// Copyright 2025 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 v1.36.11
// 	protoc        v6.33.2
// source: google/cloud/aiplatform/v1beta1/model_monitoring_service.proto

package aiplatformpb

import (
	reflect "reflect"
	sync "sync"
	unsafe "unsafe"

	longrunningpb "cloud.google.com/go/longrunning/autogen/longrunningpb"
	_ "google.golang.org/genproto/googleapis/api/annotations"
	interval "google.golang.org/genproto/googleapis/type/interval"
	protoreflect "google.golang.org/protobuf/reflect/protoreflect"
	protoimpl "google.golang.org/protobuf/runtime/protoimpl"
	_ "google.golang.org/protobuf/types/known/emptypb"
	fieldmaskpb "google.golang.org/protobuf/types/known/fieldmaskpb"
)

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)
)

// Request message for
// [ModelMonitoringService.CreateModelMonitor][google.cloud.aiplatform.v1beta1.ModelMonitoringService.CreateModelMonitor].
type CreateModelMonitorRequest struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Required. The resource name of the Location to create the ModelMonitor in.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The ModelMonitor to create.
	ModelMonitor *ModelMonitor `protobuf:"bytes,2,opt,name=model_monitor,json=modelMonitor,proto3" json:"model_monitor,omitempty"`
	// Optional. The ID to use for the Model Monitor, which will become the final
	// component of the model monitor resource name.
	//
	// The maximum length is 63 characters, and valid characters are
	// `/^[a-z]([a-z0-9-]{0,61}[a-z0-9])?$/`.
	ModelMonitorId string `protobuf:"bytes,3,opt,name=model_monitor_id,json=modelMonitorId,proto3" json:"model_monitor_id,omitempty"`
	unknownFields  protoimpl.UnknownFields
	sizeCache      protoimpl.SizeCache
}

func (x *CreateModelMonitorRequest) Reset() {
	*x = CreateModelMonitorRequest{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[0]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*CreateModelMonitorRequest) ProtoMessage() {}

func (x *CreateModelMonitorRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[0]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use CreateModelMonitorRequest.ProtoReflect.Descriptor instead.
func (*CreateModelMonitorRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDescGZIP(), []int{0}
}

func (x *CreateModelMonitorRequest) GetParent() string {
	if x != nil {
		return x.Parent
	}
	return ""
}

func (x *CreateModelMonitorRequest) GetModelMonitor() *ModelMonitor {
	if x != nil {
		return x.ModelMonitor
	}
	return nil
}

func (x *CreateModelMonitorRequest) GetModelMonitorId() string {
	if x != nil {
		return x.ModelMonitorId
	}
	return ""
}

// Runtime operation information for
// [ModelMonitoringService.CreateModelMonitor][google.cloud.aiplatform.v1beta1.ModelMonitoringService.CreateModelMonitor].
type CreateModelMonitorOperationMetadata struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	unknownFields   protoimpl.UnknownFields
	sizeCache       protoimpl.SizeCache
}

func (x *CreateModelMonitorOperationMetadata) Reset() {
	*x = CreateModelMonitorOperationMetadata{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[1]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*CreateModelMonitorOperationMetadata) ProtoMessage() {}

func (x *CreateModelMonitorOperationMetadata) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[1]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use CreateModelMonitorOperationMetadata.ProtoReflect.Descriptor instead.
func (*CreateModelMonitorOperationMetadata) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDescGZIP(), []int{1}
}

func (x *CreateModelMonitorOperationMetadata) GetGenericMetadata() *GenericOperationMetadata {
	if x != nil {
		return x.GenericMetadata
	}
	return nil
}

// Request message for
// [ModelMonitoringService.UpdateModelMonitor][google.cloud.aiplatform.v1beta1.ModelMonitoringService.UpdateModelMonitor].
type UpdateModelMonitorRequest struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Required. The model monitoring configuration which replaces the resource on
	// the server.
	ModelMonitor *ModelMonitor `protobuf:"bytes,1,opt,name=model_monitor,json=modelMonitor,proto3" json:"model_monitor,omitempty"`
	// Required. Mask specifying which fields to update.
	UpdateMask    *fieldmaskpb.FieldMask `protobuf:"bytes,2,opt,name=update_mask,json=updateMask,proto3" json:"update_mask,omitempty"`
	unknownFields protoimpl.UnknownFields
	sizeCache     protoimpl.SizeCache
}

func (x *UpdateModelMonitorRequest) Reset() {
	*x = UpdateModelMonitorRequest{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[2]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*UpdateModelMonitorRequest) ProtoMessage() {}

func (x *UpdateModelMonitorRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[2]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use UpdateModelMonitorRequest.ProtoReflect.Descriptor instead.
func (*UpdateModelMonitorRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDescGZIP(), []int{2}
}

func (x *UpdateModelMonitorRequest) GetModelMonitor() *ModelMonitor {
	if x != nil {
		return x.ModelMonitor
	}
	return nil
}

func (x *UpdateModelMonitorRequest) GetUpdateMask() *fieldmaskpb.FieldMask {
	if x != nil {
		return x.UpdateMask
	}
	return nil
}

// Runtime operation information for
// [ModelMonitoringService.UpdateModelMonitor][google.cloud.aiplatform.v1beta1.ModelMonitoringService.UpdateModelMonitor].
type UpdateModelMonitorOperationMetadata struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// The operation generic information.
	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
	unknownFields   protoimpl.UnknownFields
	sizeCache       protoimpl.SizeCache
}

func (x *UpdateModelMonitorOperationMetadata) Reset() {
	*x = UpdateModelMonitorOperationMetadata{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[3]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*UpdateModelMonitorOperationMetadata) ProtoMessage() {}

func (x *UpdateModelMonitorOperationMetadata) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[3]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use UpdateModelMonitorOperationMetadata.ProtoReflect.Descriptor instead.
func (*UpdateModelMonitorOperationMetadata) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDescGZIP(), []int{3}
}

func (x *UpdateModelMonitorOperationMetadata) GetGenericMetadata() *GenericOperationMetadata {
	if x != nil {
		return x.GenericMetadata
	}
	return nil
}

// Request message for
// [ModelMonitoringService.GetModelMonitor][google.cloud.aiplatform.v1beta1.ModelMonitoringService.GetModelMonitor].
type GetModelMonitorRequest struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Required. The name of the ModelMonitor resource.
	// Format:
	// `projects/{project}/locations/{location}/modelMonitors/{model_monitor}`
	Name          string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	unknownFields protoimpl.UnknownFields
	sizeCache     protoimpl.SizeCache
}

func (x *GetModelMonitorRequest) Reset() {
	*x = GetModelMonitorRequest{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[4]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*GetModelMonitorRequest) ProtoMessage() {}

func (x *GetModelMonitorRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[4]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use GetModelMonitorRequest.ProtoReflect.Descriptor instead.
func (*GetModelMonitorRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDescGZIP(), []int{4}
}

