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- // 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)
- }
-
- var fileDescriptor_model_dfe5b816a702f30b = []byte{
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|