Package com.google.cloud.aiplatform.v1beta1

Interface ModelMonitoringConfigOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
ModelMonitoringConfig, ModelMonitoringConfig.Builder
@Generated public interface ModelMonitoringConfigOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Details

    • getObjectiveConfigsList

      List<ModelMonitoringObjectiveConfig> getObjectiveConfigsList()
       Model monitoring objective config.
      repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;

    • getObjectiveConfigs

      ModelMonitoringObjectiveConfig getObjectiveConfigs(int index)
       Model monitoring objective config.
      repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;

    • getObjectiveConfigsCount

      int getObjectiveConfigsCount()
       Model monitoring objective config.
      repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;

    • getObjectiveConfigsOrBuilderList

      List<? extends ModelMonitoringObjectiveConfigOrBuilder> getObjectiveConfigsOrBuilderList()
       Model monitoring objective config.
      repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;

    • getObjectiveConfigsOrBuilder

      ModelMonitoringObjectiveConfigOrBuilder getObjectiveConfigsOrBuilder(int index)
       Model monitoring objective config.
      repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;

    • hasAlertConfig

      boolean hasAlertConfig()
       Model monitoring alert config.
      .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;
      Returns:
      Whether the alertConfig field is set.

    • getAlertConfig

      ModelMonitoringAlertConfig getAlertConfig()
       Model monitoring alert config.
      .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;
      Returns:
      The alertConfig.

    • getAlertConfigOrBuilder

      ModelMonitoringAlertConfigOrBuilder getAlertConfigOrBuilder()
       Model monitoring alert config.
      .google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;

    • getAnalysisInstanceSchemaUri

      String getAnalysisInstanceSchemaUri()
       YAML schema file uri in Cloud Storage describing the format of a single
 instance that you want Tensorflow Data Validation (TFDV) to analyze.

 If there are any data type differences between predict instance and TFDV
 instance, this field can be used to override the schema.
 For models trained with Vertex AI, this field must be set as all the
 fields in predict instance formatted as string.
      string analysis_instance_schema_uri = 4;
      Returns:
      The analysisInstanceSchemaUri.

    • getAnalysisInstanceSchemaUriBytes

      com.google.protobuf.ByteString getAnalysisInstanceSchemaUriBytes()
       YAML schema file uri in Cloud Storage describing the format of a single
 instance that you want Tensorflow Data Validation (TFDV) to analyze.

 If there are any data type differences between predict instance and TFDV
 instance, this field can be used to override the schema.
 For models trained with Vertex AI, this field must be set as all the
 fields in predict instance formatted as string.
      string analysis_instance_schema_uri = 4;
      Returns:
      The bytes for analysisInstanceSchemaUri.

    • hasStatsAnomaliesBaseDirectory

      boolean hasStatsAnomaliesBaseDirectory()
       A Google Cloud Storage location for batch prediction model monitoring to
 dump statistics and anomalies.
 If not provided, a folder will be created in customer project to hold
 statistics and anomalies.
      .google.cloud.aiplatform.v1beta1.GcsDestination stats_anomalies_base_directory = 5;
      Returns:
      Whether the statsAnomaliesBaseDirectory field is set.

    • getStatsAnomaliesBaseDirectory

      GcsDestination getStatsAnomaliesBaseDirectory()
       A Google Cloud Storage location for batch prediction model monitoring to
 dump statistics and anomalies.
 If not provided, a folder will be created in customer project to hold
 statistics and anomalies.
      .google.cloud.aiplatform.v1beta1.GcsDestination stats_anomalies_base_directory = 5;
      Returns:
      The statsAnomaliesBaseDirectory.

    • getStatsAnomaliesBaseDirectoryOrBuilder

      GcsDestinationOrBuilder getStatsAnomaliesBaseDirectoryOrBuilder()
       A Google Cloud Storage location for batch prediction model monitoring to
 dump statistics and anomalies.
 If not provided, a folder will be created in customer project to hold
 statistics and anomalies.
      .google.cloud.aiplatform.v1beta1.GcsDestination stats_anomalies_base_directory = 5;