where stats were generated.
FeatureStatsAnomaly.Builder	setStatsUri(String value) Path of the stats file for current feature values in Cloud Storage bucket.
FeatureStatsAnomaly.Builder	setStatsUriBytes(com.google.protobuf.ByteString value) Path of the stats file for current feature values in Cloud Storage bucket.
FeatureStatsAnomaly.Builder	setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Methods inherited from class com.google.protobuf.GeneratedMessageV3.Builder

getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setUnknownFieldSetBuilder, setUnknownFieldsProto3

Methods inherited from class com.google.protobuf.AbstractMessage.Builder

findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder

addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, newUninitializedMessageException

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.MessageOrBuilder

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

Methods inherited from interface com.google.protobuf.Message.Builder

mergeDelimitedFrom, mergeDelimitedFrom

Method Detail

getDescriptor

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

internalGetFieldAccessorTable

protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<FeatureStatsAnomaly.Builder>

clear

public FeatureStatsAnomaly.Builder clear()

Specified by:

clear in interface com.google.protobuf.Message.Builder

Specified by:

clear in interface com.google.protobuf.MessageLite.Builder

Overrides:

clear in class com.google.protobuf.GeneratedMessageV3.Builder<FeatureStatsAnomaly.Builder>

getDescriptorForType

public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()

Specified by:

getDescriptorForType in interface com.google.protobuf.Message.Builder

Specified by:

getDescriptorForType in interface com.google.protobuf.MessageOrBuilder

Overrides:

getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<FeatureStatsAnomaly.Builder>

getDefaultInstanceForType

public FeatureStatsAnomaly getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build

public FeatureStatsAnomaly build()

Specified by:

build in interface com.google.protobuf.Message.Builder

Specified by:

build in interface com.google.protobuf.MessageLite.Builder

buildPartial

public FeatureStatsAnomaly buildPartial()

Specified by:

buildPartial in interface com.google.protobuf.Message.Builder

Specified by:

buildPartial in interface com.google.protobuf.MessageLite.Builder

clone

public FeatureStatsAnomaly.Builder clone()

Specified by:

clone in interface com.google.protobuf.Message.Builder

Specified by:

clone in interface com.google.protobuf.MessageLite.Builder

Overrides:

clone in class com.google.protobuf.GeneratedMessageV3.Builder<FeatureStatsAnomaly.Builder>

setField

public FeatureStatsAnomaly.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                            Object value)

Specified by:

setField in interface com.google.protobuf.Message.Builder

Overrides:

setField in class com.google.protobuf.GeneratedMessageV3.Builder<FeatureStatsAnomaly.Builder>

clearField

public FeatureStatsAnomaly.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)

Specified by:

clearField in interface com.google.protobuf.Message.Builder

Overrides:

clearField in class com.google.protobuf.GeneratedMessageV3.Builder<FeatureStatsAnomaly.Builder>

clearOneof

public FeatureStatsAnomaly.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)

Specified by:

clearOneof in interface com.google.protobuf.Message.Builder

Overrides:

clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<FeatureStatsAnomaly.Builder>

setRepeatedField

public FeatureStatsAnomaly.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                    int index,
                                                    Object value)

Specified by:

setRepeatedField in interface com.google.protobuf.Message.Builder

Overrides:

setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<FeatureStatsAnomaly.Builder>

addRepeatedField

public FeatureStatsAnomaly.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                    Object value)

Specified by:

addRepeatedField in interface com.google.protobuf.Message.Builder

Overrides:

addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<FeatureStatsAnomaly.Builder>

mergeFrom

public FeatureStatsAnomaly.Builder mergeFrom(com.google.protobuf.Message other)

Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<FeatureStatsAnomaly.Builder>

mergeFrom

public FeatureStatsAnomaly.Builder mergeFrom(FeatureStatsAnomaly other)

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<FeatureStatsAnomaly.Builder>

mergeFrom

public FeatureStatsAnomaly.Builder mergeFrom(com.google.protobuf.CodedInputStream input,
                                             com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                      throws IOException

Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Specified by:

mergeFrom in interface com.google.protobuf.MessageLite.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<FeatureStatsAnomaly.Builder>

Throws:

IOException

getScore

public double getScore()

 Feature importance score, only populated when cross-feature monitoring is
 enabled. For now only used to represent feature attribution score within
 range [0, 1] for
 [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW]
 and
 [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT].
 

double score = 1;

Specified by:

getScore in interface FeatureStatsAnomalyOrBuilder

Returns:

The score.

setScore

public FeatureStatsAnomaly.Builder setScore(double value)

 Feature importance score, only populated when cross-feature monitoring is
 enabled. For now only used to represent feature attribution score within
 range [0, 1] for
 [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW]
 and
 [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT].
 

double score = 1;

Parameters:

value - The score to set.

