text: // Copyright 2020 Google LLC
  //
  // Licensed under the Apache License, Version 2.0 (the "License");
  // you may not use this file except in compliance with the License.
  // You may obtain a copy of the License at
  //
  //     http://www.apache.org/licenses/LICENSE-2.0
  //
  // Unless required by applicable law or agreed to in writing, software
  // distributed under the License is distributed on an "AS IS" BASIS,
  // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  // See the License for the specific language governing permissions and
  // limitations under the License.
  
  // Code generated by protoc-gen-go. DO NOT EDIT.
  // versions:
  // 	protoc-gen-go v1.25.0
  // 	protoc        v3.13.0
  // source: google/cloud/automl/v1beta1/regression.proto
  
  package automl
  
  import (
  	reflect "reflect"
  	sync "sync"
  
  	proto "github.com/golang/protobuf/proto"
  	_ "google.golang.org/genproto/googleapis/api/annotations"
  	protoreflect "google.golang.org/protobuf/reflect/protoreflect"
  	protoimpl "google.golang.org/protobuf/runtime/protoimpl"
  )
  
  const (
  	// Verify that this generated code is sufficiently up-to-date.
  	_ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion)
  	// Verify that runtime/protoimpl is sufficiently up-to-date.
  	_ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20)
  )
  
  // This is a compile-time assertion that a sufficiently up-to-date version
  // of the legacy proto package is being used.
  const _ = proto.ProtoPackageIsVersion4
  
  // Metrics for regression problems.
  type RegressionEvaluationMetrics struct {
  	state         protoimpl.MessageState
  	sizeCache     protoimpl.SizeCache
  	unknownFields protoimpl.UnknownFields
  
  	// Output only. Root Mean Squared Error (RMSE).
  	RootMeanSquaredError float32 `protobuf:"fixed32,1,opt,name=root_mean_squared_error,json=rootMeanSquaredError,proto3" json:"root_mean_squared_error,omitempty"`
  	// Output only. Mean Absolute Error (MAE).
  	MeanAbsoluteError float32 `protobuf:"fixed32,2,opt,name=mean_absolute_error,json=meanAbsoluteError,proto3" json:"mean_absolute_error,omitempty"`
  	// Output only. Mean absolute percentage error. Only set if all ground truth
  	// values are are positive.
  	MeanAbsolutePercentageError float32 `protobuf:"fixed32,3,opt,name=mean_absolute_percentage_error,json=meanAbsolutePercentageError,proto3" json:"mean_absolute_percentage_error,omitempty"`
  	// Output only. R squared.
  	RSquared float32 `protobuf:"fixed32,4,opt,name=r_squared,json=rSquared,proto3" json:"r_squared,omitempty"`
  	// Output only. Root mean squared log error.
  	RootMeanSquaredLogError float32 `protobuf:"fixed32,5,opt,name=root_mean_squared_log_error,json=rootMeanSquaredLogError,proto3" json:"root_mean_squared_log_error,omitempty"`
  }
  
  func (x *RegressionEvaluationMetrics) Reset() {
  	*x = RegressionEvaluationMetrics{}
  	if protoimpl.UnsafeEnabled {
  		mi := &file_google_cloud_automl_v1beta1_regression_proto_msgTypes[0]
  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
  		ms.StoreMessageInfo(mi)
  	}
  }
  
  func (x *RegressionEvaluationMetrics) String() string {
  	return protoimpl.X.MessageStringOf(x)
  }
  
  func (*RegressionEvaluationMetrics) ProtoMessage() {}
  
  func (x *RegressionEvaluationMetrics) ProtoReflect() protoreflect.Message {
  	mi := &file_google_cloud_automl_v1beta1_regression_proto_msgTypes[0]
  	if protoimpl.UnsafeEnabled && x != nil {
  		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
  		if ms.LoadMessageInfo() == nil {
  			ms.StoreMessageInfo(mi)
  		}
  		return ms
  	}
  	return mi.MessageOf(x)
  }
  
