public static final class ModelMonitoringStatsDataPoint.Builder extends com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.Builder> implements ModelMonitoringStatsDataPointOrBuilder
Represents a single statistics data point.Protobuf type
google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint| Modifier and Type | Method and Description |
|---|---|
ModelMonitoringStatsDataPoint.Builder |
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value) |
ModelMonitoringStatsDataPoint |
build() |
ModelMonitoringStatsDataPoint |
buildPartial() |
ModelMonitoringStatsDataPoint.Builder |
clear() |
ModelMonitoringStatsDataPoint.Builder |
clearAlgorithm()
Algorithm used to calculated the metrics, eg: jensen_shannon_divergence,
l_infinity.
|
ModelMonitoringStatsDataPoint.Builder |
clearBaselineStats()
Statistics from baseline dataset.
|
ModelMonitoringStatsDataPoint.Builder |
clearCreateTime()
Statistics create time.
|
ModelMonitoringStatsDataPoint.Builder |
clearCurrentStats()
Statistics from current dataset.
|
ModelMonitoringStatsDataPoint.Builder |
clearField(com.google.protobuf.Descriptors.FieldDescriptor field) |
ModelMonitoringStatsDataPoint.Builder |
clearHasAnomaly()
Indicate if the statistics has anomaly.
|
ModelMonitoringStatsDataPoint.Builder |
clearModelMonitoringJob()
Model monitoring job resource name.
|
ModelMonitoringStatsDataPoint.Builder |
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) |
ModelMonitoringStatsDataPoint.Builder |
clearSchedule()
Schedule resource name.
|
ModelMonitoringStatsDataPoint.Builder |
clearThresholdValue()
Threshold value.
|
ModelMonitoringStatsDataPoint.Builder |
clone() |
String |
getAlgorithm()
Algorithm used to calculated the metrics, eg: jensen_shannon_divergence,
l_infinity.
|
com.google.protobuf.ByteString |
getAlgorithmBytes()
Algorithm used to calculated the metrics, eg: jensen_shannon_divergence,
l_infinity.
|
ModelMonitoringStatsDataPoint.TypedValue |
getBaselineStats()
Statistics from baseline dataset.
|
ModelMonitoringStatsDataPoint.TypedValue.Builder |
getBaselineStatsBuilder()
Statistics from baseline dataset.
|
ModelMonitoringStatsDataPoint.TypedValueOrBuilder |
getBaselineStatsOrBuilder()
Statistics from baseline dataset.
|
com.google.protobuf.Timestamp |
getCreateTime()
Statistics create time.
|
com.google.protobuf.Timestamp.Builder |
getCreateTimeBuilder()
Statistics create time.
|
com.google.protobuf.TimestampOrBuilder |
getCreateTimeOrBuilder()
Statistics create time.
|
ModelMonitoringStatsDataPoint.TypedValue |
getCurrentStats()
Statistics from current dataset.
|
ModelMonitoringStatsDataPoint.TypedValue.Builder |
getCurrentStatsBuilder()
Statistics from current dataset.
|
ModelMonitoringStatsDataPoint.TypedValueOrBuilder |
getCurrentStatsOrBuilder()
Statistics from current dataset.
|
ModelMonitoringStatsDataPoint |
getDefaultInstanceForType() |
static com.google.protobuf.Descriptors.Descriptor |
getDescriptor() |
com.google.protobuf.Descriptors.Descriptor |
getDescriptorForType() |
boolean |
getHasAnomaly()
Indicate if the statistics has anomaly.
|
String |
getModelMonitoringJob()
Model monitoring job resource name.
|
com.google.protobuf.ByteString |
getModelMonitoringJobBytes()
Model monitoring job resource name.
|
String |
getSchedule()
Schedule resource name.
|
com.google.protobuf.ByteString |
getScheduleBytes()
Schedule resource name.
|
double |
getThresholdValue()
Threshold value.
|
boolean |
hasBaselineStats()
Statistics from baseline dataset.
|
boolean |
hasCreateTime()
Statistics create time.
|
boolean |
hasCurrentStats()
Statistics from current dataset.
|
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable |
internalGetFieldAccessorTable() |
boolean |
isInitialized() |
ModelMonitoringStatsDataPoint.Builder |
mergeBaselineStats(ModelMonitoringStatsDataPoint.TypedValue value)
Statistics from baseline dataset.
|
ModelMonitoringStatsDataPoint.Builder |
mergeCreateTime(com.google.protobuf.Timestamp value)
Statistics create time.
|
ModelMonitoringStatsDataPoint.Builder |
mergeCurrentStats(ModelMonitoringStatsDataPoint.TypedValue value)
Statistics from current dataset.