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

// Request message for
// [ModelMonitoringService.ListModelMonitors][google.cloud.aiplatform.v1beta1.ModelMonitoringService.ListModelMonitors].
type ListModelMonitorsRequest struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Required. The resource name of the Location to list the ModelMonitors from.
	// Format: `projects/{project}/locations/{location}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	// More detail in [AIP-160](https://google.aip.dev/160).
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read.
	ReadMask      *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	unknownFields protoimpl.UnknownFields
	sizeCache     protoimpl.SizeCache
}

func (x *ListModelMonitorsRequest) Reset() {
	*x = ListModelMonitorsRequest{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[5]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*ListModelMonitorsRequest) ProtoMessage() {}

func (x *ListModelMonitorsRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[5]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ListModelMonitorsRequest.ProtoReflect.Descriptor instead.
func (*ListModelMonitorsRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDescGZIP(), []int{5}
}

func (x *ListModelMonitorsRequest) GetParent() string {
	if x != nil {
		return x.Parent
	}
	return ""
}

func (x *ListModelMonitorsRequest) GetFilter() string {
	if x != nil {
		return x.Filter
	}
	return ""
}

func (x *ListModelMonitorsRequest) GetPageSize() int32 {
	if x != nil {
		return x.PageSize
	}
	return 0
}

func (x *ListModelMonitorsRequest) GetPageToken() string {
	if x != nil {
		return x.PageToken
	}
	return ""
}

func (x *ListModelMonitorsRequest) GetReadMask() *fieldmaskpb.FieldMask {
	if x != nil {
		return x.ReadMask
	}
	return nil
}

// Response message for
// [ModelMonitoringService.ListModelMonitors][google.cloud.aiplatform.v1beta1.ModelMonitoringService.ListModelMonitors]
type ListModelMonitorsResponse struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// List of ModelMonitor in the requested page.
	ModelMonitors []*ModelMonitor `protobuf:"bytes,1,rep,name=model_monitors,json=modelMonitors,proto3" json:"model_monitors,omitempty"`
	// A token to retrieve the next page of results.
	// Pass to
	// [ListModelMonitorsRequest.page_token][google.cloud.aiplatform.v1beta1.ListModelMonitorsRequest.page_token]
	// to obtain that page.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	unknownFields protoimpl.UnknownFields
	sizeCache     protoimpl.SizeCache
}

func (x *ListModelMonitorsResponse) Reset() {
	*x = ListModelMonitorsResponse{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[6]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*ListModelMonitorsResponse) ProtoMessage() {}

func (x *ListModelMonitorsResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[6]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ListModelMonitorsResponse.ProtoReflect.Descriptor instead.
func (*ListModelMonitorsResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDescGZIP(), []int{6}
}

func (x *ListModelMonitorsResponse) GetModelMonitors() []*ModelMonitor {
	if x != nil {
		return x.ModelMonitors
	}
	return nil
}

func (x *ListModelMonitorsResponse) GetNextPageToken() string {
	if x != nil {
		return x.NextPageToken
	}
	return ""
}

// Request message for
// [ModelMonitoringService.DeleteModelMonitor][google.cloud.aiplatform.v1beta1.ModelMonitoringService.DeleteModelMonitor].
type DeleteModelMonitorRequest struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Required. The name of the ModelMonitor resource to be deleted.
	// Format:
	// `projects/{project}/locations/{location}/modelMonitords/{model_monitor}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Optional. Force delete the model monitor with schedules.
	Force         bool `protobuf:"varint,2,opt,name=force,proto3" json:"force,omitempty"`
	unknownFields protoimpl.UnknownFields
	sizeCache     protoimpl.SizeCache
}

func (x *DeleteModelMonitorRequest) Reset() {
	*x = DeleteModelMonitorRequest{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[7]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*DeleteModelMonitorRequest) ProtoMessage() {}

func (x *DeleteModelMonitorRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[7]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use DeleteModelMonitorRequest.ProtoReflect.Descriptor instead.
func (*DeleteModelMonitorRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDescGZIP(), []int{7}
}

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

func (x *DeleteModelMonitorRequest) GetForce() bool {
	if x != nil {
		return x.Force
	}
	return false
}

// Request message for
// [ModelMonitoringService.CreateModelMonitoringJob][google.cloud.aiplatform.v1beta1.ModelMonitoringService.CreateModelMonitoringJob].
type CreateModelMonitoringJobRequest struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Required. The parent of the ModelMonitoringJob.
	// Format:
	// `projects/{project}/locations/{location}/modelMoniitors/{model_monitor}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// Required. The ModelMonitoringJob to create
	ModelMonitoringJob *ModelMonitoringJob `protobuf:"bytes,2,opt,name=model_monitoring_job,json=modelMonitoringJob,proto3" json:"model_monitoring_job,omitempty"`
	// Optional. The ID to use for the Model Monitoring Job, which will become the
	// final component of the model monitoring job resource name.
	//
	// The maximum length is 63 characters, and valid characters are
	// `/^[a-z]([a-z0-9-]{0,61}[a-z0-9])?$/`.
	ModelMonitoringJobId string `protobuf:"bytes,3,opt,name=model_monitoring_job_id,json=modelMonitoringJobId,proto3" json:"model_monitoring_job_id,omitempty"`
	unknownFields        protoimpl.UnknownFields
	sizeCache            protoimpl.SizeCache
}

func (x *CreateModelMonitoringJobRequest) Reset() {
	*x = CreateModelMonitoringJobRequest{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[8]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*CreateModelMonitoringJobRequest) ProtoMessage() {}

func (x *CreateModelMonitoringJobRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[8]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use CreateModelMonitoringJobRequest.ProtoReflect.Descriptor instead.
func (*CreateModelMonitoringJobRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDescGZIP(), []int{8}
}

func (x *CreateModelMonitoringJobRequest) GetParent() string {
	if x != nil {
		return x.Parent
	}
	return ""
}

func (x *CreateModelMonitoringJobRequest) GetModelMonitoringJob() *ModelMonitoringJob {
	if x != nil {
		return x.ModelMonitoringJob
	}
	return nil
}

func (x *CreateModelMonitoringJobRequest) GetModelMonitoringJobId() string {
	if x != nil {
		return x.ModelMonitoringJobId
	}
	return ""
}

// Request message for
// [ModelMonitoringService.GetModelMonitoringJob][google.cloud.aiplatform.v1beta1.ModelMonitoringService.GetModelMonitoringJob].
type GetModelMonitoringJobRequest struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Required. The resource name of the ModelMonitoringJob.
	// Format:
	// `projects/{project}/locations/{location}/modelMonitors/{model_monitor}/modelMonitoringJobs/{model_monitoring_job}`
	Name          string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	unknownFields protoimpl.UnknownFields
	sizeCache     protoimpl.SizeCache
}

func (x *GetModelMonitoringJobRequest) Reset() {
	*x = GetModelMonitoringJobRequest{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[9]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*GetModelMonitoringJobRequest) ProtoMessage() {}

func (x *GetModelMonitoringJobRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[9]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use GetModelMonitoringJobRequest.ProtoReflect.Descriptor instead.
func (*GetModelMonitoringJobRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDescGZIP(), []int{9}
}

