// Copyright 2021 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 v1.26.0
// 	protoc        v3.12.2
// source: google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/automl_text_sentiment.proto

package definition

import (
	reflect "reflect"
	sync "sync"

	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)
)

// A TrainingJob that trains and uploads an AutoML Text Sentiment Model.
type AutoMlTextSentiment struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The input parameters of this TrainingJob.
	Inputs *AutoMlTextSentimentInputs `protobuf:"bytes,1,opt,name=inputs,proto3" json:"inputs,omitempty"`
}

func (x *AutoMlTextSentiment) Reset() {
	*x = AutoMlTextSentiment{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_msgTypes[0]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *AutoMlTextSentiment) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*AutoMlTextSentiment) ProtoMessage() {}

func (x *AutoMlTextSentiment) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_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 AutoMlTextSentiment.ProtoReflect.Descriptor instead.
func (*AutoMlTextSentiment) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_rawDescGZIP(), []int{0}
}

func (x *AutoMlTextSentiment) GetInputs() *AutoMlTextSentimentInputs {
	if x != nil {
		return x.Inputs
	}
	return nil
}

type AutoMlTextSentimentInputs struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// A sentiment is expressed as an integer ordinal, where higher value
	// means a more positive sentiment. The range of sentiments that will be used
	// is between 0 and sentimentMax (inclusive on both ends), and all the values
	// in the range must be represented in the dataset before a model can be
	// created.
	// Only the Annotations with this sentimentMax will be used for training.
	// sentimentMax value must be between 1 and 10 (inclusive).
	SentimentMax int32 `protobuf:"varint,1,opt,name=sentiment_max,json=sentimentMax,proto3" json:"sentiment_max,omitempty"`
}

func (x *AutoMlTextSentimentInputs) Reset() {
	*x = AutoMlTextSentimentInputs{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_msgTypes[1]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *AutoMlTextSentimentInputs) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*AutoMlTextSentimentInputs) ProtoMessage() {}

func (x *AutoMlTextSentimentInputs) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_msgTypes[1]
	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 AutoMlTextSentimentInputs.ProtoReflect.Descriptor instead.
func (*AutoMlTextSentimentInputs) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_rawDescGZIP(), []int{1}
}

func (x *AutoMlTextSentimentInputs) GetSentimentMax() int32 {
	if x != nil {
		return x.SentimentMax
	}
	return 0
}

var File_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto protoreflect.FileDescriptor

var file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_rawDesc = []byte{
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}

var (
	file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_rawDescOnce sync.Once
	file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_rawDescData = file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_rawDesc
)

func file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_rawDescGZIP() []byte {
	file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_rawDescOnce.Do(func() {
		file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_rawDescData)
	})
	return file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_rawDescData
}

var file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_msgTypes = make([]protoimpl.MessageInfo, 2)
var file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_goTypes = []interface{}{
	(*AutoMlTextSentiment)(nil),       // 0: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTextSentiment
	(*AutoMlTextSentimentInputs)(nil), // 1: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTextSentimentInputs
}
var file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_depIdxs = []int32{
	1, // 0: google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTextSentiment.inputs:type_name -> google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTextSentimentInputs
	1, // [1:1] is the sub-list for method output_type
	1, // [1:1] is the sub-list for method input_type
	1, // [1:1] is the sub-list for extension type_name
	1, // [1:1] is the sub-list for extension extendee
	0, // [0:1] is the sub-list for field type_name
}

func init() {
	file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_init()
}
func file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_init() {
	if File_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto != nil {
		return
	}
	if !protoimpl.UnsafeEnabled {
		file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*AutoMlTextSentiment); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*AutoMlTextSentimentInputs); 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_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_rawDesc,
			NumEnums:      0,
			NumMessages:   2,
			NumExtensions: 0,
			NumServices:   0,
		},
		GoTypes:           file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_goTypes,
		DependencyIndexes: file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_depIdxs,
		MessageInfos:      file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_msgTypes,
	}.Build()
	File_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto = out.File
	file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_rawDesc = nil
	file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_goTypes = nil
	file_google_cloud_aiplatform_v1beta1_schema_trainingjob_definition_automl_text_sentiment_proto_depIdxs = nil
}
