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

package automl // import "google.golang.org/genproto/googleapis/cloud/automl/v1beta1"

import proto "github.com/golang/protobuf/proto"
import fmt "fmt"
import math "math"
import timestamp "github.com/golang/protobuf/ptypes/timestamp"
import _ "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.ProtoPackageIsVersion2 // please upgrade the proto package

// Deployment state of the model.
type Model_DeploymentState int32

const (
	// Should not be used, an un-set enum has this value by default.
	Model_DEPLOYMENT_STATE_UNSPECIFIED Model_DeploymentState = 0
	// Model is deployed.
	Model_DEPLOYED Model_DeploymentState = 1
	// Model is not deployed.
	Model_UNDEPLOYED Model_DeploymentState = 2
)

var Model_DeploymentState_name = map[int32]string{
	0: "DEPLOYMENT_STATE_UNSPECIFIED",
	1: "DEPLOYED",
	2: "UNDEPLOYED",
}
var Model_DeploymentState_value = map[string]int32{
	"DEPLOYMENT_STATE_UNSPECIFIED": 0,
	"DEPLOYED":                     1,
	"UNDEPLOYED":                   2,
}

func (x Model_DeploymentState) String() string {
	return proto.EnumName(Model_DeploymentState_name, int32(x))
}
func (Model_DeploymentState) EnumDescriptor() ([]byte, []int) {
	return fileDescriptor_model_dfe5b816a702f30b, []int{0, 0}
}

// API proto representing a trained machine learning model.
type Model struct {
	// Required.
	// The model metadata that is specific to the problem type.
	// Must match the metadata type of the dataset used to train the model.
	//
	// Types that are valid to be assigned to ModelMetadata:
	//	*Model_ImageClassificationModelMetadata
	//	*Model_TextClassificationModelMetadata
	//	*Model_TranslationModelMetadata
	ModelMetadata isModel_ModelMetadata `protobuf_oneof:"model_metadata"`
	// Output only.
	// Resource name of the model.
	// Format: `projects/{project_id}/locations/{location_id}/models/{model_id}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Required. The name of the model to show in the interface. The name can be
	// up to 32 characters
	// long and can consist only of ASCII Latin letters A-Z and a-z, underscores
	// (_), and ASCII digits 0-9.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Required.
	// The resource ID of the dataset used to create the model. The dataset must
	// come from the
	// same ancestor project and location.
	DatasetId string `protobuf:"bytes,3,opt,name=dataset_id,json=datasetId,proto3" json:"dataset_id,omitempty"`
	// Output only.
	// Timestamp when this model was created.
	CreateTime *timestamp.Timestamp `protobuf:"bytes,7,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only.
	// Timestamp when this model was last updated.
	UpdateTime *timestamp.Timestamp `protobuf:"bytes,11,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Output only. Deployment state of the model.
	DeploymentState      Model_DeploymentState `protobuf:"varint,8,opt,name=deployment_state,json=deploymentState,proto3,enum=google.cloud.automl.v1beta1.Model_DeploymentState" json:"deployment_state,omitempty"`
	XXX_NoUnkeyedLiteral struct{}              `json:"-"`
	XXX_unrecognized     []byte                `json:"-"`
	XXX_sizecache        int32                 `json:"-"`
}

func (m *Model) Reset()         { *m = Model{} }
func (m *Model) String() string { return proto.CompactTextString(m) }
func (*Model) ProtoMessage()    {}
func (*Model) Descriptor() ([]byte, []int) {
	return fileDescriptor_model_dfe5b816a702f30b, []int{0}
}
func (m *Model) XXX_Unmarshal(b []byte) error {
	return xxx_messageInfo_Model.Unmarshal(m, b)
}
func (m *Model) XXX_Marshal(b []byte, deterministic bool) ([]byte, error) {
	return xxx_messageInfo_Model.Marshal(b, m, deterministic)
}
func (dst *Model) XXX_Merge(src proto.Message) {
	xxx_messageInfo_Model.Merge(dst, src)
}
func (m *Model) XXX_Size() int {
	return xxx_messageInfo_Model.Size(m)
}
func (m *Model) XXX_DiscardUnknown() {
	xxx_messageInfo_Model.DiscardUnknown(m)
}

var xxx_messageInfo_Model proto.InternalMessageInfo

type isModel_ModelMetadata interface {
	isModel_ModelMetadata()
}

type Model_ImageClassificationModelMetadata struct {
	ImageClassificationModelMetadata *ImageClassificationModelMetadata `protobuf:"bytes,13,opt,name=image_classification_model_metadata,json=imageClassificationModelMetadata,proto3,oneof"`
}

type Model_TextClassificationModelMetadata struct {
	TextClassificationModelMetadata *TextClassificationModelMetadata `protobuf:"bytes,14,opt,name=text_classification_model_metadata,json=textClassificationModelMetadata,proto3,oneof"`
}

type Model_TranslationModelMetadata struct {
	TranslationModelMetadata *TranslationModelMetadata `protobuf:"bytes,15,opt,name=translation_model_metadata,json=translationModelMetadata,proto3,oneof"`
}

func (*Model_ImageClassificationModelMetadata) isModel_ModelMetadata() {}

func (*Model_TextClassificationModelMetadata) isModel_ModelMetadata() {}

func (*Model_TranslationModelMetadata) isModel_ModelMetadata() {}

func (m *Model) GetModelMetadata() isModel_ModelMetadata {
	if m != nil {
		return m.ModelMetadata
	}
	return nil
}