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

// Request message for
// [ModelMonitoringService.ListModelMonitoringJobs][google.cloud.aiplatform.v1beta1.ModelMonitoringService.ListModelMonitoringJobs].
type ListModelMonitoringJobsRequest struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Required. The parent of the ModelMonitoringJob.
	// Format:
	// `projects/{project}/locations/{location}/modelMonitors/{model_monitor}`
	Parent string `protobuf:"bytes,1,opt,name=parent,proto3" json:"parent,omitempty"`
	// The standard list filter.
	// More detail in [AIP-160](https://google.aip.dev/160).
	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// The standard list page token.
	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	// Mask specifying which fields to read
	ReadMask      *fieldmaskpb.FieldMask `protobuf:"bytes,5,opt,name=read_mask,json=readMask,proto3" json:"read_mask,omitempty"`
	unknownFields protoimpl.UnknownFields
	sizeCache     protoimpl.SizeCache
}

func (x *ListModelMonitoringJobsRequest) Reset() {
	*x = ListModelMonitoringJobsRequest{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[10]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*ListModelMonitoringJobsRequest) ProtoMessage() {}

func (x *ListModelMonitoringJobsRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[10]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ListModelMonitoringJobsRequest.ProtoReflect.Descriptor instead.
func (*ListModelMonitoringJobsRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDescGZIP(), []int{10}
}

func (x *ListModelMonitoringJobsRequest) GetParent() string {
	if x != nil {
		return x.Parent
	}
	return ""
}

func (x *ListModelMonitoringJobsRequest) GetFilter() string {
	if x != nil {
		return x.Filter
	}
	return ""
}

func (x *ListModelMonitoringJobsRequest) GetPageSize() int32 {
	if x != nil {
		return x.PageSize
	}
	return 0
}

func (x *ListModelMonitoringJobsRequest) GetPageToken() string {
	if x != nil {
		return x.PageToken
	}
	return ""
}

func (x *ListModelMonitoringJobsRequest) GetReadMask() *fieldmaskpb.FieldMask {
	if x != nil {
		return x.ReadMask
	}
	return nil
}

// Response message for
// [ModelMonitoringService.ListModelMonitoringJobs][google.cloud.aiplatform.v1beta1.ModelMonitoringService.ListModelMonitoringJobs].
type ListModelMonitoringJobsResponse struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// A list of ModelMonitoringJobs that matches the specified filter
	// in the request.
	ModelMonitoringJobs []*ModelMonitoringJob `protobuf:"bytes,1,rep,name=model_monitoring_jobs,json=modelMonitoringJobs,proto3" json:"model_monitoring_jobs,omitempty"`
	// The standard List next-page token.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	unknownFields protoimpl.UnknownFields
	sizeCache     protoimpl.SizeCache
}

func (x *ListModelMonitoringJobsResponse) Reset() {
	*x = ListModelMonitoringJobsResponse{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[11]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*ListModelMonitoringJobsResponse) ProtoMessage() {}

func (x *ListModelMonitoringJobsResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[11]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ListModelMonitoringJobsResponse.ProtoReflect.Descriptor instead.
func (*ListModelMonitoringJobsResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDescGZIP(), []int{11}
}

func (x *ListModelMonitoringJobsResponse) GetModelMonitoringJobs() []*ModelMonitoringJob {
	if x != nil {
		return x.ModelMonitoringJobs
	}
	return nil
}

func (x *ListModelMonitoringJobsResponse) GetNextPageToken() string {
	if x != nil {
		return x.NextPageToken
	}
	return ""
}

// Request message for
// [ModelMonitoringService.DeleteModelMonitoringJob][google.cloud.aiplatform.v1beta1.ModelMonitoringService.DeleteModelMonitoringJob].
type DeleteModelMonitoringJobRequest struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Required. The resource name of the model monitoring job to delete.
	// Format:
	// `projects/{project}/locations/{location}/modelMonitors/{model_monitor}/modelMonitoringJobs/{model_monitoring_job}`
	Name          string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	unknownFields protoimpl.UnknownFields
	sizeCache     protoimpl.SizeCache
}

func (x *DeleteModelMonitoringJobRequest) Reset() {
	*x = DeleteModelMonitoringJobRequest{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[12]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*DeleteModelMonitoringJobRequest) ProtoMessage() {}

func (x *DeleteModelMonitoringJobRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[12]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use DeleteModelMonitoringJobRequest.ProtoReflect.Descriptor instead.
func (*DeleteModelMonitoringJobRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDescGZIP(), []int{12}
}

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

// Request message for
// [ModelMonitoringService.SearchModelMonitoringStats][google.cloud.aiplatform.v1beta1.ModelMonitoringService.SearchModelMonitoringStats].
type SearchModelMonitoringStatsRequest struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Required. ModelMonitor resource name.
	// Format:
	// `projects/{project}/locations/{location}/modelMonitors/{model_monitor}`
	ModelMonitor string `protobuf:"bytes,1,opt,name=model_monitor,json=modelMonitor,proto3" json:"model_monitor,omitempty"`
	// Filter for search different stats.
	StatsFilter *SearchModelMonitoringStatsFilter `protobuf:"bytes,2,opt,name=stats_filter,json=statsFilter,proto3" json:"stats_filter,omitempty"`
	// The time interval for which results should be returned.
	TimeInterval *interval.Interval `protobuf:"bytes,3,opt,name=time_interval,json=timeInterval,proto3" json:"time_interval,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,4,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token received from a previous
	// [ModelMonitoringService.SearchModelMonitoringStats][google.cloud.aiplatform.v1beta1.ModelMonitoringService.SearchModelMonitoringStats]
	// call.
	PageToken     string `protobuf:"bytes,5,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	unknownFields protoimpl.UnknownFields
	sizeCache     protoimpl.SizeCache
}

func (x *SearchModelMonitoringStatsRequest) Reset() {
	*x = SearchModelMonitoringStatsRequest{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[13]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*SearchModelMonitoringStatsRequest) ProtoMessage() {}

func (x *SearchModelMonitoringStatsRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[13]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use SearchModelMonitoringStatsRequest.ProtoReflect.Descriptor instead.
func (*SearchModelMonitoringStatsRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDescGZIP(), []int{13}
}

func (x *SearchModelMonitoringStatsRequest) GetModelMonitor() string {
	if x != nil {
		return x.ModelMonitor
	}
	return ""
}

func (x *SearchModelMonitoringStatsRequest) GetStatsFilter() *SearchModelMonitoringStatsFilter {
	if x != nil {
		return x.StatsFilter
	}
	return nil
}

func (x *SearchModelMonitoringStatsRequest) GetTimeInterval() *interval.Interval {
	if x != nil {
		return x.TimeInterval
	}
	return nil
}

func (x *SearchModelMonitoringStatsRequest) GetPageSize() int32 {
	if x != nil {
		return x.PageSize
	}
	return 0
}

func (x *SearchModelMonitoringStatsRequest) GetPageToken() string {
	if x != nil {
		return x.PageToken
	}
	return ""
}

