# Generated by the protocol buffer compiler. DO NOT EDIT! # source: google/cloud/aiplatform/v1/model_monitoring.proto require 'google/api/resource_pb' require 'google/cloud/aiplatform/v1/io_pb' require 'google/protobuf' Google::Protobuf::DescriptorPool.generated_pool.build do add_file("google/cloud/aiplatform/v1/model_monitoring.proto", :syntax => :proto3) do add_message "google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig" do optional :training_dataset, :message, 1, "google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset" optional :training_prediction_skew_detection_config, :message, 2, "google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig" optional :prediction_drift_detection_config, :message, 3, "google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig" optional :explanation_config, :message, 5, "google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig" end add_message "google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset" do optional :data_format, :string, 2 optional :target_field, :string, 6 optional :logging_sampling_strategy, :message, 7, "google.cloud.aiplatform.v1.SamplingStrategy" oneof :data_source do optional :dataset, :string, 3 optional :gcs_source, :message, 4, "google.cloud.aiplatform.v1.GcsSource" optional :bigquery_source, :message, 5, "google.cloud.aiplatform.v1.BigQuerySource" end end add_message "google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig" do map :skew_thresholds, :string, :message, 1, "google.cloud.aiplatform.v1.ThresholdConfig" map :attribution_score_skew_thresholds, :string, :message, 2, "google.cloud.aiplatform.v1.ThresholdConfig" end add_message "google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig" do map :drift_thresholds, :string, :message, 1, "google.cloud.aiplatform.v1.ThresholdConfig" map :attribution_score_drift_thresholds, :string, :message, 2, "google.cloud.aiplatform.v1.ThresholdConfig" end add_message "google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig" do optional :enable_feature_attributes, :bool, 1 optional :explanation_baseline, :message, 2, "google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline" end add_message "google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline" do optional :prediction_format, :enum, 1, "google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.PredictionFormat" oneof :destination do optional :gcs, :message, 2, "google.cloud.aiplatform.v1.GcsDestination" optional :bigquery, :message, 3, "google.cloud.aiplatform.v1.BigQueryDestination" end end add_enum "google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.PredictionFormat" do value :PREDICTION_FORMAT_UNSPECIFIED, 0 value :JSONL, 2 value :BIGQUERY, 3 end add_message "google.cloud.aiplatform.v1.ModelMonitoringAlertConfig" do optional :enable_logging, :bool, 2 oneof :alert do optional :email_alert_config, :message, 1, "google.cloud.aiplatform.v1.ModelMonitoringAlertConfig.EmailAlertConfig" end end add_message "google.cloud.aiplatform.v1.ModelMonitoringAlertConfig.EmailAlertConfig" do repeated :user_emails, :string, 1 end add_message "google.cloud.aiplatform.v1.ThresholdConfig" do oneof :threshold do optional :value, :double, 1 end end add_message "google.cloud.aiplatform.v1.SamplingStrategy" do optional :random_sample_config, :message, 1, "google.cloud.aiplatform.v1.SamplingStrategy.RandomSampleConfig" end add_message "google.cloud.aiplatform.v1.SamplingStrategy.RandomSampleConfig" do optional :sample_rate, :double, 1 end end end module Google module Cloud module AIPlatform module V1 ModelMonitoringObjectiveConfig = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig").msgclass ModelMonitoringObjectiveConfig::TrainingDataset = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset").msgclass ModelMonitoringObjectiveConfig::TrainingPredictionSkewDetectionConfig = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig").msgclass ModelMonitoringObjectiveConfig::PredictionDriftDetectionConfig = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig").msgclass ModelMonitoringObjectiveConfig::ExplanationConfig = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig").msgclass ModelMonitoringObjectiveConfig::ExplanationConfig::ExplanationBaseline = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline").msgclass ModelMonitoringObjectiveConfig::ExplanationConfig::ExplanationBaseline::PredictionFormat = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.PredictionFormat").enummodule ModelMonitoringAlertConfig = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.ModelMonitoringAlertConfig").msgclass ModelMonitoringAlertConfig::EmailAlertConfig = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.ModelMonitoringAlertConfig.EmailAlertConfig").msgclass ThresholdConfig = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.ThresholdConfig").msgclass SamplingStrategy = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.SamplingStrategy").msgclass SamplingStrategy::RandomSampleConfig = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.SamplingStrategy.RandomSampleConfig").msgclass end end end end