# frozen_string_literal: true # Generated by the protocol buffer compiler. DO NOT EDIT! # source: google/cloud/aiplatform/v1/model_monitoring.proto require 'google/protobuf' require 'google/api/resource_pb' require 'google/cloud/aiplatform/v1/io_pb' descriptor_data = "\n1google/cloud/aiplatform/v1/model_monitoring.proto\x12\x1agoogle.cloud.aiplatform.v1\x1a\x19google/api/resource.proto\x1a#google/cloud/aiplatform/v1/io.proto\"\xbf\x15\n\x1eModelMonitoringObjectiveConfig\x12\x64\n\x10training_dataset\x18\x01 \x01(\x0b\x32J.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset\x12\x93\x01\n)training_prediction_skew_detection_config\x18\x02 \x01(\x0b\x32`.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig\x12\x84\x01\n!prediction_drift_detection_config\x18\x03 \x01(\x0b\x32Y.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig\x12h\n\x12\x65xplanation_config\x18\x05 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\x01(\x0b\x32/.google.cloud.aiplatform.v1.BigQueryDestinationH\x00\x12\x8c\x01\n\x11prediction_format\x18\x01 \x01(\x0e\x32q.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.PredictionFormat\"N\n\x10PredictionFormat\x12!\n\x1dPREDICTION_FORMAT_UNSPECIFIED\x10\x00\x12\t\n\x05JSONL\x10\x02\x12\x0c\n\x08\x42IGQUERY\x10\x03\x42\r\n\x0b\x64\x65stination\"\xa0\x02\n\x1aModelMonitoringAlertConfig\x12\x65\n\x12\x65mail_alert_config\x18\x01 \x01(\x0b\x32G.google.cloud.aiplatform.v1.ModelMonitoringAlertConfig.EmailAlertConfigH\x00\x12\x16\n\x0e\x65nable_logging\x18\x02 \x01(\x08\x12Q\n\x15notification_channels\x18\x03 \x03(\tB2\xfa\x41/\n-monitoring.googleapis.com/NotificationChannel\x1a\'\n\x10\x45mailAlertConfig\x12\x13\n\x0buser_emails\x18\x01 \x03(\tB\x07\n\x05\x61lert\"/\n\x0fThresholdConfig\x12\x0f\n\x05value\x18\x01 \x01(\x01H\x00\x42\x0b\n\tthreshold\"\x9c\x01\n\x10SamplingStrategy\x12]\n\x14random_sample_config\x18\x01 \x01(\x0b\x32?.google.cloud.aiplatform.v1.SamplingStrategy.RandomSampleConfig\x1a)\n\x12RandomSampleConfig\x12\x13\n\x0bsample_rate\x18\x01 \x01(\x01\x42\xc4\x02\n\x1e\x63om.google.cloud.aiplatform.v1B\x14ModelMonitoringProtoP\x01Z>cloud.google.com/go/aiplatform/apiv1/aiplatformpb;aiplatformpb\xaa\x02\x1aGoogle.Cloud.AIPlatform.V1\xca\x02\x1aGoogle\\Cloud\\AIPlatform\\V1\xea\x02\x1dGoogle::Cloud::AIPlatform::V1\xea\x41o\n-monitoring.googleapis.com/NotificationChannel\x12>projects/{project}/notificationChannels/{notification_channel}b\x06proto3" pool = Google::Protobuf::DescriptorPool.generated_pool begin pool.add_serialized_file(descriptor_data) rescue TypeError # Compatibility code: will be removed in the next major version. require 'google/protobuf/descriptor_pb' parsed = Google::Protobuf::FileDescriptorProto.decode(descriptor_data) parsed.clear_dependency serialized = parsed.class.encode(parsed) file = pool.add_serialized_file(serialized) warn "Warning: Protobuf detected an import path issue while loading generated file #{__FILE__}" imports = [ ["google.cloud.aiplatform.v1.GcsSource", "google/cloud/aiplatform/v1/io.proto"], ] imports.each do |type_name, expected_filename| import_file = pool.lookup(type_name).file_descriptor if import_file.name != expected_filename warn "- #{file.name} imports #{expected_filename}, but that import was loaded as #{import_file.name}" end end warn "Each proto file must use a consistent fully-qualified name." warn "This will become an error in the next major version." 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