// Response message for
// [ModelMonitoringService.SearchModelMonitoringStats][google.cloud.aiplatform.v1beta1.ModelMonitoringService.SearchModelMonitoringStats].
type SearchModelMonitoringStatsResponse struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Stats retrieved for requested objectives.
	MonitoringStats []*ModelMonitoringStats `protobuf:"bytes,1,rep,name=monitoring_stats,json=monitoringStats,proto3" json:"monitoring_stats,omitempty"`
	// The page token that can be used by the next
	// [ModelMonitoringService.SearchModelMonitoringStats][google.cloud.aiplatform.v1beta1.ModelMonitoringService.SearchModelMonitoringStats]
	// call.
	NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	unknownFields protoimpl.UnknownFields
	sizeCache     protoimpl.SizeCache
}

func (x *SearchModelMonitoringStatsResponse) Reset() {
	*x = SearchModelMonitoringStatsResponse{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[14]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*SearchModelMonitoringStatsResponse) ProtoMessage() {}

func (x *SearchModelMonitoringStatsResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[14]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use SearchModelMonitoringStatsResponse.ProtoReflect.Descriptor instead.
func (*SearchModelMonitoringStatsResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDescGZIP(), []int{14}
}

func (x *SearchModelMonitoringStatsResponse) GetMonitoringStats() []*ModelMonitoringStats {
	if x != nil {
		return x.MonitoringStats
	}
	return nil
}

func (x *SearchModelMonitoringStatsResponse) GetNextPageToken() string {
	if x != nil {
		return x.NextPageToken
	}
	return ""
}

// Request message for
// [ModelMonitoringService.SearchModelMonitoringAlerts][google.cloud.aiplatform.v1beta1.ModelMonitoringService.SearchModelMonitoringAlerts].
type SearchModelMonitoringAlertsRequest struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Required. ModelMonitor resource name.
	// Format:
	// `projects/{project}/locations/{location}/modelMonitors/{model_monitor}`
	ModelMonitor string `protobuf:"bytes,1,opt,name=model_monitor,json=modelMonitor,proto3" json:"model_monitor,omitempty"`
	// If non-empty, returns the alerts of this model monitoring job.
	ModelMonitoringJob string `protobuf:"bytes,2,opt,name=model_monitoring_job,json=modelMonitoringJob,proto3" json:"model_monitoring_job,omitempty"`
	// If non-empty, returns the alerts in this time interval.
	AlertTimeInterval *interval.Interval `protobuf:"bytes,3,opt,name=alert_time_interval,json=alertTimeInterval,proto3" json:"alert_time_interval,omitempty"`
	// If non-empty, returns the alerts of this stats_name.
	StatsName string `protobuf:"bytes,4,opt,name=stats_name,json=statsName,proto3" json:"stats_name,omitempty"`
	// If non-empty, returns the alerts of this objective type.
	// Supported monitoring objectives:
	// `raw-feature-drift`
	// `prediction-output-drift`
	// `feature-attribution`
	ObjectiveType string `protobuf:"bytes,5,opt,name=objective_type,json=objectiveType,proto3" json:"objective_type,omitempty"`
	// The standard list page size.
	PageSize int32 `protobuf:"varint,6,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
	// A page token received from a previous
	// [ModelMonitoringService.SearchModelMonitoringAlerts][google.cloud.aiplatform.v1beta1.ModelMonitoringService.SearchModelMonitoringAlerts]
	// call.
	PageToken     string `protobuf:"bytes,7,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
	unknownFields protoimpl.UnknownFields
	sizeCache     protoimpl.SizeCache
}

func (x *SearchModelMonitoringAlertsRequest) Reset() {
	*x = SearchModelMonitoringAlertsRequest{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[15]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*SearchModelMonitoringAlertsRequest) ProtoMessage() {}

func (x *SearchModelMonitoringAlertsRequest) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[15]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use SearchModelMonitoringAlertsRequest.ProtoReflect.Descriptor instead.
func (*SearchModelMonitoringAlertsRequest) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDescGZIP(), []int{15}
}

func (x *SearchModelMonitoringAlertsRequest) GetModelMonitor() string {
	if x != nil {
		return x.ModelMonitor
	}
	return ""
}

func (x *SearchModelMonitoringAlertsRequest) GetModelMonitoringJob() string {
	if x != nil {
		return x.ModelMonitoringJob
	}
	return ""
}

func (x *SearchModelMonitoringAlertsRequest) GetAlertTimeInterval() *interval.Interval {
	if x != nil {
		return x.AlertTimeInterval
	}
	return nil
}

func (x *SearchModelMonitoringAlertsRequest) GetStatsName() string {
	if x != nil {
		return x.StatsName
	}
	return ""
}

func (x *SearchModelMonitoringAlertsRequest) GetObjectiveType() string {
	if x != nil {
		return x.ObjectiveType
	}
	return ""
}

func (x *SearchModelMonitoringAlertsRequest) GetPageSize() int32 {
	if x != nil {
		return x.PageSize
	}
	return 0
}

func (x *SearchModelMonitoringAlertsRequest) GetPageToken() string {
	if x != nil {
		return x.PageToken
	}
	return ""
}

// Response message for
// [ModelMonitoringService.SearchModelMonitoringAlerts][google.cloud.aiplatform.v1beta1.ModelMonitoringService.SearchModelMonitoringAlerts].
type SearchModelMonitoringAlertsResponse struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Alerts retrieved for the requested objectives. Sorted by alert time
	// descendingly.
	ModelMonitoringAlerts []*ModelMonitoringAlert `protobuf:"bytes,1,rep,name=model_monitoring_alerts,json=modelMonitoringAlerts,proto3" json:"model_monitoring_alerts,omitempty"`
	// The total number of alerts retrieved by the requested objectives.
	TotalNumberAlerts int64 `protobuf:"varint,2,opt,name=total_number_alerts,json=totalNumberAlerts,proto3" json:"total_number_alerts,omitempty"`
	// The page token that can be used by the next
	// [ModelMonitoringService.SearchModelMonitoringAlerts][google.cloud.aiplatform.v1beta1.ModelMonitoringService.SearchModelMonitoringAlerts]
	// call.
	NextPageToken string `protobuf:"bytes,3,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
	unknownFields protoimpl.UnknownFields
	sizeCache     protoimpl.SizeCache
}

func (x *SearchModelMonitoringAlertsResponse) Reset() {
	*x = SearchModelMonitoringAlertsResponse{}
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[16]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*SearchModelMonitoringAlertsResponse) ProtoMessage() {}

func (x *SearchModelMonitoringAlertsResponse) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes[16]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use SearchModelMonitoringAlertsResponse.ProtoReflect.Descriptor instead.
func (*SearchModelMonitoringAlertsResponse) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDescGZIP(), []int{16}
}