|
ModelMonitoringStatsDataPoint.Builder |
mergeFrom(com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
ModelMonitoringStatsDataPoint.Builder |
mergeFrom(com.google.protobuf.Message other) |
ModelMonitoringStatsDataPoint.Builder |
mergeFrom(ModelMonitoringStatsDataPoint other) |
ModelMonitoringStatsDataPoint.Builder |
mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) |
ModelMonitoringStatsDataPoint.Builder |
setAlgorithm(String value)
Algorithm used to calculated the metrics, eg: jensen_shannon_divergence,
l_infinity.
|
ModelMonitoringStatsDataPoint.Builder |
setAlgorithmBytes(com.google.protobuf.ByteString value)
Algorithm used to calculated the metrics, eg: jensen_shannon_divergence,
l_infinity.
|
ModelMonitoringStatsDataPoint.Builder |
setBaselineStats(ModelMonitoringStatsDataPoint.TypedValue.Builder builderForValue)
Statistics from baseline dataset.
|
ModelMonitoringStatsDataPoint.Builder |
setBaselineStats(ModelMonitoringStatsDataPoint.TypedValue value)
Statistics from baseline dataset.
|
ModelMonitoringStatsDataPoint.Builder |
setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue)
Statistics create time.
|
ModelMonitoringStatsDataPoint.Builder |
setCreateTime(com.google.protobuf.Timestamp value)
Statistics create time.
|
ModelMonitoringStatsDataPoint.Builder |
setCurrentStats(ModelMonitoringStatsDataPoint.TypedValue.Builder builderForValue)
Statistics from current dataset.
|
ModelMonitoringStatsDataPoint.Builder |
setCurrentStats(ModelMonitoringStatsDataPoint.TypedValue value)
Statistics from current dataset.
|
ModelMonitoringStatsDataPoint.Builder |
setField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value) |
ModelMonitoringStatsDataPoint.Builder |
setHasAnomaly(boolean value)
Indicate if the statistics has anomaly.
|
ModelMonitoringStatsDataPoint.Builder |
setModelMonitoringJob(String value)
Model monitoring job resource name.
|
ModelMonitoringStatsDataPoint.Builder |
setModelMonitoringJobBytes(com.google.protobuf.ByteString value)
Model monitoring job resource name.
|
ModelMonitoringStatsDataPoint.Builder |
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
int index,
Object value) |
ModelMonitoringStatsDataPoint.Builder |
setSchedule(String value)
Schedule resource name.
|
ModelMonitoringStatsDataPoint.Builder |
setScheduleBytes(com.google.protobuf.ByteString value)
Schedule resource name.
|
ModelMonitoringStatsDataPoint.Builder |
setThresholdValue(double value)
Threshold value.
|
ModelMonitoringStatsDataPoint.Builder |
setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) |
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, setUnknownFieldsProto3findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toStringaddAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, newUninitializedMessageExceptionequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitpublic static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.Builder>public ModelMonitoringStatsDataPoint.Builder clear()
clear in interface com.google.protobuf.Message.Builderclear in interface com.google.protobuf.MessageLite.Builderclear in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.Builder>public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
getDescriptorForType in interface com.google.protobuf.Message.BuildergetDescriptorForType in interface com.google.protobuf.MessageOrBuildergetDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.Builder>public ModelMonitoringStatsDataPoint getDefaultInstanceForType()
getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilderpublic ModelMonitoringStatsDataPoint build()
build in interface com.google.protobuf.Message.Builderbuild in interface com.google.protobuf.MessageLite.Builderpublic ModelMonitoringStatsDataPoint buildPartial()
buildPartial in interface com.google.protobuf.Message.BuilderbuildPartial in interface com.google.protobuf.MessageLite.Builderpublic ModelMonitoringStatsDataPoint.Builder clone()
clone in interface com.google.protobuf.Message.Builderclone in interface com.google.protobuf.MessageLite.Builderclone in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.Builder>public ModelMonitoringStatsDataPoint.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
setField in interface com.google.protobuf.Message.BuildersetField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.Builder>public ModelMonitoringStatsDataPoint.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
clearField in interface com.google.protobuf.Message.BuilderclearField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.Builder>public ModelMonitoringStatsDataPoint.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
clearOneof in interface com.google.protobuf.Message.BuilderclearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.Builder>public ModelMonitoringStatsDataPoint.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
setRepeatedField in interface com.google.protobuf.Message.BuildersetRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.Builder>public ModelMonitoringStatsDataPoint.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