Returns:

This builder for chaining.

clearScore

public FeatureStatsAnomaly.Builder clearScore()

 Feature importance score, only populated when cross-feature monitoring is
 enabled. For now only used to represent feature attribution score within
 range [0, 1] for
 [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW]
 and
 [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT].
 

double score = 1;

Returns:

This builder for chaining.

getStatsUri

public String getStatsUri()

 Path of the stats file for current feature values in Cloud Storage bucket.
 Format: gs://<bucket_name>/<object_name>/stats.
 Example: gs://monitoring_bucket/feature_name/stats.
 Stats are stored as binary format with Protobuf message
 [tensorflow.metadata.v0.FeatureNameStatistics](https://github.com/tensorflow/metadata/blob/master/tensorflow_metadata/proto/v0/statistics.proto).
 

string stats_uri = 3;

Specified by:

getStatsUri in interface FeatureStatsAnomalyOrBuilder

Returns:

The statsUri.

getStatsUriBytes

public com.google.protobuf.ByteString getStatsUriBytes()

 Path of the stats file for current feature values in Cloud Storage bucket.
 Format: gs://<bucket_name>/<object_name>/stats.
 Example: gs://monitoring_bucket/feature_name/stats.
 Stats are stored as binary format with Protobuf message
 [tensorflow.metadata.v0.FeatureNameStatistics](https://github.com/tensorflow/metadata/blob/master/tensorflow_metadata/proto/v0/statistics.proto).
 

string stats_uri = 3;

Specified by:

getStatsUriBytes in interface FeatureStatsAnomalyOrBuilder

Returns:

The bytes for statsUri.

setStatsUri

public FeatureStatsAnomaly.Builder setStatsUri(String value)

 Path of the stats file for current feature values in Cloud Storage bucket.
 Format: gs://<bucket_name>/<object_name>/stats.
 Example: gs://monitoring_bucket/feature_name/stats.
 Stats are stored as binary format with Protobuf message
 [tensorflow.metadata.v0.FeatureNameStatistics](https://github.com/tensorflow/metadata/blob/master/tensorflow_metadata/proto/v0/statistics.proto).
 

string stats_uri = 3;

Parameters:

value - The statsUri to set.

Returns:

This builder for chaining.

clearStatsUri

public FeatureStatsAnomaly.Builder clearStatsUri()

 Path of the stats file for current feature values in Cloud Storage bucket.
 Format: gs://<bucket_name>/<object_name>/stats.
 Example: gs://monitoring_bucket/feature_name/stats.
 Stats are stored as binary format with Protobuf message
 [tensorflow.metadata.v0.FeatureNameStatistics](https://github.com/tensorflow/metadata/blob/master/tensorflow_metadata/proto/v0/statistics.proto).
 

string stats_uri = 3;

Returns:

This builder for chaining.

setStatsUriBytes

public FeatureStatsAnomaly.Builder setStatsUriBytes(com.google.protobuf.ByteString value)

 Path of the stats file for current feature values in Cloud Storage bucket.
 Format: gs://<bucket_name>/<object_name>/stats.
 Example: gs://monitoring_bucket/feature_name/stats.
 Stats are stored as binary format with Protobuf message
 [tensorflow.metadata.v0.FeatureNameStatistics](https://github.com/tensorflow/metadata/blob/master/tensorflow_metadata/proto/v0/statistics.proto).
 

string stats_uri = 3;

Parameters:

value - The bytes for statsUri to set.

