Uses of Class
com.google.cloud.aiplatform.v1beta1.ModelMonitoringConfig
Packages that use ModelMonitoringConfig
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Uses of ModelMonitoringConfig in com.google.cloud.aiplatform.v1beta1
Methods in com.google.cloud.aiplatform.v1beta1 that return ModelMonitoringConfigModifier and TypeMethodDescriptionModelMonitoringConfig.Builder.build()ModelMonitoringConfig.Builder.buildPartial()static ModelMonitoringConfigModelMonitoringConfig.getDefaultInstance()ModelMonitoringConfig.Builder.getDefaultInstanceForType()ModelMonitoringConfig.getDefaultInstanceForType()BatchPredictionJob.Builder.getModelMonitoringConfig()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.BatchPredictionJob.getModelMonitoringConfig()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.BatchPredictionJobOrBuilder.getModelMonitoringConfig()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.static ModelMonitoringConfigModelMonitoringConfig.parseDelimitedFrom(InputStream input) static ModelMonitoringConfigModelMonitoringConfig.parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static ModelMonitoringConfigModelMonitoringConfig.parseFrom(byte[] data) static ModelMonitoringConfigModelMonitoringConfig.parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static ModelMonitoringConfigModelMonitoringConfig.parseFrom(com.google.protobuf.ByteString data) static ModelMonitoringConfigModelMonitoringConfig.parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static ModelMonitoringConfigModelMonitoringConfig.parseFrom(com.google.protobuf.CodedInputStream input) static ModelMonitoringConfigModelMonitoringConfig.parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static ModelMonitoringConfigModelMonitoringConfig.parseFrom(InputStream input) static ModelMonitoringConfigModelMonitoringConfig.parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static ModelMonitoringConfigModelMonitoringConfig.parseFrom(ByteBuffer data) static ModelMonitoringConfigModelMonitoringConfig.parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) Methods in com.google.cloud.aiplatform.v1beta1 that return types with arguments of type ModelMonitoringConfigModifier and TypeMethodDescriptioncom.google.protobuf.Parser<ModelMonitoringConfig>ModelMonitoringConfig.getParserForType()static com.google.protobuf.Parser<ModelMonitoringConfig>ModelMonitoringConfig.parser()Methods in com.google.cloud.aiplatform.v1beta1 with parameters of type ModelMonitoringConfigModifier and TypeMethodDescriptionModelMonitoringConfig.Builder.mergeFrom(ModelMonitoringConfig other) BatchPredictionJob.Builder.mergeModelMonitoringConfig(ModelMonitoringConfig value) 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.newBuilder(ModelMonitoringConfig prototype) BatchPredictionJob.Builder.setModelMonitoringConfig(ModelMonitoringConfig value) 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.