# frozen_string_literal: true
# Generated by the protocol buffer compiler.  DO NOT EDIT!
# source: google/cloud/automl/v1beta1/model_evaluation.proto

require 'google/protobuf'

require 'google/api/resource_pb'
require 'google/cloud/automl/v1beta1/classification_pb'
require 'google/cloud/automl/v1beta1/detection_pb'
require 'google/cloud/automl/v1beta1/regression_pb'
require 'google/cloud/automl/v1beta1/tables_pb'
require 'google/cloud/automl/v1beta1/text_extraction_pb'
require 'google/cloud/automl/v1beta1/text_sentiment_pb'
require 'google/cloud/automl/v1beta1/translation_pb'
require 'google/protobuf/timestamp_pb'


descriptor_data = "\n2google/cloud/automl/v1beta1/model_evaluation.proto\x12\x1bgoogle.cloud.automl.v1beta1\x1a\x19google/api/resource.proto\x1a\x30google/cloud/automl/v1beta1/classification.proto\x1a+google/cloud/automl/v1beta1/detection.proto\x1a,google/cloud/automl/v1beta1/regression.proto\x1a(google/cloud/automl/v1beta1/tables.proto\x1a\x31google/cloud/automl/v1beta1/text_extraction.proto\x1a\x30google/cloud/automl/v1beta1/text_sentiment.proto\x1a-google/cloud/automl/v1beta1/translation.proto\x1a\x1fgoogle/protobuf/timestamp.proto\"\xb1\x08\n\x0fModelEvaluation\x12i\n!classification_evaluation_metrics\x18\x08 \x01(\x0b\x32<.google.cloud.automl.v1beta1.ClassificationEvaluationMetricsH\x00\x12\x61\n\x1dregression_evaluation_metrics\x18\x18 \x01(\x0b\x32\x38.google.cloud.automl.v1beta1.RegressionEvaluationMetricsH\x00\x12\x63\n\x1etranslation_evaluation_metrics\x18\t \x01(\x0b\x32\x39.google.cloud.automl.v1beta1.TranslationEvaluationMetricsH\x00\x12w\n)image_object_detection_evaluation_metrics\x18\x0c \x01(\x0b\x32\x42.google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetricsH\x00\x12u\n(video_object_tracking_evaluation_metrics\x18\x0e \x01(\x0b\x32\x41.google.cloud.automl.v1beta1.VideoObjectTrackingEvaluationMetricsH\x00\x12h\n!text_sentiment_evaluation_metrics\x18\x0b \x01(\x0b\x32;.google.cloud.automl.v1beta1.TextSentimentEvaluationMetricsH\x00\x12j\n\"text_extraction_evaluation_metrics\x18\r \x01(\x0b\x32<.google.cloud.automl.v1beta1.TextExtractionEvaluationMetricsH\x00\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x1a\n\x12\x61nnotation_spec_id\x18\x02 \x01(\t\x12\x14\n\x0c\x64isplay_name\x18\x0f \x01(\t\x12/\n\x0b\x63reate_time\x18\x05 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x12\x1f\n\x17\x65valuated_example_count\x18\x06 \x01(\x05:\x87\x01\xea\x41\x83\x01\n%automl.googleapis.com/ModelEvaluation\x12Zprojects/{project}/locations/{location}/models/{model}/modelEvaluations/{model_evaluation}B\t\n\x07metricsB\x9b\x01\n\x1f\x63om.google.cloud.automl.v1beta1P\x01Z7cloud.google.com/go/automl/apiv1beta1/automlpb;automlpb\xca\x02\x1bGoogle\\Cloud\\AutoMl\\V1beta1\xea\x02\x1eGoogle::Cloud::AutoML::V1beta1b\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.automl.v1beta1.ClassificationEvaluationMetrics", "google/cloud/automl/v1beta1/classification.proto"],
    ["google.cloud.automl.v1beta1.RegressionEvaluationMetrics", "google/cloud/automl/v1beta1/regression.proto"],
    ["google.cloud.automl.v1beta1.TranslationEvaluationMetrics", "google/cloud/automl/v1beta1/translation.proto"],
    ["google.cloud.automl.v1beta1.ImageObjectDetectionEvaluationMetrics", "google/cloud/automl/v1beta1/detection.proto"],
    ["google.cloud.automl.v1beta1.TextSentimentEvaluationMetrics", "google/cloud/automl/v1beta1/text_sentiment.proto"],
    ["google.cloud.automl.v1beta1.TextExtractionEvaluationMetrics", "google/cloud/automl/v1beta1/text_extraction.proto"],
    ["google.protobuf.Timestamp", "google/protobuf/timestamp.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 AutoML
      module V1beta1
        ModelEvaluation = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.automl.v1beta1.ModelEvaluation").msgclass
      end
    end
  end
end