Returns:

This builder for chaining.

getAnomalyUri

public String getAnomalyUri()

 Path of the anomaly file for current feature values in Cloud Storage
 bucket.
 Format: gs://<bucket_name>/<object_name>/anomalies.
 Example: gs://monitoring_bucket/feature_name/anomalies.
 Stats are stored as binary format with Protobuf message
 Anoamlies are stored as binary format with Protobuf message
 [tensorflow.metadata.v0.AnomalyInfo]
 (https://github.com/tensorflow/metadata/blob/master/tensorflow_metadata/proto/v0/anomalies.proto).
 

string anomaly_uri = 4;

Specified by:

getAnomalyUri in interface FeatureStatsAnomalyOrBuilder

Returns:

The anomalyUri.

getAnomalyUriBytes

public com.google.protobuf.ByteString getAnomalyUriBytes()

 Path of the anomaly file for current feature values in Cloud Storage
 bucket.
 Format: gs://<bucket_name>/<object_name>/anomalies.
 Example: gs://monitoring_bucket/feature_name/anomalies.
 Stats are stored as binary format with Protobuf message
 Anoamlies are stored as binary format with Protobuf message
 [tensorflow.metadata.v0.AnomalyInfo]
 (https://github.com/tensorflow/metadata/blob/master/tensorflow_metadata/proto/v0/anomalies.proto).
 

string anomaly_uri = 4;

Specified by:

getAnomalyUriBytes in interface FeatureStatsAnomalyOrBuilder

Returns:

The bytes for anomalyUri.

setAnomalyUri

public FeatureStatsAnomaly.Builder setAnomalyUri(String value)

 Path of the anomaly file for current feature values in Cloud Storage
 bucket.
 Format: gs://<bucket_name>/<object_name>/anomalies.
 Example: gs://monitoring_bucket/feature_name/anomalies.
 Stats are stored as binary format with Protobuf message
 Anoamlies are stored as binary format with Protobuf message
 [tensorflow.metadata.v0.AnomalyInfo]
 (https://github.com/tensorflow/metadata/blob/master/tensorflow_metadata/proto/v0/anomalies.proto).
 

string anomaly_uri = 4;

Parameters:

value - The anomalyUri to set.

Returns:

This builder for chaining.

clearAnomalyUri

public FeatureStatsAnomaly.Builder clearAnomalyUri()

 Path of the anomaly file for current feature values in Cloud Storage
 bucket.
 Format: gs://<bucket_name>/<object_name>/anomalies.
 Example: gs://monitoring_bucket/feature_name/anomalies.
 Stats are stored as binary format with Protobuf message
 Anoamlies are stored as binary format with Protobuf message
 [tensorflow.metadata.v0.AnomalyInfo]
 (https://github.com/tensorflow/metadata/blob/master/tensorflow_metadata/proto/v0/anomalies.proto).
 

string anomaly_uri = 4;

Returns:

This builder for chaining.

setAnomalyUriBytes

public FeatureStatsAnomaly.Builder setAnomalyUriBytes(com.google.protobuf.ByteString value)

 Path of the anomaly file for current feature values in Cloud Storage
 bucket.
 Format: gs://<bucket_name>/<object_name>/anomalies.
 Example: gs://monitoring_bucket/feature_name/anomalies.
 Stats are stored as binary format with Protobuf message
 Anoamlies are stored as binary format with Protobuf message
 [tensorflow.metadata.v0.AnomalyInfo]
 (https://github.com/tensorflow/metadata/blob/master/tensorflow_metadata/proto/v0/anomalies.proto).
 

string anomaly_uri = 4;

Parameters:

value - The bytes for anomalyUri to set.

Returns:

This builder for chaining.

getDistributionDeviation

public double getDistributionDeviation()

 Deviation from the current stats to baseline stats.
   1. For categorical feature, the distribution distance is calculated by
      L-inifinity norm.
   2. For numerical feature, the distribution distance is calculated by
      Jensen–Shannon divergence.
 

double distribution_deviation = 5;

Specified by:

getDistributionDeviation in interface FeatureStatsAnomalyOrBuilder

Returns:

The distributionDeviation.

setDistributionDeviation

public FeatureStatsAnomaly.Builder setDistributionDeviation(double value)

 Deviation from the current stats to baseline stats.
   1. For categorical feature, the distribution distance is calculated by
      L-inifinity norm.
   2. For numerical feature, the distribution distance is calculated by
      Jensen–Shannon divergence.
 

double distribution_deviation = 5;

Parameters:

value - The distributionDeviation to set.

