Interface ModelMonitoringStatsDataPointOrBuilder (3.55.0)

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public interface ModelMonitoringStatsDataPointOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getAlgorithm()

public abstract String getAlgorithm()

Algorithm used to calculated the metrics, eg: jensen_shannon_divergence, l_infinity.

string algorithm = 8;

Returns
Type	Description
String	The algorithm.

getAlgorithmBytes()

public abstract ByteString getAlgorithmBytes()

Algorithm used to calculated the metrics, eg: jensen_shannon_divergence, l_infinity.

string algorithm = 8;

Returns
Type	Description
ByteString	The bytes for algorithm.

getBaselineStats()

public abstract ModelMonitoringStatsDataPoint.TypedValue getBaselineStats()

Statistics from baseline dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue baseline_stats = 2;

Returns
Type	Description
ModelMonitoringStatsDataPoint.TypedValue	The baselineStats.

getBaselineStatsOrBuilder()

public abstract ModelMonitoringStatsDataPoint.TypedValueOrBuilder getBaselineStatsOrBuilder()

Statistics from baseline dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue baseline_stats = 2;

Returns
Type	Description
ModelMonitoringStatsDataPoint.TypedValueOrBuilder

getCreateTime()

public abstract Timestamp getCreateTime()

Statistics create time.

.google.protobuf.Timestamp create_time = 7;

Returns
Type	Description
Timestamp	The createTime.

getCreateTimeOrBuilder()

public abstract TimestampOrBuilder getCreateTimeOrBuilder()

Statistics create time.

.google.protobuf.Timestamp create_time = 7;

Returns
Type	Description
TimestampOrBuilder

getCurrentStats()

public abstract ModelMonitoringStatsDataPoint.TypedValue getCurrentStats()

Statistics from current dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue current_stats = 1;

Returns
Type	Description
ModelMonitoringStatsDataPoint.TypedValue	The currentStats.

getCurrentStatsOrBuilder()

public abstract ModelMonitoringStatsDataPoint.TypedValueOrBuilder getCurrentStatsOrBuilder()

Statistics from current dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue current_stats = 1;

Returns
Type	Description
ModelMonitoringStatsDataPoint.TypedValueOrBuilder

getHasAnomaly()

public abstract boolean getHasAnomaly()

Indicate if the statistics has anomaly.

bool has_anomaly = 4;

Returns
Type	Description
boolean	The hasAnomaly.

getModelMonitoringJob()

public abstract String getModelMonitoringJob()

Model monitoring job resource name.

string model_monitoring_job = 5;

Returns
Type	Description
String	The modelMonitoringJob.

getModelMonitoringJobBytes()

public abstract ByteString getModelMonitoringJobBytes()

Model monitoring job resource name.

string model_monitoring_job = 5;

Returns
Type	Description
ByteString	The bytes for modelMonitoringJob.

getSchedule()

public abstract String getSchedule()

Schedule resource name.

string schedule = 6;

Returns
Type	Description
String	The schedule.

getScheduleBytes()

public abstract ByteString getScheduleBytes()

Schedule resource name.

string schedule = 6;

Returns
Type	Description
ByteString	The bytes for schedule.

getThresholdValue()

public abstract double getThresholdValue()

Threshold value.

double threshold_value = 3;

Returns
Type	Description
double	The thresholdValue.

hasBaselineStats()

public abstract boolean hasBaselineStats()

Statistics from baseline dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue baseline_stats = 2;

Returns
Type	Description
boolean	Whether the baselineStats field is set.

hasCreateTime()

public abstract boolean hasCreateTime()

Statistics create time.

.google.protobuf.Timestamp create_time = 7;

Returns
Type	Description
boolean	Whether the createTime field is set.

hasCurrentStats()

public abstract boolean hasCurrentStats()

Statistics from current dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue current_stats = 1;

Returns
Type	Description
boolean	Whether the currentStats field is set.