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public static final class ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder extends GeneratedMessageV3.Builder<ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder> implements ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomaliesOrBuilder
Historical Stats (and Anomalies) for a specific Feature.
Protobuf type
google.cloud.aiplatform.v1.ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.BuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Type | Description |
Descriptor |
Methods
addAllPredictionStats(Iterable<? extends FeatureStatsAnomaly> values)
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder addAllPredictionStats(Iterable<? extends FeatureStatsAnomaly> values)
A list of historical stats generated by different time window's Prediction Dataset.
repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;
Name | Description |
values | Iterable<? extends com.google.cloud.aiplatform.v1.FeatureStatsAnomaly> |
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
addPredictionStats(FeatureStatsAnomaly value)
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder addPredictionStats(FeatureStatsAnomaly value)
A list of historical stats generated by different time window's Prediction Dataset.
repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;
Name | Description |
value | FeatureStatsAnomaly |
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
addPredictionStats(FeatureStatsAnomaly.Builder builderForValue)
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder addPredictionStats(FeatureStatsAnomaly.Builder builderForValue)
A list of historical stats generated by different time window's Prediction Dataset.
repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;
Name | Description |
builderForValue | FeatureStatsAnomaly.Builder |
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
addPredictionStats(int index, FeatureStatsAnomaly value)
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder addPredictionStats(int index, FeatureStatsAnomaly value)
A list of historical stats generated by different time window's Prediction Dataset.
repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;
Name | Description |
index | int |
value | FeatureStatsAnomaly |
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
addPredictionStats(int index, FeatureStatsAnomaly.Builder builderForValue)
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder addPredictionStats(int index, FeatureStatsAnomaly.Builder builderForValue)
A list of historical stats generated by different time window's Prediction Dataset.
repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;
Name | Description |
index | int |
builderForValue | FeatureStatsAnomaly.Builder |
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
addPredictionStatsBuilder()
public FeatureStatsAnomaly.Builder addPredictionStatsBuilder()
A list of historical stats generated by different time window's Prediction Dataset.
repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;
Type | Description |
FeatureStatsAnomaly.Builder |
addPredictionStatsBuilder(int index)
public FeatureStatsAnomaly.Builder addPredictionStatsBuilder(int index)
A list of historical stats generated by different time window's Prediction Dataset.
repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;
Name | Description |
index | int |
Type | Description |
FeatureStatsAnomaly.Builder |
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
build()
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies build()
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies |
buildPartial()
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies buildPartial()
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies |
clear()
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder clear()
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
clearFeatureDisplayName()
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder clearFeatureDisplayName()
Display Name of the Feature.
string feature_display_name = 1;
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder | This builder for chaining. |
clearField(Descriptors.FieldDescriptor field)
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder clearField(Descriptors.FieldDescriptor field)
Name | Description |
field | FieldDescriptor |
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
clearOneof(Descriptors.OneofDescriptor oneof)
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Name | Description |
oneof | OneofDescriptor |
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
clearPredictionStats()
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder clearPredictionStats()
A list of historical stats generated by different time window's Prediction Dataset.
repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
clearThreshold()
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder clearThreshold()
Threshold for anomaly detection.
.google.cloud.aiplatform.v1.ThresholdConfig threshold = 3;
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
clearTrainingStats()
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder clearTrainingStats()
Stats calculated for the Training Dataset.
