# frozen_string_literal: true # Generated by the protocol buffer compiler. DO NOT EDIT! # source: google/cloud/aiplatform/v1/explanation.proto require 'google/protobuf' require 'google/api/field_behavior_pb' require 'google/cloud/aiplatform/v1/explanation_metadata_pb' require 'google/cloud/aiplatform/v1/io_pb' require 'google/protobuf/struct_pb' descriptor_data = "\n,google/cloud/aiplatform/v1/explanation.proto\x12\x1agoogle.cloud.aiplatform.v1\x1a\x1fgoogle/api/field_behavior.proto\x1a\x35google/cloud/aiplatform/v1/explanation_metadata.proto\x1a#google/cloud/aiplatform/v1/io.proto\x1a\x1cgoogle/protobuf/struct.proto\"\x8f\x01\n\x0b\x45xplanation\x12\x42\n\x0c\x61ttributions\x18\x01 \x03(\x0b\x32\'.google.cloud.aiplatform.v1.AttributionB\x03\xe0\x41\x03\x12<\n\tneighbors\x18\x02 \x03(\x0b\x32$.google.cloud.aiplatform.v1.NeighborB\x03\xe0\x41\x03\"[\n\x10ModelExplanation\x12G\n\x11mean_attributions\x18\x01 \x03(\x0b\x32\'.google.cloud.aiplatform.v1.AttributionB\x03\xe0\x41\x03\"\x89\x02\n\x0b\x41ttribution\x12\"\n\x15\x62\x61seline_output_value\x18\x01 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\x03(\tB\xce\x01\n\x1e\x63om.google.cloud.aiplatform.v1B\x10\x45xplanationProtoP\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.cloud.aiplatform.v1.ExplanationMetadata", "google/cloud/aiplatform/v1/explanation_metadata.proto"], ["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 Explanation = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.Explanation").msgclass ModelExplanation = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.ModelExplanation").msgclass Attribution = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.Attribution").msgclass Neighbor = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.Neighbor").msgclass ExplanationSpec = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.ExplanationSpec").msgclass ExplanationParameters = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.ExplanationParameters").msgclass SampledShapleyAttribution = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.SampledShapleyAttribution").msgclass IntegratedGradientsAttribution = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.IntegratedGradientsAttribution").msgclass XraiAttribution = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.XraiAttribution").msgclass SmoothGradConfig = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.SmoothGradConfig").msgclass FeatureNoiseSigma = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.FeatureNoiseSigma").msgclass FeatureNoiseSigma::NoiseSigmaForFeature = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.FeatureNoiseSigma.NoiseSigmaForFeature").msgclass BlurBaselineConfig = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.BlurBaselineConfig").msgclass Examples = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.Examples").msgclass Examples::ExampleGcsSource = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.Examples.ExampleGcsSource").msgclass Examples::ExampleGcsSource::DataFormat = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.Examples.ExampleGcsSource.DataFormat").enummodule Presets = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.Presets").msgclass Presets::Query = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.Presets.Query").enummodule Presets::Modality = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.Presets.Modality").enummodule ExplanationSpecOverride = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.ExplanationSpecOverride").msgclass ExplanationMetadataOverride = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.ExplanationMetadataOverride").msgclass ExplanationMetadataOverride::InputMetadataOverride = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.ExplanationMetadataOverride.InputMetadataOverride").msgclass ExamplesOverride = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.ExamplesOverride").msgclass ExamplesOverride::DataFormat = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.ExamplesOverride.DataFormat").enummodule ExamplesRestrictionsNamespace = ::Google::Protobuf::DescriptorPool.generated_pool.lookup("google.cloud.aiplatform.v1.ExamplesRestrictionsNamespace").msgclass end end end end