Returns:

This builder for chaining.

clearDistributionDeviation

public FeatureStatsAnomaly.Builder clearDistributionDeviation()

 Deviation from the current stats to baseline stats.
   1. For categorical feature, the distribution distance is calculated by
      L-inifinity norm.
   2. For numerical feature, the distribution distance is calculated by
      Jensen–Shannon divergence.
 

double distribution_deviation = 5;

Returns:

This builder for chaining.

getAnomalyDetectionThreshold

public double getAnomalyDetectionThreshold()

 This is the threshold used when detecting anomalies.
 The threshold can be changed by user, so this one might be different from
 [ThresholdConfig.value][google.cloud.aiplatform.v1beta1.ThresholdConfig.value].
 

double anomaly_detection_threshold = 9;

Specified by:

getAnomalyDetectionThreshold in interface FeatureStatsAnomalyOrBuilder

Returns:

The anomalyDetectionThreshold.

setAnomalyDetectionThreshold

public FeatureStatsAnomaly.Builder setAnomalyDetectionThreshold(double value)

 This is the threshold used when detecting anomalies.
 The threshold can be changed by user, so this one might be different from
 [ThresholdConfig.value][google.cloud.aiplatform.v1beta1.ThresholdConfig.value].
 

double anomaly_detection_threshold = 9;

Parameters:

value - The anomalyDetectionThreshold to set.

Returns:

This builder for chaining.

clearAnomalyDetectionThreshold

public FeatureStatsAnomaly.Builder clearAnomalyDetectionThreshold()

 This is the threshold used when detecting anomalies.
 The threshold can be changed by user, so this one might be different from
 [ThresholdConfig.value][google.cloud.aiplatform.v1beta1.ThresholdConfig.value].
 

double anomaly_detection_threshold = 9;

Returns:

This builder for chaining.

hasStartTime

public boolean hasStartTime()

 The start timestamp of window where stats were generated.
 For objectives where time window doesn't make sense (e.g. Featurestore
 Snapshot Monitoring), start_time is only used to indicate the monitoring
 intervals, so it always equals to (end_time - monitoring_interval).
 

.google.protobuf.Timestamp start_time = 7;

Specified by:

hasStartTime in interface FeatureStatsAnomalyOrBuilder

Returns:

Whether the startTime field is set.

getStartTime

public com.google.protobuf.Timestamp getStartTime()

 The start timestamp of window where stats were generated.
 For objectives where time window doesn't make sense (e.g. Featurestore
 Snapshot Monitoring), start_time is only used to indicate the monitoring
 intervals, so it always equals to (end_time - monitoring_interval).
 

.google.protobuf.Timestamp start_time = 7;

Specified by:

getStartTime in interface FeatureStatsAnomalyOrBuilder

Returns:

The startTime.

setStartTime

public FeatureStatsAnomaly.Builder setStartTime(com.google.protobuf.Timestamp value)

 The start timestamp of window where stats were generated.
 For objectives where time window doesn't make sense (e.g. Featurestore
 Snapshot Monitoring), start_time is only used to indicate the monitoring
 intervals, so it always equals to (end_time - monitoring_interval).
 

.google.protobuf.Timestamp start_time = 7;

setStartTime

public FeatureStatsAnomaly.Builder setStartTime(com.google.protobuf.Timestamp.Builder builderForValue)

 The start timestamp of window where stats were generated.
 For objectives where time window doesn't make sense (e.g. Featurestore
 Snapshot Monitoring), start_time is only used to indicate the monitoring
 intervals, so it always equals to (end_time - monitoring_interval).
 

.google.protobuf.Timestamp start_time = 7;

mergeStartTime

public FeatureStatsAnomaly.Builder mergeStartTime(com.google.protobuf.Timestamp value)

 The start timestamp of window where stats were generated.
 For objectives where time window doesn't make sense (e.g. Featurestore
 Snapshot Monitoring), start_time is only used to indicate the monitoring
 intervals, so it always equals to (end_time - monitoring_interval).
 

.google.protobuf.Timestamp start_time = 7;

clearStartTime

public FeatureStatsAnomaly.Builder clearStartTime()

 The start timestamp of window where stats were generated.
 For objectives where time window doesn't make sense (e.g. Featurestore
 Snapshot Monitoring), start_time is only used to indicate the monitoring
 intervals, so it always equals to (end_time - monitoring_interval).
 

.google.protobuf.Timestamp start_time = 7;

getStartTimeBuilder

public com.google.protobuf.Timestamp.Builder getStartTimeBuilder()

 The start timestamp of window where stats were generated.
 For objectives where time window doesn't make sense (e.g. Featurestore
 Snapshot Monitoring), start_time is only used to indicate the monitoring
 intervals, so it always equals to (end_time - monitoring_interval).
 

