# frozen_string_literal: true
# Generated by the protocol buffer compiler.  DO NOT EDIT!
# source: google/cloud/aiplatform/v1/model_evaluation.proto

require 'google/protobuf'

require 'google/api/field_behavior_pb'
require 'google/api/resource_pb'
require 'google/cloud/aiplatform/v1/explanation_pb'
require 'google/protobuf/struct_pb'
require 'google/protobuf/timestamp_pb'


descriptor_data = "\n1google/cloud/aiplatform/v1/model_evaluation.proto\x12\x1agoogle.cloud.aiplatform.v1\x1a\x1fgoogle/api/field_behavior.proto\x1a\x19google/api/resource.proto\x1a,google/cloud/aiplatform/v1/explanation.proto\x1a\x1cgoogle/protobuf/struct.proto\x1a\x1fgoogle/protobuf/timestamp.proto\"\xeb\x05\n\x0fModelEvaluation\x12\x11\n\x04name\x18\x01 \x01(\tB\x03\xe0\x41\x03\x12\x14\n\x0c\x64isplay_name\x18\n \x01(\t\x12\x1a\n\x12metrics_schema_uri\x18\x02 \x01(\t\x12\'\n\x07metrics\x18\x03 \x01(\x0b\x32\x16.google.protobuf.Value\x12\x34\n\x0b\x63reate_time\x18\x04 \x01(\x0b\x32\x1a.google.protobuf.TimestampB\x03\xe0\x41\x03\x12\x18\n\x10slice_dimensions\x18\x05 \x03(\t\x12\x1c\n\x14\x64\x61ta_item_schema_uri\x18\x06 \x01(\t\x12\x1d\n\x15\x61nnotation_schema_uri\x18\x07 \x01(\t\x12G\n\x11model_explanation\x18\x08 \x01(\x0b\x32,.google.cloud.aiplatform.v1.ModelExplanation\x12\x65\n\x11\x65xplanation_specs\x18\t \x03(\x0b\x32J.google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec\x12(\n\x08metadata\x18\x0b \x01(\x0b\x32\x16.google.protobuf.Value\x1a\x81\x01\n\x1eModelEvaluationExplanationSpec\x12\x18\n\x10\x65xplanation_type\x18\x01 \x01(\t\x12\x45\n\x10\x65xplanation_spec\x18\x02 \x01(\x0b\x32+.google.cloud.aiplatform.v1.ExplanationSpec:\x7f\xea\x41|\n)aiplatform.googleapis.com/ModelEvaluation\x12Oprojects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}B\xd2\x01\n\x1e\x63om.google.cloud.aiplatform.v1B\x14ModelEvaluationProtoP\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::V1b\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.protobuf.Value", "google/protobuf/struct.proto"],
    ["google.protobuf.Timestamp", "google/protobuf/timestamp.proto"],
    ["google.cloud.aiplatform.v1.ModelExplanation", "google/cloud/aiplatform/v1/explanation.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
        ModelEvaluation = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.ModelEvaluation").msgclass
        ModelEvaluation::ModelEvaluationExplanationSpec = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec").msgclass
      end
    end
  end
end