Uses of Class
com.google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ThresholdConfig

Packages that use FeaturestoreMonitoringConfig.ThresholdConfig

Package	Description
com.google.cloud.aiplatform.v1beta1	A client to Vertex AI API

Uses of FeaturestoreMonitoringConfig.ThresholdConfig in com.google.cloud.aiplatform.v1beta1

Methods in com.google.cloud.aiplatform.v1beta1 that return FeaturestoreMonitoringConfig.ThresholdConfig

Modifier and Type	Method	Description
FeaturestoreMonitoringConfig.ThresholdConfig	FeaturestoreMonitoringConfig.ThresholdConfig.Builder.build()
FeaturestoreMonitoringConfig.ThresholdConfig	FeaturestoreMonitoringConfig.ThresholdConfig.Builder.buildPartial()
FeaturestoreMonitoringConfig.ThresholdConfig	FeaturestoreMonitoringConfig.Builder.getCategoricalThresholdConfig()	Threshold for categorical features of anomaly detection.
FeaturestoreMonitoringConfig.ThresholdConfig	FeaturestoreMonitoringConfig.getCategoricalThresholdConfig()	Threshold for categorical features of anomaly detection.
FeaturestoreMonitoringConfig.ThresholdConfig	FeaturestoreMonitoringConfigOrBuilder.getCategoricalThresholdConfig()	Threshold for categorical features of anomaly detection.
static FeaturestoreMonitoringConfig.ThresholdConfig	FeaturestoreMonitoringConfig.ThresholdConfig.getDefaultInstance()
FeaturestoreMonitoringConfig.ThresholdConfig	FeaturestoreMonitoringConfig.ThresholdConfig.Builder.getDefaultInstanceForType()
FeaturestoreMonitoringConfig.ThresholdConfig	FeaturestoreMonitoringConfig.ThresholdConfig.getDefaultInstanceForType()
FeaturestoreMonitoringConfig.ThresholdConfig	FeaturestoreMonitoringConfig.Builder.getNumericalThresholdConfig()	Threshold for numerical features of anomaly detection.
FeaturestoreMonitoringConfig.ThresholdConfig	FeaturestoreMonitoringConfig.getNumericalThresholdConfig()	Threshold for numerical features of anomaly detection.
FeaturestoreMonitoringConfig.ThresholdConfig	FeaturestoreMonitoringConfigOrBuilder.getNumericalThresholdConfig()	Threshold for numerical features of anomaly detection.
static FeaturestoreMonitoringConfig.ThresholdConfig	FeaturestoreMonitoringConfig.ThresholdConfig.parseDelimitedFrom(InputStream input)
static FeaturestoreMonitoringConfig.ThresholdConfig	FeaturestoreMonitoringConfig.ThresholdConfig.parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static FeaturestoreMonitoringConfig.ThresholdConfig	FeaturestoreMonitoringConfig.ThresholdConfig.parseFrom(byte[] data)
static FeaturestoreMonitoringConfig.ThresholdConfig	FeaturestoreMonitoringConfig.ThresholdConfig.parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static FeaturestoreMonitoringConfig.ThresholdConfig	FeaturestoreMonitoringConfig.ThresholdConfig.parseFrom(com.google.protobuf.ByteString data)
static FeaturestoreMonitoringConfig.ThresholdConfig	FeaturestoreMonitoringConfig.ThresholdConfig.parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static FeaturestoreMonitoringConfig.ThresholdConfig	FeaturestoreMonitoringConfig.ThresholdConfig.parseFrom(com.google.protobuf.CodedInputStream input)
static FeaturestoreMonitoringConfig.ThresholdConfig	FeaturestoreMonitoringConfig.ThresholdConfig.parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static FeaturestoreMonitoringConfig.ThresholdConfig	FeaturestoreMonitoringConfig.ThresholdConfig.parseFrom(InputStream input)
static FeaturestoreMonitoringConfig.ThresholdConfig	FeaturestoreMonitoringConfig.ThresholdConfig.parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static FeaturestoreMonitoringConfig.ThresholdConfig	FeaturestoreMonitoringConfig.ThresholdConfig.parseFrom(ByteBuffer data)
static FeaturestoreMonitoringConfig.ThresholdConfig	FeaturestoreMonitoringConfig.ThresholdConfig.parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Methods in com.google.cloud.aiplatform.v1beta1 that return types with arguments of type FeaturestoreMonitoringConfig.ThresholdConfig

Modifier and Type	Method	Description
com.google.protobuf.Parser<FeaturestoreMonitoringConfig.ThresholdConfig>	FeaturestoreMonitoringConfig.ThresholdConfig.getParserForType()
static com.google.protobuf.Parser<FeaturestoreMonitoringConfig.ThresholdConfig>	FeaturestoreMonitoringConfig.ThresholdConfig.parser()

Methods in com.google.cloud.aiplatform.v1beta1 with parameters of type FeaturestoreMonitoringConfig.ThresholdConfig

Modifier and Type	Method	Description
FeaturestoreMonitoringConfig.Builder	FeaturestoreMonitoringConfig.Builder.mergeCategoricalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig value)	Threshold for categorical features of anomaly detection.
FeaturestoreMonitoringConfig.ThresholdConfig.Builder	FeaturestoreMonitoringConfig.ThresholdConfig.Builder.mergeFrom(FeaturestoreMonitoringConfig.ThresholdConfig other)
FeaturestoreMonitoringConfig.Builder	FeaturestoreMonitoringConfig.Builder.mergeNumericalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig value)	Threshold for numerical features of anomaly detection.
static FeaturestoreMonitoringConfig.ThresholdConfig.Builder	FeaturestoreMonitoringConfig.ThresholdConfig.newBuilder(FeaturestoreMonitoringConfig.ThresholdConfig prototype)
FeaturestoreMonitoringConfig.Builder	FeaturestoreMonitoringConfig.Builder.setCategoricalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig value)	Threshold for categorical features of anomaly detection.
FeaturestoreMonitoringConfig.Builder	FeaturestoreMonitoringConfig.Builder.setNumericalThresholdConfig(FeaturestoreMonitoringConfig.ThresholdConfig value)	Threshold for numerical features of anomaly detection.