func (x *SearchModelMonitoringAlertsResponse) GetModelMonitoringAlerts() []*ModelMonitoringAlert {
	if x != nil {
		return x.ModelMonitoringAlerts
	}
	return nil
}

func (x *SearchModelMonitoringAlertsResponse) GetTotalNumberAlerts() int64 {
	if x != nil {
		return x.TotalNumberAlerts
	}
	return 0
}

func (x *SearchModelMonitoringAlertsResponse) GetNextPageToken() string {
	if x != nil {
		return x.NextPageToken
	}
	return ""
}

var File_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto protoreflect.FileDescriptor

const file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDesc = "" +
	"\n" +
	">google/cloud/aiplatform/v1beta1/model_monitoring_service.proto\x12\x1fgoogle.cloud.aiplatform.v1beta1\x1a\x1cgoogle/api/annotations.proto\x1a\x17google/api/client.proto\x1a\x1fgoogle/api/field_behavior.proto\x1a\x19google/api/resource.proto\x1a3google/cloud/aiplatform/v1beta1/model_monitor.proto\x1a<google/cloud/aiplatform/v1beta1/model_monitoring_alert.proto\x1a:google/cloud/aiplatform/v1beta1/model_monitoring_job.proto\x1a<google/cloud/aiplatform/v1beta1/model_monitoring_stats.proto\x1a/google/cloud/aiplatform/v1beta1/operation.proto\x1a#google/longrunning/operations.proto\x1a\x1bgoogle/protobuf/empty.proto\x1a google/protobuf/field_mask.proto\x1a\x1agoogle/type/interval.proto\"\xe6\x01\n" +
	"\x19CreateModelMonitorRequest\x12A\n" +
	"\x06parent\x18\x01 \x01(\tB)\xe0A\x02\xfaA#\n" +
	"!locations.googleapis.com/LocationR\x06parent\x12W\n" +
	"\rmodel_monitor\x18\x02 \x01(\v2-.google.cloud.aiplatform.v1beta1.ModelMonitorB\x03\xe0A\x02R\fmodelMonitor\x12-\n" +
	"\x10model_monitor_id\x18\x03 \x01(\tB\x03\xe0A\x01R\x0emodelMonitorId\"\x8b\x01\n" +
	"#CreateModelMonitorOperationMetadata\x12d\n" +
	"\x10generic_metadata\x18\x01 \x01(\v29.google.cloud.aiplatform.v1beta1.GenericOperationMetadataR\x0fgenericMetadata\"\xb6\x01\n" +
	"\x19UpdateModelMonitorRequest\x12W\n" +
	"\rmodel_monitor\x18\x01 \x01(\v2-.google.cloud.aiplatform.v1beta1.ModelMonitorB\x03\xe0A\x02R\fmodelMonitor\x12@\n" +
	"\vupdate_mask\x18\x02 \x01(\v2\x1a.google.protobuf.FieldMaskB\x03\xe0A\x02R\n" +
	"updateMask\"\x8b\x01\n" +
	"#UpdateModelMonitorOperationMetadata\x12d\n" +
	"\x10generic_metadata\x18\x01 \x01(\v29.google.cloud.aiplatform.v1beta1.GenericOperationMetadataR\x0fgenericMetadata\"\\\n" +
	"\x16GetModelMonitorRequest\x12B\n" +
	"\x04name\x18\x01 \x01(\tB.\xe0A\x02\xfaA(\n" +
	"&aiplatform.googleapis.com/ModelMonitorR\x04name\"\xea\x01\n" +
	"\x18ListModelMonitorsRequest\x12A\n" +
	"\x06parent\x18\x01 \x01(\tB)\xe0A\x02\xfaA#\n" +
	"!locations.googleapis.com/LocationR\x06parent\x12\x16\n" +
	"\x06filter\x18\x02 \x01(\tR\x06filter\x12\x1b\n" +
	"\tpage_size\x18\x03 \x01(\x05R\bpageSize\x12\x1d\n" +
	"\n" +
	"page_token\x18\x04 \x01(\tR\tpageToken\x127\n" +
	"\tread_mask\x18\x05 \x01(\v2\x1a.google.protobuf.FieldMaskR\breadMask\"\x99\x01\n" +
	"\x19ListModelMonitorsResponse\x12T\n" +
	"\x0emodel_monitors\x18\x01 \x03(\v2-.google.cloud.aiplatform.v1beta1.ModelMonitorR\rmodelMonitors\x12&\n" +
	"\x0fnext_page_token\x18\x02 \x01(\tR\rnextPageToken\"z\n" +
	"\x19DeleteModelMonitorRequest\x12B\n" +
	"\x04name\x18\x01 \x01(\tB.\xe0A\x02\xfaA(\n" +
	"&aiplatform.googleapis.com/ModelMonitorR\x04name\x12\x19\n" +
	"\x05force\x18\x02 \x01(\bB\x03\xe0A\x01R\x05force\"\x91\x02\n" +
	"\x1fCreateModelMonitoringJobRequest\x12F\n" +
	"\x06parent\x18\x01 \x01(\tB.\xe0A\x02\xfaA(\n" +
	"&aiplatform.googleapis.com/ModelMonitorR\x06parent\x12j\n" +
	"\x14model_monitoring_job\x18\x02 \x01(\v23.google.cloud.aiplatform.v1beta1.ModelMonitoringJobB\x03\xe0A\x02R\x12modelMonitoringJob\x12:\n" +
	"\x17model_monitoring_job_id\x18\x03 \x01(\tB\x03\xe0A\x01R\x14modelMonitoringJobId\"h\n" +
	"\x1cGetModelMonitoringJobRequest\x12H\n" +
	"\x04name\x18\x01 \x01(\tB4\xe0A\x02\xfaA.\n" +
	",aiplatform.googleapis.com/ModelMonitoringJobR\x04name\"\xf5\x01\n" +
	"\x1eListModelMonitoringJobsRequest\x12F\n" +
	"\x06parent\x18\x01 \x01(\tB.\xe0A\x02\xfaA(\n" +
	"&aiplatform.googleapis.com/ModelMonitorR\x06parent\x12\x16\n" +
	"\x06filter\x18\x02 \x01(\tR\x06filter\x12\x1b\n" +
	"\tpage_size\x18\x03 \x01(\x05R\bpageSize\x12\x1d\n" +
	"\n" +
	"page_token\x18\x04 \x01(\tR\tpageToken\x127\n" +
	"\tread_mask\x18\x05 \x01(\v2\x1a.google.protobuf.FieldMaskR\breadMask\"\xb2\x01\n" +
	"\x1fListModelMonitoringJobsResponse\x12g\n" +
	"\x15model_monitoring_jobs\x18\x01 \x03(\v23.google.cloud.aiplatform.v1beta1.ModelMonitoringJobR\x13modelMonitoringJobs\x12&\n" +
	"\x0fnext_page_token\x18\x02 \x01(\tR\rnextPageToken\"k\n" +
	"\x1fDeleteModelMonitoringJobRequest\x12H\n" +
	"\x04name\x18\x01 \x01(\tB4\xe0A\x02\xfaA.\n" +
	",aiplatform.googleapis.com/ModelMonitoringJobR\x04name\"\xd6\x02\n" +
	"!SearchModelMonitoringStatsRequest\x12S\n" +
	"\rmodel_monitor\x18\x01 \x01(\tB.\xe0A\x02\xfaA(\n" +
	"&aiplatform.googleapis.com/ModelMonitorR\fmodelMonitor\x12d\n" +
	"\fstats_filter\x18\x02 \x01(\v2A.google.cloud.aiplatform.v1beta1.SearchModelMonitoringStatsFilterR\vstatsFilter\x12:\n" +
	"\rtime_interval\x18\x03 \x01(\v2\x15.google.type.IntervalR\ftimeInterval\x12\x1b\n" +
	"\tpage_size\x18\x04 \x01(\x05R\bpageSize\x12\x1d\n" +