addRepeatedField in interface com.google.protobuf.Message.BuilderaddRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.Builder>public ModelMonitoringStatsDataPoint.Builder mergeFrom(com.google.protobuf.Message other)
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<ModelMonitoringStatsDataPoint.Builder>public ModelMonitoringStatsDataPoint.Builder mergeFrom(ModelMonitoringStatsDataPoint other)
public final boolean isInitialized()
isInitialized in interface com.google.protobuf.MessageLiteOrBuilderisInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.Builder>public ModelMonitoringStatsDataPoint.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in interface com.google.protobuf.MessageLite.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<ModelMonitoringStatsDataPoint.Builder>IOExceptionpublic boolean hasCurrentStats()
Statistics from current dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue current_stats = 1;
hasCurrentStats in interface ModelMonitoringStatsDataPointOrBuilderpublic ModelMonitoringStatsDataPoint.TypedValue getCurrentStats()
Statistics from current dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue current_stats = 1;
getCurrentStats in interface ModelMonitoringStatsDataPointOrBuilderpublic ModelMonitoringStatsDataPoint.Builder setCurrentStats(ModelMonitoringStatsDataPoint.TypedValue value)
Statistics from current dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue current_stats = 1;
public ModelMonitoringStatsDataPoint.Builder setCurrentStats(ModelMonitoringStatsDataPoint.TypedValue.Builder builderForValue)
Statistics from current dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue current_stats = 1;
public ModelMonitoringStatsDataPoint.Builder mergeCurrentStats(ModelMonitoringStatsDataPoint.TypedValue value)
Statistics from current dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue current_stats = 1;
public ModelMonitoringStatsDataPoint.Builder clearCurrentStats()
Statistics from current dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue current_stats = 1;
public ModelMonitoringStatsDataPoint.TypedValue.Builder getCurrentStatsBuilder()
Statistics from current dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue current_stats = 1;
public ModelMonitoringStatsDataPoint.TypedValueOrBuilder getCurrentStatsOrBuilder()
Statistics from current dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue current_stats = 1;
getCurrentStatsOrBuilder in interface ModelMonitoringStatsDataPointOrBuilderpublic boolean hasBaselineStats()
Statistics from baseline dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue baseline_stats = 2;
hasBaselineStats in interface ModelMonitoringStatsDataPointOrBuilderpublic ModelMonitoringStatsDataPoint.TypedValue getBaselineStats()
Statistics from baseline dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue baseline_stats = 2;
getBaselineStats in interface ModelMonitoringStatsDataPointOrBuilderpublic ModelMonitoringStatsDataPoint.Builder setBaselineStats(ModelMonitoringStatsDataPoint.TypedValue value)
Statistics from baseline dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue baseline_stats = 2;
public ModelMonitoringStatsDataPoint.Builder setBaselineStats(ModelMonitoringStatsDataPoint.TypedValue.Builder builderForValue)
Statistics from baseline dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue baseline_stats = 2;
public ModelMonitoringStatsDataPoint.Builder mergeBaselineStats(ModelMonitoringStatsDataPoint.TypedValue value)
Statistics from baseline dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue baseline_stats = 2;
public ModelMonitoringStatsDataPoint.Builder clearBaselineStats()
Statistics from baseline dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue baseline_stats = 2;
public ModelMonitoringStatsDataPoint.TypedValue.Builder getBaselineStatsBuilder()
Statistics from baseline dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue baseline_stats = 2;
public ModelMonitoringStatsDataPoint.TypedValueOrBuilder getBaselineStatsOrBuilder()
Statistics from baseline dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue baseline_stats = 2;
getBaselineStatsOrBuilder in interface ModelMonitoringStatsDataPointOrBuilderpublic double getThresholdValue()
Threshold value.
double threshold_value = 3;getThresholdValue in interface ModelMonitoringStatsDataPointOrBuilderpublic ModelMonitoringStatsDataPoint.Builder setThresholdValue(double value)
Threshold value.
double threshold_value = 3;value - The thresholdValue to set.public ModelMonitoringStatsDataPoint.Builder clearThresholdValue()
Threshold value.
double threshold_value = 3;public boolean getHasAnomaly()
Indicate if the statistics has anomaly.
bool has_anomaly = 4;getHasAnomaly in interface ModelMonitoringStatsDataPointOrBuilderpublic ModelMonitoringStatsDataPoint.Builder setHasAnomaly(boolean value)
Indicate if the statistics has anomaly.
bool has_anomaly = 4;value - The hasAnomaly to set.public ModelMonitoringStatsDataPoint.Builder clearHasAnomaly()
Indicate if the statistics has anomaly.