.google.protobuf.Timestamp start_time = 7;

getStartTimeOrBuilder

public com.google.protobuf.TimestampOrBuilder getStartTimeOrBuilder()

 The start timestamp of window where stats were generated.
 For objectives where time window doesn't make sense (e.g. Featurestore
 Snapshot Monitoring), start_time is only used to indicate the monitoring
 intervals, so it always equals to (end_time - monitoring_interval).
 

.google.protobuf.Timestamp start_time = 7;

Specified by:

getStartTimeOrBuilder in interface FeatureStatsAnomalyOrBuilder

hasEndTime

public boolean hasEndTime()

 The end timestamp of window where stats were generated.
 For objectives where time window doesn't make sense (e.g. Featurestore
 Snapshot Monitoring), end_time indicates the timestamp of the data used to
 generate stats (e.g. timestamp we take snapshots for feature values).
 

.google.protobuf.Timestamp end_time = 8;

Specified by:

hasEndTime in interface FeatureStatsAnomalyOrBuilder

Returns:

Whether the endTime field is set.

getEndTime

public com.google.protobuf.Timestamp getEndTime()

 The end timestamp of window where stats were generated.
 For objectives where time window doesn't make sense (e.g. Featurestore
 Snapshot Monitoring), end_time indicates the timestamp of the data used to
 generate stats (e.g. timestamp we take snapshots for feature values).
 

.google.protobuf.Timestamp end_time = 8;

Specified by:

getEndTime in interface FeatureStatsAnomalyOrBuilder

Returns:

The endTime.

setEndTime

public FeatureStatsAnomaly.Builder setEndTime(com.google.protobuf.Timestamp value)

 The end timestamp of window where stats were generated.
 For objectives where time window doesn't make sense (e.g. Featurestore
 Snapshot Monitoring), end_time indicates the timestamp of the data used to
 generate stats (e.g. timestamp we take snapshots for feature values).
 

.google.protobuf.Timestamp end_time = 8;

setEndTime

public FeatureStatsAnomaly.Builder setEndTime(com.google.protobuf.Timestamp.Builder builderForValue)

 The end timestamp of window where stats were generated.
 For objectives where time window doesn't make sense (e.g. Featurestore
 Snapshot Monitoring), end_time indicates the timestamp of the data used to
 generate stats (e.g. timestamp we take snapshots for feature values).
 

.google.protobuf.Timestamp end_time = 8;

mergeEndTime

public FeatureStatsAnomaly.Builder mergeEndTime(com.google.protobuf.Timestamp value)

 The end timestamp of window where stats were generated.
 For objectives where time window doesn't make sense (e.g. Featurestore
 Snapshot Monitoring), end_time indicates the timestamp of the data used to
 generate stats (e.g. timestamp we take snapshots for feature values).
 

.google.protobuf.Timestamp end_time = 8;

clearEndTime

public FeatureStatsAnomaly.Builder clearEndTime()

 The end timestamp of window where stats were generated.
 For objectives where time window doesn't make sense (e.g. Featurestore
 Snapshot Monitoring), end_time indicates the timestamp of the data used to
 generate stats (e.g. timestamp we take snapshots for feature values).
 

.google.protobuf.Timestamp end_time = 8;

getEndTimeBuilder

public com.google.protobuf.Timestamp.Builder getEndTimeBuilder()

 The end timestamp of window where stats were generated.
 For objectives where time window doesn't make sense (e.g. Featurestore
 Snapshot Monitoring), end_time indicates the timestamp of the data used to
 generate stats (e.g. timestamp we take snapshots for feature values).
 

.google.protobuf.Timestamp end_time = 8;

getEndTimeOrBuilder

public com.google.protobuf.TimestampOrBuilder getEndTimeOrBuilder()

 The end timestamp of window where stats were generated.
 For objectives where time window doesn't make sense (e.g. Featurestore
 Snapshot Monitoring), end_time indicates the timestamp of the data used to
 generate stats (e.g. timestamp we take snapshots for feature values).
 

.google.protobuf.Timestamp end_time = 8;

Specified by:

getEndTimeOrBuilder in interface FeatureStatsAnomalyOrBuilder

setUnknownFields

public final FeatureStatsAnomaly.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

setUnknownFields in interface com.google.protobuf.Message.Builder

Overrides:

setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<FeatureStatsAnomaly.Builder>

mergeUnknownFields

public final FeatureStatsAnomaly.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

mergeUnknownFields in interface com.google.protobuf.Message.Builder

Overrides:

mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<FeatureStatsAnomaly.Builder>