Uses of Class
com.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig.Builder

Packages that use ModelMonitoringConfig.Builder

Package	Description
com.google.cloud.aiplatform.v1beta1

Uses of ModelMonitoringConfig.Builder in com.google.cloud.aiplatform.v1beta1

Methods in com.google.cloud.aiplatform.v1beta1 that return ModelMonitoringConfig.Builder

Modifier and Type	Method	Description
ModelMonitoringConfig.Builder	ModelMonitoringConfig.Builder.addAllObjectiveConfigs(Iterable<? extends ModelMonitoringObjectiveConfig> values)	Model monitoring objective config.
ModelMonitoringConfig.Builder	ModelMonitoringConfig.Builder.addObjectiveConfigs(int index, ModelMonitoringObjectiveConfig value)	Model monitoring objective config.
ModelMonitoringConfig.Builder	ModelMonitoringConfig.Builder.addObjectiveConfigs(int index, ModelMonitoringObjectiveConfig.Builder builderForValue)	Model monitoring objective config.
ModelMonitoringConfig.Builder	ModelMonitoringConfig.Builder.addObjectiveConfigs(ModelMonitoringObjectiveConfig value)	Model monitoring objective config.
ModelMonitoringConfig.Builder	ModelMonitoringConfig.Builder.addObjectiveConfigs(ModelMonitoringObjectiveConfig.Builder builderForValue)	Model monitoring objective config.
ModelMonitoringConfig.Builder	ModelMonitoringConfig.Builder.clear()
ModelMonitoringConfig.Builder	ModelMonitoringConfig.Builder.clearAlertConfig()	Model monitoring alert config.
ModelMonitoringConfig.Builder	ModelMonitoringConfig.Builder.clearAnalysisInstanceSchemaUri()	YAML schema file uri in Cloud Storage describing the format of a single instance that you want Tensorflow Data Validation (TFDV) to analyze.
ModelMonitoringConfig.Builder	ModelMonitoringConfig.Builder.clearObjectiveConfigs()	Model monitoring objective config.
ModelMonitoringConfig.Builder	ModelMonitoringConfig.Builder.clearStatsAnomaliesBaseDirectory()	A Google Cloud Storage location for batch prediction model monitoring to dump statistics and anomalies.
ModelMonitoringConfig.Builder	BatchPredictionJob.Builder.getModelMonitoringConfigBuilder()	Model monitoring config will be used for analysis model behaviors, based on the input and output to the batch prediction job, as well as the provided training dataset.
ModelMonitoringConfig.Builder	ModelMonitoringConfig.Builder.mergeAlertConfig(ModelMonitoringAlertConfig value)	Model monitoring alert config.
ModelMonitoringConfig.Builder	ModelMonitoringConfig.Builder.mergeFrom(ModelMonitoringConfig other)
ModelMonitoringConfig.Builder	ModelMonitoringConfig.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ModelMonitoringConfig.Builder	ModelMonitoringConfig.Builder.mergeFrom(com.google.protobuf.Message other)
ModelMonitoringConfig.Builder	ModelMonitoringConfig.Builder.mergeStatsAnomaliesBaseDirectory(GcsDestination value)	A Google Cloud Storage location for batch prediction model monitoring to dump statistics and anomalies.
static ModelMonitoringConfig.Builder	ModelMonitoringConfig.newBuilder()
static ModelMonitoringConfig.Builder	ModelMonitoringConfig.newBuilder(ModelMonitoringConfig prototype)
ModelMonitoringConfig.Builder	ModelMonitoringConfig.newBuilderForType()
protected ModelMonitoringConfig.Builder	ModelMonitoringConfig.newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent)
ModelMonitoringConfig.Builder	ModelMonitoringConfig.Builder.removeObjectiveConfigs(int index)	Model monitoring objective config.
ModelMonitoringConfig.Builder	ModelMonitoringConfig.Builder.setAlertConfig(ModelMonitoringAlertConfig value)	Model monitoring alert config.
ModelMonitoringConfig.Builder	ModelMonitoringConfig.Builder.setAlertConfig(ModelMonitoringAlertConfig.Builder builderForValue)	Model monitoring alert config.
ModelMonitoringConfig.Builder	ModelMonitoringConfig.Builder.setAnalysisInstanceSchemaUri(String value)	YAML schema file uri in Cloud Storage describing the format of a single instance that you want Tensorflow Data Validation (TFDV) to analyze.
ModelMonitoringConfig.Builder	ModelMonitoringConfig.Builder.setAnalysisInstanceSchemaUriBytes(com.google.protobuf.ByteString value)	YAML schema file uri in Cloud Storage describing the format of a single instance that you want Tensorflow Data Validation (TFDV) to analyze.
ModelMonitoringConfig.Builder	ModelMonitoringConfig.Builder.setObjectiveConfigs(int index, ModelMonitoringObjectiveConfig value)	Model monitoring objective config.
ModelMonitoringConfig.Builder	ModelMonitoringConfig.Builder.setObjectiveConfigs(int index, ModelMonitoringObjectiveConfig.Builder builderForValue)	Model monitoring objective config.
ModelMonitoringConfig.Builder	ModelMonitoringConfig.Builder.setStatsAnomaliesBaseDirectory(GcsDestination value)	A Google Cloud Storage location for batch prediction model monitoring to dump statistics and anomalies.
ModelMonitoringConfig.Builder	ModelMonitoringConfig.Builder.setStatsAnomaliesBaseDirectory(GcsDestination.Builder builderForValue)	A Google Cloud Storage location for batch prediction model monitoring to dump statistics and anomalies.
ModelMonitoringConfig.Builder	ModelMonitoringConfig.toBuilder()

Methods in com.google.cloud.aiplatform.v1beta1 with parameters of type ModelMonitoringConfig.Builder

Modifier and Type	Method	Description
BatchPredictionJob.Builder	BatchPredictionJob.Builder.setModelMonitoringConfig(ModelMonitoringConfig.Builder builderForValue)	Model monitoring config will be used for analysis model behaviors, based on the input and output to the batch prediction job, as well as the provided training dataset.