func (m *Model) GetImageClassificationModelMetadata() *ImageClassificationModelMetadata {
	if x, ok := m.GetModelMetadata().(*Model_ImageClassificationModelMetadata); ok {
		return x.ImageClassificationModelMetadata
	}
	return nil
}

func (m *Model) GetTextClassificationModelMetadata() *TextClassificationModelMetadata {
	if x, ok := m.GetModelMetadata().(*Model_TextClassificationModelMetadata); ok {
		return x.TextClassificationModelMetadata
	}
	return nil
}

func (m *Model) GetTranslationModelMetadata() *TranslationModelMetadata {
	if x, ok := m.GetModelMetadata().(*Model_TranslationModelMetadata); ok {
		return x.TranslationModelMetadata
	}
	return nil
}

func (m *Model) GetName() string {
	if m != nil {
		return m.Name
	}
	return ""
}

func (m *Model) GetDisplayName() string {
	if m != nil {
		return m.DisplayName
	}
	return ""
}

func (m *Model) GetDatasetId() string {
	if m != nil {
		return m.DatasetId
	}
	return ""
}

func (m *Model) GetCreateTime() *timestamp.Timestamp {
	if m != nil {
		return m.CreateTime
	}
	return nil
}

func (m *Model) GetUpdateTime() *timestamp.Timestamp {
	if m != nil {
		return m.UpdateTime
	}
	return nil
}

func (m *Model) GetDeploymentState() Model_DeploymentState {
	if m != nil {
		return m.DeploymentState
	}
	return Model_DEPLOYMENT_STATE_UNSPECIFIED
}

// XXX_OneofFuncs is for the internal use of the proto package.
func (*Model) XXX_OneofFuncs() (func(msg proto.Message, b *proto.Buffer) error, func(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error), func(msg proto.Message) (n int), []interface{}) {
	return _Model_OneofMarshaler, _Model_OneofUnmarshaler, _Model_OneofSizer, []interface{}{
		(*Model_ImageClassificationModelMetadata)(nil),
		(*Model_TextClassificationModelMetadata)(nil),
		(*Model_TranslationModelMetadata)(nil),
	}
}

func _Model_OneofMarshaler(msg proto.Message, b *proto.Buffer) error {
	m := msg.(*Model)
	// model_metadata
	switch x := m.ModelMetadata.(type) {
	case *Model_ImageClassificationModelMetadata:
		b.EncodeVarint(13<<3 | proto.WireBytes)
		if err := b.EncodeMessage(x.ImageClassificationModelMetadata); err != nil {
			return err
		}
	case *Model_TextClassificationModelMetadata:
		b.EncodeVarint(14<<3 | proto.WireBytes)
		if err := b.EncodeMessage(x.TextClassificationModelMetadata); err != nil {
			return err
		}
	case *Model_TranslationModelMetadata:
		b.EncodeVarint(15<<3 | proto.WireBytes)
		if err := b.EncodeMessage(x.TranslationModelMetadata); err != nil {
			return err
		}
	case nil:
	default:
		return fmt.Errorf("Model.ModelMetadata has unexpected type %T", x)
	}
	return nil
}

func _Model_OneofUnmarshaler(msg proto.Message, tag, wire int, b *proto.Buffer) (bool, error) {
	m := msg.(*Model)
	switch tag {
	case 13: // model_metadata.image_classification_model_metadata
		if wire != proto.WireBytes {
			return true, proto.ErrInternalBadWireType
		}
		msg := new(ImageClassificationModelMetadata)
		err := b.DecodeMessage(msg)
		m.ModelMetadata = &Model_ImageClassificationModelMetadata{msg}
		return true, err
	case 14: // model_metadata.text_classification_model_metadata
		if wire != proto.WireBytes {
			return true, proto.ErrInternalBadWireType
		}
		msg := new(TextClassificationModelMetadata)
		err := b.DecodeMessage(msg)
		m.ModelMetadata = &Model_TextClassificationModelMetadata{msg}
		return true, err
	case 15: // model_metadata.translation_model_metadata
		if wire != proto.WireBytes {
			return true, proto.ErrInternalBadWireType
		}
		msg := new(TranslationModelMetadata)
		err := b.DecodeMessage(msg)
		m.ModelMetadata = &Model_TranslationModelMetadata{msg}
		return true, err
	default:
		return false, nil
	}
}

func _Model_OneofSizer(msg proto.Message) (n int) {
	m := msg.(*Model)
	// model_metadata
	switch x := m.ModelMetadata.(type) {
	case *Model_ImageClassificationModelMetadata:
		s := proto.Size(x.ImageClassificationModelMetadata)
		n += 1 // tag and wire
		n += proto.SizeVarint(uint64(s))
		n += s
	case *Model_TextClassificationModelMetadata:
		s := proto.Size(x.TextClassificationModelMetadata)
		n += 1 // tag and wire
		n += proto.SizeVarint(uint64(s))
		n += s
	case *Model_TranslationModelMetadata:
		s := proto.Size(x.TranslationModelMetadata)
		n += 1 // tag and wire
		n += proto.SizeVarint(uint64(s))
		n += s
	case nil:
	default:
		panic(fmt.Sprintf("proto: unexpected type %T in oneof", x))
	}
	return n
}

func init() {
	proto.RegisterType((*Model)(nil), "google.cloud.automl.v1beta1.Model")
	proto.RegisterEnum("google.cloud.automl.v1beta1.Model_DeploymentState", Model_DeploymentState_name, Model_DeploymentState_value)
}

func init() {
	proto.RegisterFile("google/cloud/automl/v1beta1/model.proto", fileDescriptor_model_dfe5b816a702f30b)
}

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