	"\n" +
	"page_token\x18\x05 \x01(\tR\tpageToken\"\xae\x01\n" +
	"\"SearchModelMonitoringStatsResponse\x12`\n" +
	"\x10monitoring_stats\x18\x01 \x03(\v25.google.cloud.aiplatform.v1beta1.ModelMonitoringStatsR\x0fmonitoringStats\x12&\n" +
	"\x0fnext_page_token\x18\x02 \x01(\tR\rnextPageToken\"\xf4\x02\n" +
	"\"SearchModelMonitoringAlertsRequest\x12S\n" +
	"\rmodel_monitor\x18\x01 \x01(\tB.\xe0A\x02\xfaA(\n" +
	"&aiplatform.googleapis.com/ModelMonitorR\fmodelMonitor\x120\n" +
	"\x14model_monitoring_job\x18\x02 \x01(\tR\x12modelMonitoringJob\x12E\n" +
	"\x13alert_time_interval\x18\x03 \x01(\v2\x15.google.type.IntervalR\x11alertTimeInterval\x12\x1d\n" +
	"\n" +
	"stats_name\x18\x04 \x01(\tR\tstatsName\x12%\n" +
	"\x0eobjective_type\x18\x05 \x01(\tR\robjectiveType\x12\x1b\n" +
	"\tpage_size\x18\x06 \x01(\x05R\bpageSize\x12\x1d\n" +
	"\n" +
	"page_token\x18\a \x01(\tR\tpageToken\"\xec\x01\n" +
	"#SearchModelMonitoringAlertsResponse\x12m\n" +
	"\x17model_monitoring_alerts\x18\x01 \x03(\v25.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertR\x15modelMonitoringAlerts\x12.\n" +
	"\x13total_number_alerts\x18\x02 \x01(\x03R\x11totalNumberAlerts\x12&\n" +
	"\x0fnext_page_token\x18\x03 \x01(\tR\rnextPageToken2\xf6\x16\n" +
	"\x16ModelMonitoringService\x12\x8c\x02\n" +
	"\x12CreateModelMonitor\x12:.google.cloud.aiplatform.v1beta1.CreateModelMonitorRequest\x1a\x1d.google.longrunning.Operation\"\x9a\x01\xcaA3\n" +
	"\fModelMonitor\x12#CreateModelMonitorOperationMetadata\xdaA\x14parent,model_monitor\x82\xd3\xe4\x93\x02G:\rmodel_monitor\"6/v1beta1/{parent=projects/*/locations/*}/modelMonitors\x12\x9f\x02\n" +
	"\x12UpdateModelMonitor\x12:.google.cloud.aiplatform.v1beta1.UpdateModelMonitorRequest\x1a\x1d.google.longrunning.Operation\"\xad\x01\xcaA3\n" +
	"\fModelMonitor\x12#UpdateModelMonitorOperationMetadata\xdaA\x19model_monitor,update_mask\x82\xd3\xe4\x93\x02U:\rmodel_monitor2D/v1beta1/{model_monitor.name=projects/*/locations/*/modelMonitors/*}\x12\xc0\x01\n" +
	"\x0fGetModelMonitor\x127.google.cloud.aiplatform.v1beta1.GetModelMonitorRequest\x1a-.google.cloud.aiplatform.v1beta1.ModelMonitor\"E\xdaA\x04name\x82\xd3\xe4\x93\x028\x126/v1beta1/{name=projects/*/locations/*/modelMonitors/*}\x12\xd3\x01\n" +
	"\x11ListModelMonitors\x129.google.cloud.aiplatform.v1beta1.ListModelMonitorsRequest\x1a:.google.cloud.aiplatform.v1beta1.ListModelMonitorsResponse\"G\xdaA\x06parent\x82\xd3\xe4\x93\x028\x126/v1beta1/{parent=projects/*/locations/*}/modelMonitors\x12\xe9\x01\n" +
	"\x12DeleteModelMonitor\x12:.google.cloud.aiplatform.v1beta1.DeleteModelMonitorRequest\x1a\x1d.google.longrunning.Operation\"x\xcaA0\n" +
	"\x15google.protobuf.Empty\x12\x17DeleteOperationMetadata\xdaA\x04name\x82\xd3\xe4\x93\x028*6/v1beta1/{name=projects/*/locations/*/modelMonitors/*}\x12\x9c\x02\n" +
	"\x18CreateModelMonitoringJob\x12@.google.cloud.aiplatform.v1beta1.CreateModelMonitoringJobRequest\x1a3.google.cloud.aiplatform.v1beta1.ModelMonitoringJob\"\x88\x01\xdaA\x1bparent,model_monitoring_job\x82\xd3\xe4\x93\x02d:\x14model_monitoring_job\"L/v1beta1/{parent=projects/*/locations/*/modelMonitors/*}/modelMonitoringJobs\x12\xe8\x01\n" +
	"\x15GetModelMonitoringJob\x12=.google.cloud.aiplatform.v1beta1.GetModelMonitoringJobRequest\x1a3.google.cloud.aiplatform.v1beta1.ModelMonitoringJob\"[\xdaA\x04name\x82\xd3\xe4\x93\x02N\x12L/v1beta1/{name=projects/*/locations/*/modelMonitors/*/modelMonitoringJobs/*}\x12\xfb\x01\n" +
	"\x17ListModelMonitoringJobs\x12?.google.cloud.aiplatform.v1beta1.ListModelMonitoringJobsRequest\x1a@.google.cloud.aiplatform.v1beta1.ListModelMonitoringJobsResponse\"]\xdaA\x06parent\x82\xd3\xe4\x93\x02N\x12L/v1beta1/{parent=projects/*/locations/*/modelMonitors/*}/modelMonitoringJobs\x12\x8c\x02\n" +
	"\x18DeleteModelMonitoringJob\x12@.google.cloud.aiplatform.v1beta1.DeleteModelMonitoringJobRequest\x1a\x1d.google.longrunning.Operation\"\x8e\x01\xcaA0\n" +
	"\x15google.protobuf.Empty\x12\x17DeleteOperationMetadata\xdaA\x04name\x82\xd3\xe4\x93\x02N*L/v1beta1/{name=projects/*/locations/*/modelMonitors/*/modelMonitoringJobs/*}\x12\x9c\x02\n" +
	"\x1aSearchModelMonitoringStats\x12B.google.cloud.aiplatform.v1beta1.SearchModelMonitoringStatsRequest\x1aC.google.cloud.aiplatform.v1beta1.SearchModelMonitoringStatsResponse\"u\xdaA\rmodel_monitor\x82\xd3\xe4\x93\x02_:\x01*\"Z/v1beta1/{model_monitor=projects/*/locations/*/modelMonitors/*}:searchModelMonitoringStats\x12\xa0\x02\n" +
	"\x1bSearchModelMonitoringAlerts\x12C.google.cloud.aiplatform.v1beta1.SearchModelMonitoringAlertsRequest\x1aD.google.cloud.aiplatform.v1beta1.SearchModelMonitoringAlertsResponse\"v\xdaA\rmodel_monitor\x82\xd3\xe4\x93\x02`:\x01*\"[/v1beta1/{model_monitor=projects/*/locations/*/modelMonitors/*}:searchModelMonitoringAlerts\x1aM\xcaA\x19aiplatform.googleapis.com\xd2A.https://www.googleapis.com/auth/cloud-platformB\xf2\x01\n" +
	"#com.google.cloud.aiplatform.v1beta1B\x1bModelMonitoringServiceProtoP\x01ZCcloud.google.com/go/aiplatform/apiv1beta1/aiplatformpb;aiplatformpb\xaa\x02\x1fGoogle.Cloud.AIPlatform.V1Beta1\xca\x02\x1fGoogle\\Cloud\\AIPlatform\\V1beta1\xea\x02\"Google::Cloud::AIPlatform::V1beta1b\x06proto3"

