blob: 4a61fe0ce186bbd6e0ccb6273ec24de2d4dadbbf [file] [log] [blame]
// 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 v1.22.0
// protoc v3.12.2
// 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,
},
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
}