// Code generated by protoc-gen-go. DO NOT EDIT.
// source: google/cloud/automl/v1beta1/regression.proto

package automl

import (
	fmt "fmt"
	math "math"

	proto "github.com/golang/protobuf/proto"
	_ "google.golang.org/genproto/googleapis/api/annotations"
)

// Reference imports to suppress errors if they are not otherwise used.
var _ = proto.Marshal
var _ = fmt.Errorf
var _ = math.Inf

// This is a compile-time assertion to ensure that this generated file
// is compatible with the proto package it is being compiled against.
// A compilation error at this line likely means your copy of the
// proto package needs to be updated.
const _ = proto.ProtoPackageIsVersion3 // please upgrade the proto package

// Metrics for regression problems.
type RegressionEvaluationMetrics struct {
	// 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"`
	XXX_NoUnkeyedLiteral    struct{} `json:"-"`
	XXX_unrecognized        []byte   `json:"-"`
	XXX_sizecache           int32    `json:"-"`
}

func (m *RegressionEvaluationMetrics) Reset()         { *m = RegressionEvaluationMetrics{} }
func (m *RegressionEvaluationMetrics) String() string { return proto.CompactTextString(m) }
func (*RegressionEvaluationMetrics) ProtoMessage()    {}
func (*RegressionEvaluationMetrics) Descriptor() ([]byte, []int) {
	return fileDescriptor_b0fa6250b0d4b440, []int{0}
}

func (m *RegressionEvaluationMetrics) XXX_Unmarshal(b []byte) error {
	return xxx_messageInfo_RegressionEvaluationMetrics.Unmarshal(m, b)
}
func (m *RegressionEvaluationMetrics) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
	return xxx_messageInfo_RegressionEvaluationMetrics.Marshal(b, m, deterministic)
}
func (m *RegressionEvaluationMetrics) XXX_Merge(src proto.Message) {
	xxx_messageInfo_RegressionEvaluationMetrics.Merge(m, src)
}
func (m *RegressionEvaluationMetrics) XXX_Size() int {
	return xxx_messageInfo_RegressionEvaluationMetrics.Size(m)
}
func (m *RegressionEvaluationMetrics) XXX_DiscardUnknown() {
	xxx_messageInfo_RegressionEvaluationMetrics.DiscardUnknown(m)
}

var xxx_messageInfo_RegressionEvaluationMetrics proto.InternalMessageInfo

func (m *RegressionEvaluationMetrics) GetRootMeanSquaredError() float32 {
	if m != nil {
		return m.RootMeanSquaredError
	}
	return 0
}

func (m *RegressionEvaluationMetrics) GetMeanAbsoluteError() float32 {
	if m != nil {
		return m.MeanAbsoluteError
	}
	return 0
}

func (m *RegressionEvaluationMetrics) GetMeanAbsolutePercentageError() float32 {
	if m != nil {
		return m.MeanAbsolutePercentageError
	}
	return 0
}

func (m *RegressionEvaluationMetrics) GetRSquared() float32 {
	if m != nil {
		return m.RSquared
	}
	return 0
}

func (m *RegressionEvaluationMetrics) GetRootMeanSquaredLogError() float32 {
	if m != nil {
		return m.RootMeanSquaredLogError
	}
	return 0
}

func init() {
	proto.RegisterType((*RegressionEvaluationMetrics)(nil), "google.cloud.automl.v1beta1.RegressionEvaluationMetrics")
}

func init() {
	proto.RegisterFile("google/cloud/automl/v1beta1/regression.proto", fileDescriptor_b0fa6250b0d4b440)
}

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