  // Deprecated: Use RegressionEvaluationMetrics.ProtoReflect.Descriptor instead.
  func (*RegressionEvaluationMetrics) Descriptor() ([]byte, []int) {
  	return file_google_cloud_automl_v1beta1_regression_proto_rawDescGZIP(), []int{0}
  }
  
  func (x *RegressionEvaluationMetrics) GetRootMeanSquaredError() float32 {
  	if x != nil {
  		return x.RootMeanSquaredError
  	}
  	return 0
  }
  
  func (x *RegressionEvaluationMetrics) GetMeanAbsoluteError() float32 {
  	if x != nil {
  		return x.MeanAbsoluteError
  	}
  	return 0
  }
  
  func (x *RegressionEvaluationMetrics) GetMeanAbsolutePercentageError() float32 {
  	if x != nil {
  		return x.MeanAbsolutePercentageError
  	}
  	return 0
  }
  
  func (x *RegressionEvaluationMetrics) GetRSquared() float32 {
  	if x != nil {
  		return x.RSquared
  	}
  	return 0
  }
  
  func (x *RegressionEvaluationMetrics) GetRootMeanSquaredLogError() float32 {
  	if x != nil {
  		return x.RootMeanSquaredLogError
  	}
  	return 0
  }
  
  var File_google_cloud_automl_v1beta1_regression_proto protoreflect.FileDescriptor
  
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  var (
  	file_google_cloud_automl_v1beta1_regression_proto_rawDescOnce sync.Once
  	file_google_cloud_automl_v1beta1_regression_proto_rawDescData = file_google_cloud_automl_v1beta1_regression_proto_rawDesc
  )
  
  func file_google_cloud_automl_v1beta1_regression_proto_rawDescGZIP() []byte {
  	file_google_cloud_automl_v1beta1_regression_proto_rawDescOnce.Do(func() {
  		file_google_cloud_automl_v1beta1_regression_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_automl_v1beta1_regression_proto_rawDescData)
  	})
  	return file_google_cloud_automl_v1beta1_regression_proto_rawDescData
  }
  
  var file_google_cloud_automl_v1beta1_regression_proto_msgTypes = make([]protoimpl.MessageInfo, 1)
  var file_google_cloud_automl_v1beta1_regression_proto_goTypes = []interface{}{
  	(*RegressionEvaluationMetrics)(nil), // 0: google.cloud.automl.v1beta1.RegressionEvaluationMetrics
  }
  var file_google_cloud_automl_v1beta1_regression_proto_depIdxs = []int32{
  	0, // [0:0] is the sub-list for method output_type
  	0, // [0:0] is the sub-list for method input_type
  	0, // [0:0] is the sub-list for extension type_name
  	0, // [0:0] is the sub-list for extension extendee
  	0, // [0:0] is the sub-list for field type_name
  }
  
  func init() { file_google_cloud_automl_v1beta1_regression_proto_init() }
  func file_google_cloud_automl_v1beta1_regression_proto_init() {
  	if File_google_cloud_automl_v1beta1_regression_proto != nil {
  		return
  	}
  	if !protoimpl.UnsafeEnabled {
  		file_google_cloud_automl_v1beta1_regression_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
  			switch v := v.(*RegressionEvaluationMetrics); i {
  			case 0:
  				return &v.state
  			case 1:
  				return &v.sizeCache
  			case 2:
  				return &v.unknownFields
  			default:
  				return nil
  			}
  		}
  	}
  	type x struct{}
  	out := protoimpl.TypeBuilder{
  		File: protoimpl.DescBuilder{
  			GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
  			RawDescriptor: file_google_cloud_automl_v1beta1_regression_proto_rawDesc,
  			NumEnums:      0,
  			NumMessages:   1,
  			NumExtensions: 0,
  			NumServices:   0,
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  		GoTypes:           file_google_cloud_automl_v1beta1_regression_proto_goTypes,
  		DependencyIndexes: file_google_cloud_automl_v1beta1_regression_proto_depIdxs,
  		MessageInfos:      file_google_cloud_automl_v1beta1_regression_proto_msgTypes,
  	}.Build()
  	File_google_cloud_automl_v1beta1_regression_proto = out.File
  	file_google_cloud_automl_v1beta1_regression_proto_rawDesc = nil
  	file_google_cloud_automl_v1beta1_regression_proto_goTypes = nil
  	file_google_cloud_automl_v1beta1_regression_proto_depIdxs = nil
  }
  