bool has_anomaly = 4;public String getModelMonitoringJob()
Model monitoring job resource name.
string model_monitoring_job = 5;getModelMonitoringJob in interface ModelMonitoringStatsDataPointOrBuilderpublic com.google.protobuf.ByteString getModelMonitoringJobBytes()
Model monitoring job resource name.
string model_monitoring_job = 5;getModelMonitoringJobBytes in interface ModelMonitoringStatsDataPointOrBuilderpublic ModelMonitoringStatsDataPoint.Builder setModelMonitoringJob(String value)
Model monitoring job resource name.
string model_monitoring_job = 5;value - The modelMonitoringJob to set.public ModelMonitoringStatsDataPoint.Builder clearModelMonitoringJob()
Model monitoring job resource name.
string model_monitoring_job = 5;public ModelMonitoringStatsDataPoint.Builder setModelMonitoringJobBytes(com.google.protobuf.ByteString value)
Model monitoring job resource name.
string model_monitoring_job = 5;value - The bytes for modelMonitoringJob to set.public String getSchedule()
Schedule resource name.
string schedule = 6;getSchedule in interface ModelMonitoringStatsDataPointOrBuilderpublic com.google.protobuf.ByteString getScheduleBytes()
Schedule resource name.
string schedule = 6;getScheduleBytes in interface ModelMonitoringStatsDataPointOrBuilderpublic ModelMonitoringStatsDataPoint.Builder setSchedule(String value)
Schedule resource name.
string schedule = 6;value - The schedule to set.public ModelMonitoringStatsDataPoint.Builder clearSchedule()
Schedule resource name.
string schedule = 6;public ModelMonitoringStatsDataPoint.Builder setScheduleBytes(com.google.protobuf.ByteString value)
Schedule resource name.
string schedule = 6;value - The bytes for schedule to set.public boolean hasCreateTime()
Statistics create time.
.google.protobuf.Timestamp create_time = 7;hasCreateTime in interface ModelMonitoringStatsDataPointOrBuilderpublic com.google.protobuf.Timestamp getCreateTime()
Statistics create time.
.google.protobuf.Timestamp create_time = 7;getCreateTime in interface ModelMonitoringStatsDataPointOrBuilderpublic ModelMonitoringStatsDataPoint.Builder setCreateTime(com.google.protobuf.Timestamp value)
Statistics create time.
.google.protobuf.Timestamp create_time = 7;public ModelMonitoringStatsDataPoint.Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue)
Statistics create time.
.google.protobuf.Timestamp create_time = 7;public ModelMonitoringStatsDataPoint.Builder mergeCreateTime(com.google.protobuf.Timestamp value)
Statistics create time.
.google.protobuf.Timestamp create_time = 7;public ModelMonitoringStatsDataPoint.Builder clearCreateTime()
Statistics create time.
.google.protobuf.Timestamp create_time = 7;public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder()
Statistics create time.
.google.protobuf.Timestamp create_time = 7;public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder()
Statistics create time.
.google.protobuf.Timestamp create_time = 7;getCreateTimeOrBuilder in interface ModelMonitoringStatsDataPointOrBuilderpublic String getAlgorithm()
Algorithm used to calculated the metrics, eg: jensen_shannon_divergence, l_infinity.
string algorithm = 8;getAlgorithm in interface ModelMonitoringStatsDataPointOrBuilderpublic com.google.protobuf.ByteString getAlgorithmBytes()
Algorithm used to calculated the metrics, eg: jensen_shannon_divergence, l_infinity.
string algorithm = 8;getAlgorithmBytes in interface ModelMonitoringStatsDataPointOrBuilderpublic ModelMonitoringStatsDataPoint.Builder setAlgorithm(String value)
Algorithm used to calculated the metrics, eg: jensen_shannon_divergence, l_infinity.
string algorithm = 8;value - The algorithm to set.public ModelMonitoringStatsDataPoint.Builder clearAlgorithm()
Algorithm used to calculated the metrics, eg: jensen_shannon_divergence, l_infinity.
string algorithm = 8;public ModelMonitoringStatsDataPoint.Builder setAlgorithmBytes(com.google.protobuf.ByteString value)
Algorithm used to calculated the metrics, eg: jensen_shannon_divergence, l_infinity.
string algorithm = 8;value - The bytes for algorithm to set.public final ModelMonitoringStatsDataPoint.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
setUnknownFields in interface com.google.protobuf.Message.BuildersetUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.Builder>public final ModelMonitoringStatsDataPoint.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
mergeUnknownFields in interface com.google.protobuf.Message.BuildermergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringStatsDataPoint.Builder>Copyright © 2025 Google LLC. All rights reserved.