var (
	file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDescOnce sync.Once
	file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDescData []byte
)

func file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDescGZIP() []byte {
	file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDescOnce.Do(func() {
		file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDescData = protoimpl.X.CompressGZIP(unsafe.Slice(unsafe.StringData(file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDesc), len(file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDesc)))
	})
	return file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDescData
}

var file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes = make([]protoimpl.MessageInfo, 17)
var file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_goTypes = []any{
	(*CreateModelMonitorRequest)(nil),           // 0: google.cloud.aiplatform.v1beta1.CreateModelMonitorRequest
	(*CreateModelMonitorOperationMetadata)(nil), // 1: google.cloud.aiplatform.v1beta1.CreateModelMonitorOperationMetadata
	(*UpdateModelMonitorRequest)(nil),           // 2: google.cloud.aiplatform.v1beta1.UpdateModelMonitorRequest
	(*UpdateModelMonitorOperationMetadata)(nil), // 3: google.cloud.aiplatform.v1beta1.UpdateModelMonitorOperationMetadata
	(*GetModelMonitorRequest)(nil),              // 4: google.cloud.aiplatform.v1beta1.GetModelMonitorRequest
	(*ListModelMonitorsRequest)(nil),            // 5: google.cloud.aiplatform.v1beta1.ListModelMonitorsRequest
	(*ListModelMonitorsResponse)(nil),           // 6: google.cloud.aiplatform.v1beta1.ListModelMonitorsResponse
	(*DeleteModelMonitorRequest)(nil),           // 7: google.cloud.aiplatform.v1beta1.DeleteModelMonitorRequest
	(*CreateModelMonitoringJobRequest)(nil),     // 8: google.cloud.aiplatform.v1beta1.CreateModelMonitoringJobRequest
	(*GetModelMonitoringJobRequest)(nil),        // 9: google.cloud.aiplatform.v1beta1.GetModelMonitoringJobRequest
	(*ListModelMonitoringJobsRequest)(nil),      // 10: google.cloud.aiplatform.v1beta1.ListModelMonitoringJobsRequest
	(*ListModelMonitoringJobsResponse)(nil),     // 11: google.cloud.aiplatform.v1beta1.ListModelMonitoringJobsResponse
	(*DeleteModelMonitoringJobRequest)(nil),     // 12: google.cloud.aiplatform.v1beta1.DeleteModelMonitoringJobRequest
	(*SearchModelMonitoringStatsRequest)(nil),   // 13: google.cloud.aiplatform.v1beta1.SearchModelMonitoringStatsRequest
	(*SearchModelMonitoringStatsResponse)(nil),  // 14: google.cloud.aiplatform.v1beta1.SearchModelMonitoringStatsResponse
	(*SearchModelMonitoringAlertsRequest)(nil),  // 15: google.cloud.aiplatform.v1beta1.SearchModelMonitoringAlertsRequest
	(*SearchModelMonitoringAlertsResponse)(nil), // 16: google.cloud.aiplatform.v1beta1.SearchModelMonitoringAlertsResponse
	(*ModelMonitor)(nil),                        // 17: google.cloud.aiplatform.v1beta1.ModelMonitor
	(*GenericOperationMetadata)(nil),            // 18: google.cloud.aiplatform.v1beta1.GenericOperationMetadata
	(*fieldmaskpb.FieldMask)(nil),               // 19: google.protobuf.FieldMask
	(*ModelMonitoringJob)(nil),                  // 20: google.cloud.aiplatform.v1beta1.ModelMonitoringJob
	(*SearchModelMonitoringStatsFilter)(nil),    // 21: google.cloud.aiplatform.v1beta1.SearchModelMonitoringStatsFilter
	(*interval.Interval)(nil),                   // 22: google.type.Interval
	(*ModelMonitoringStats)(nil),                // 23: google.cloud.aiplatform.v1beta1.ModelMonitoringStats
	(*ModelMonitoringAlert)(nil),                // 24: google.cloud.aiplatform.v1beta1.ModelMonitoringAlert
	(*longrunningpb.Operation)(nil),             // 25: google.longrunning.Operation
}
var file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_depIdxs = []int32{
	17, // 0: google.cloud.aiplatform.v1beta1.CreateModelMonitorRequest.model_monitor:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitor
	18, // 1: google.cloud.aiplatform.v1beta1.CreateModelMonitorOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1beta1.GenericOperationMetadata
	17, // 2: google.cloud.aiplatform.v1beta1.UpdateModelMonitorRequest.model_monitor:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitor
	19, // 3: google.cloud.aiplatform.v1beta1.UpdateModelMonitorRequest.update_mask:type_name -> google.protobuf.FieldMask
	18, // 4: google.cloud.aiplatform.v1beta1.UpdateModelMonitorOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1beta1.GenericOperationMetadata
	19, // 5: google.cloud.aiplatform.v1beta1.ListModelMonitorsRequest.read_mask:type_name -> google.protobuf.FieldMask
	17, // 6: google.cloud.aiplatform.v1beta1.ListModelMonitorsResponse.model_monitors:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitor
	20, // 7: google.cloud.aiplatform.v1beta1.CreateModelMonitoringJobRequest.model_monitoring_job:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringJob
	19, // 8: google.cloud.aiplatform.v1beta1.ListModelMonitoringJobsRequest.read_mask:type_name -> google.protobuf.FieldMask
	20, // 9: google.cloud.aiplatform.v1beta1.ListModelMonitoringJobsResponse.model_monitoring_jobs:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringJob
	21, // 10: google.cloud.aiplatform.v1beta1.SearchModelMonitoringStatsRequest.stats_filter:type_name -> google.cloud.aiplatform.v1beta1.SearchModelMonitoringStatsFilter
	22, // 11: google.cloud.aiplatform.v1beta1.SearchModelMonitoringStatsRequest.time_interval:type_name -> google.type.Interval
	23, // 12: google.cloud.aiplatform.v1beta1.SearchModelMonitoringStatsResponse.monitoring_stats:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringStats
