Package com.google.cloud.aiplatform.v1beta1

Class 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 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>

      • 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>