.google.cloud.aiplatform.v1.FeatureStatsAnomaly training_stats = 4;
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
clone()
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder clone()
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
getDefaultInstanceForType()
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies getDefaultInstanceForType()
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Type | Description |
Descriptor |
getFeatureDisplayName()
public String getFeatureDisplayName()
Display Name of the Feature.
string feature_display_name = 1;
Type | Description |
String | The featureDisplayName. |
getFeatureDisplayNameBytes()
public ByteString getFeatureDisplayNameBytes()
Display Name of the Feature.
string feature_display_name = 1;
Type | Description |
ByteString | The bytes for featureDisplayName. |
getPredictionStats(int index)
public FeatureStatsAnomaly getPredictionStats(int index)
A list of historical stats generated by different time window's Prediction Dataset.
repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;
Name | Description |
index | int |
Type | Description |
FeatureStatsAnomaly |
getPredictionStatsBuilder(int index)
public FeatureStatsAnomaly.Builder getPredictionStatsBuilder(int index)
A list of historical stats generated by different time window's Prediction Dataset.
repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;
Name | Description |
index | int |
Type | Description |
FeatureStatsAnomaly.Builder |
getPredictionStatsBuilderList()
public List<FeatureStatsAnomaly.Builder> getPredictionStatsBuilderList()
A list of historical stats generated by different time window's Prediction Dataset.
repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;
Type | Description |
List<Builder> |
getPredictionStatsCount()
public int getPredictionStatsCount()
A list of historical stats generated by different time window's Prediction Dataset.
repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;
Type | Description |
int |
getPredictionStatsList()
public List<FeatureStatsAnomaly> getPredictionStatsList()
A list of historical stats generated by different time window's Prediction Dataset.
repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;
Type | Description |
List<FeatureStatsAnomaly> |
getPredictionStatsOrBuilder(int index)
public FeatureStatsAnomalyOrBuilder getPredictionStatsOrBuilder(int index)
A list of historical stats generated by different time window's Prediction Dataset.
repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;
Name | Description |
index | int |
Type | Description |
FeatureStatsAnomalyOrBuilder |
getPredictionStatsOrBuilderList()
public List<? extends FeatureStatsAnomalyOrBuilder> getPredictionStatsOrBuilderList()
A list of historical stats generated by different time window's Prediction Dataset.
repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;
Type | Description |
List<? extends com.google.cloud.aiplatform.v1.FeatureStatsAnomalyOrBuilder> |
getThreshold()
public ThresholdConfig getThreshold()
Threshold for anomaly detection.
.google.cloud.aiplatform.v1.ThresholdConfig threshold = 3;
Type | Description |
ThresholdConfig | The threshold. |
getThresholdBuilder()
public ThresholdConfig.Builder getThresholdBuilder()
Threshold for anomaly detection.
.google.cloud.aiplatform.v1.ThresholdConfig threshold = 3;
Type | Description |
ThresholdConfig.Builder |
getThresholdOrBuilder()
public ThresholdConfigOrBuilder getThresholdOrBuilder()
Threshold for anomaly detection.
.google.cloud.aiplatform.v1.ThresholdConfig threshold = 3;
Type | Description |
ThresholdConfigOrBuilder |
getTrainingStats()
public FeatureStatsAnomaly getTrainingStats()
Stats calculated for the Training Dataset.
.google.cloud.aiplatform.v1.FeatureStatsAnomaly training_stats = 4;
Type | Description |
FeatureStatsAnomaly | The trainingStats. |
getTrainingStatsBuilder()
public FeatureStatsAnomaly.Builder getTrainingStatsBuilder()
Stats calculated for the Training Dataset.
.google.cloud.aiplatform.v1.FeatureStatsAnomaly training_stats = 4;
Type | Description |
FeatureStatsAnomaly.Builder |
getTrainingStatsOrBuilder()
public FeatureStatsAnomalyOrBuilder getTrainingStatsOrBuilder()
Stats calculated for the Training Dataset.
.google.cloud.aiplatform.v1.FeatureStatsAnomaly training_stats = 4;
Type | Description |
FeatureStatsAnomalyOrBuilder |
hasThreshold()
public boolean hasThreshold()
Threshold for anomaly detection.
.google.cloud.aiplatform.v1.ThresholdConfig threshold = 3;
Type | Description |
boolean | Whether the threshold field is set. |
hasTrainingStats()
public boolean hasTrainingStats()
Stats calculated for the Training Dataset.