	22, // 13: google.cloud.aiplatform.v1beta1.SearchModelMonitoringAlertsRequest.alert_time_interval:type_name -> google.type.Interval
	24, // 14: google.cloud.aiplatform.v1beta1.SearchModelMonitoringAlertsResponse.model_monitoring_alerts:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringAlert
	0,  // 15: google.cloud.aiplatform.v1beta1.ModelMonitoringService.CreateModelMonitor:input_type -> google.cloud.aiplatform.v1beta1.CreateModelMonitorRequest
	2,  // 16: google.cloud.aiplatform.v1beta1.ModelMonitoringService.UpdateModelMonitor:input_type -> google.cloud.aiplatform.v1beta1.UpdateModelMonitorRequest
	4,  // 17: google.cloud.aiplatform.v1beta1.ModelMonitoringService.GetModelMonitor:input_type -> google.cloud.aiplatform.v1beta1.GetModelMonitorRequest
	5,  // 18: google.cloud.aiplatform.v1beta1.ModelMonitoringService.ListModelMonitors:input_type -> google.cloud.aiplatform.v1beta1.ListModelMonitorsRequest
	7,  // 19: google.cloud.aiplatform.v1beta1.ModelMonitoringService.DeleteModelMonitor:input_type -> google.cloud.aiplatform.v1beta1.DeleteModelMonitorRequest
	8,  // 20: google.cloud.aiplatform.v1beta1.ModelMonitoringService.CreateModelMonitoringJob:input_type -> google.cloud.aiplatform.v1beta1.CreateModelMonitoringJobRequest
	9,  // 21: google.cloud.aiplatform.v1beta1.ModelMonitoringService.GetModelMonitoringJob:input_type -> google.cloud.aiplatform.v1beta1.GetModelMonitoringJobRequest
	10, // 22: google.cloud.aiplatform.v1beta1.ModelMonitoringService.ListModelMonitoringJobs:input_type -> google.cloud.aiplatform.v1beta1.ListModelMonitoringJobsRequest
	12, // 23: google.cloud.aiplatform.v1beta1.ModelMonitoringService.DeleteModelMonitoringJob:input_type -> google.cloud.aiplatform.v1beta1.DeleteModelMonitoringJobRequest
	13, // 24: google.cloud.aiplatform.v1beta1.ModelMonitoringService.SearchModelMonitoringStats:input_type -> google.cloud.aiplatform.v1beta1.SearchModelMonitoringStatsRequest
	15, // 25: google.cloud.aiplatform.v1beta1.ModelMonitoringService.SearchModelMonitoringAlerts:input_type -> google.cloud.aiplatform.v1beta1.SearchModelMonitoringAlertsRequest
	25, // 26: google.cloud.aiplatform.v1beta1.ModelMonitoringService.CreateModelMonitor:output_type -> google.longrunning.Operation
	25, // 27: google.cloud.aiplatform.v1beta1.ModelMonitoringService.UpdateModelMonitor:output_type -> google.longrunning.Operation
	17, // 28: google.cloud.aiplatform.v1beta1.ModelMonitoringService.GetModelMonitor:output_type -> google.cloud.aiplatform.v1beta1.ModelMonitor
	6,  // 29: google.cloud.aiplatform.v1beta1.ModelMonitoringService.ListModelMonitors:output_type -> google.cloud.aiplatform.v1beta1.ListModelMonitorsResponse
	25, // 30: google.cloud.aiplatform.v1beta1.ModelMonitoringService.DeleteModelMonitor:output_type -> google.longrunning.Operation
	20, // 31: google.cloud.aiplatform.v1beta1.ModelMonitoringService.CreateModelMonitoringJob:output_type -> google.cloud.aiplatform.v1beta1.ModelMonitoringJob
	20, // 32: google.cloud.aiplatform.v1beta1.ModelMonitoringService.GetModelMonitoringJob:output_type -> google.cloud.aiplatform.v1beta1.ModelMonitoringJob
	11, // 33: google.cloud.aiplatform.v1beta1.ModelMonitoringService.ListModelMonitoringJobs:output_type -> google.cloud.aiplatform.v1beta1.ListModelMonitoringJobsResponse
	25, // 34: google.cloud.aiplatform.v1beta1.ModelMonitoringService.DeleteModelMonitoringJob:output_type -> google.longrunning.Operation
	14, // 35: google.cloud.aiplatform.v1beta1.ModelMonitoringService.SearchModelMonitoringStats:output_type -> google.cloud.aiplatform.v1beta1.SearchModelMonitoringStatsResponse
	16, // 36: google.cloud.aiplatform.v1beta1.ModelMonitoringService.SearchModelMonitoringAlerts:output_type -> google.cloud.aiplatform.v1beta1.SearchModelMonitoringAlertsResponse
	26, // [26:37] is the sub-list for method output_type
	15, // [15:26] is the sub-list for method input_type
	15, // [15:15] is the sub-list for extension type_name
	15, // [15:15] is the sub-list for extension extendee
	0,  // [0:15] is the sub-list for field type_name
}

func init() { file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_init() }
func file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_init() {
	if File_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto != nil {
		return
	}
	file_google_cloud_aiplatform_v1beta1_model_monitor_proto_init()
	file_google_cloud_aiplatform_v1beta1_model_monitoring_alert_proto_init()
	file_google_cloud_aiplatform_v1beta1_model_monitoring_job_proto_init()
	file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_init()
	file_google_cloud_aiplatform_v1beta1_operation_proto_init()
	type x struct{}
	out := protoimpl.TypeBuilder{
		File: protoimpl.DescBuilder{
			GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
			RawDescriptor: unsafe.Slice(unsafe.StringData(file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDesc), len(file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_rawDesc)),
			NumEnums:      0,
			NumMessages:   17,
			NumExtensions: 0,
			NumServices:   1,
		},
		GoTypes:           file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_goTypes,
		DependencyIndexes: file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_depIdxs,
		MessageInfos:      file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_msgTypes,
	}.Build()
	File_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto = out.File
	file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_goTypes = nil
	file_google_cloud_aiplatform_v1beta1_model_monitoring_service_proto_depIdxs = nil
}