.google.cloud.aiplatform.v1.FeatureStatsAnomaly training_stats = 4;
Type | Description |
boolean | Whether the trainingStats field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Type | Description |
boolean |
mergeFrom(ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies other)
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder mergeFrom(ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies other)
Name | Description |
other | ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies |
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
Type | Description |
IOException |
mergeFrom(Message other)
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder mergeFrom(Message other)
Name | Description |
other | Message |
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
mergeThreshold(ThresholdConfig value)
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder mergeThreshold(ThresholdConfig value)
Threshold for anomaly detection.
.google.cloud.aiplatform.v1.ThresholdConfig threshold = 3;
Name | Description |
value | ThresholdConfig |
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
mergeTrainingStats(FeatureStatsAnomaly value)
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder mergeTrainingStats(FeatureStatsAnomaly value)
Stats calculated for the Training Dataset.
.google.cloud.aiplatform.v1.FeatureStatsAnomaly training_stats = 4;
Name | Description |
value | FeatureStatsAnomaly |
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
removePredictionStats(int index)
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder removePredictionStats(int index)
A list of historical stats generated by different time window's Prediction Dataset.
repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;
Name | Description |
index | int |
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
setFeatureDisplayName(String value)
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder setFeatureDisplayName(String value)
Display Name of the Feature.
string feature_display_name = 1;
Name | Description |
value | String The featureDisplayName to set. |
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder | This builder for chaining. |
setFeatureDisplayNameBytes(ByteString value)
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder setFeatureDisplayNameBytes(ByteString value)
Display Name of the Feature.
string feature_display_name = 1;
Name | Description |
value | ByteString The bytes for featureDisplayName to set. |
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder | This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder setField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
setPredictionStats(int index, FeatureStatsAnomaly value)
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder setPredictionStats(int index, FeatureStatsAnomaly value)
A list of historical stats generated by different time window's Prediction Dataset.
repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;
Name | Description |
index | int |
value | FeatureStatsAnomaly |
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
setPredictionStats(int index, FeatureStatsAnomaly.Builder builderForValue)
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder setPredictionStats(int index, FeatureStatsAnomaly.Builder builderForValue)
A list of historical stats generated by different time window's Prediction Dataset.
repeated .google.cloud.aiplatform.v1.FeatureStatsAnomaly prediction_stats = 5;
Name | Description |
index | int |
builderForValue | FeatureStatsAnomaly.Builder |
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Name | Description |
field | FieldDescriptor |
index | int |
value | Object |
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
setThreshold(ThresholdConfig value)
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder setThreshold(ThresholdConfig value)
Threshold for anomaly detection.
.google.cloud.aiplatform.v1.ThresholdConfig threshold = 3;
Name | Description |
value | ThresholdConfig |
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
setThreshold(ThresholdConfig.Builder builderForValue)
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder setThreshold(ThresholdConfig.Builder builderForValue)
Threshold for anomaly detection.
.google.cloud.aiplatform.v1.ThresholdConfig threshold = 3;
Name | Description |
builderForValue | ThresholdConfig.Builder |
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
setTrainingStats(FeatureStatsAnomaly value)
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder setTrainingStats(FeatureStatsAnomaly value)
Stats calculated for the Training Dataset.
.google.cloud.aiplatform.v1.FeatureStatsAnomaly training_stats = 4;
Name | Description |
value | FeatureStatsAnomaly |
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
setTrainingStats(FeatureStatsAnomaly.Builder builderForValue)
public ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder setTrainingStats(FeatureStatsAnomaly.Builder builderForValue)
Stats calculated for the Training Dataset.
.google.cloud.aiplatform.v1.FeatureStatsAnomaly training_stats = 4;
Name | Description |
builderForValue | FeatureStatsAnomaly.Builder |
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |
setUnknownFields(UnknownFieldSet unknownFields)
public final ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder setUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
ModelMonitoringStatsAnomalies.FeatureHistoricStatsAnomalies.Builder |