/
feature_monitoring_stats.pb.go
executable file
·293 lines (268 loc) · 14.7 KB
/
feature_monitoring_stats.pb.go
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// Copyright 2023 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 v1.32.0
// protoc v4.25.2
// source: google/cloud/aiplatform/v1beta1/feature_monitoring_stats.proto
package aiplatformpb
import (
reflect "reflect"
sync "sync"
protoreflect "google.golang.org/protobuf/reflect/protoreflect"
protoimpl "google.golang.org/protobuf/runtime/protoimpl"
timestamppb "google.golang.org/protobuf/types/known/timestamppb"
)
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)
)
// Stats and Anomaly generated at specific timestamp for specific Feature.
// The start_time and end_time are used to define the time range of the dataset
// that current stats belongs to, e.g. prediction traffic is bucketed into
// prediction datasets by time window. If the Dataset is not defined by time
// window, start_time = end_time. Timestamp of the stats and anomalies always
// refers to end_time. Raw stats and anomalies are stored in stats_uri or
// anomaly_uri in the tensorflow defined protos. Field data_stats contains
// almost identical information with the raw stats in Vertex AI
// defined proto, for UI to display.
type FeatureStatsAnomaly struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Feature importance score, only populated when cross-feature monitoring is
// enabled. For now only used to represent feature attribution score within
// range [0, 1] for
// [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_SKEW]
// and
// [ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT][google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringObjectiveType.FEATURE_ATTRIBUTION_DRIFT].
Score float64 `protobuf:"fixed64,1,opt,name=score,proto3" json:"score,omitempty"`
// Path of the stats file for current feature values in Cloud Storage bucket.
// Format: gs://<bucket_name>/<object_name>/stats.
// Example: gs://monitoring_bucket/feature_name/stats.
// Stats are stored as binary format with Protobuf message
// [tensorflow.metadata.v0.FeatureNameStatistics](https://github.com/tensorflow/metadata/blob/master/tensorflow_metadata/proto/v0/statistics.proto).
StatsUri string `protobuf:"bytes,3,opt,name=stats_uri,json=statsUri,proto3" json:"stats_uri,omitempty"`
// Path of the anomaly file for current feature values in Cloud Storage
// bucket.
// Format: gs://<bucket_name>/<object_name>/anomalies.
// Example: gs://monitoring_bucket/feature_name/anomalies.
// Stats are stored as binary format with Protobuf message
// Anoamlies are stored as binary format with Protobuf message
// [tensorflow.metadata.v0.AnomalyInfo]
// (https://github.com/tensorflow/metadata/blob/master/tensorflow_metadata/proto/v0/anomalies.proto).
AnomalyUri string `protobuf:"bytes,4,opt,name=anomaly_uri,json=anomalyUri,proto3" json:"anomaly_uri,omitempty"`
// Deviation from the current stats to baseline stats.
// 1. For categorical feature, the distribution distance is calculated by
// L-inifinity norm.
// 2. For numerical feature, the distribution distance is calculated by
// Jensen–Shannon divergence.
DistributionDeviation float64 `protobuf:"fixed64,5,opt,name=distribution_deviation,json=distributionDeviation,proto3" json:"distribution_deviation,omitempty"`
// This is the threshold used when detecting anomalies.
// The threshold can be changed by user, so this one might be different from
// [ThresholdConfig.value][google.cloud.aiplatform.v1beta1.ThresholdConfig.value].
AnomalyDetectionThreshold float64 `protobuf:"fixed64,9,opt,name=anomaly_detection_threshold,json=anomalyDetectionThreshold,proto3" json:"anomaly_detection_threshold,omitempty"`
// The start timestamp of window where stats were generated.
// For objectives where time window doesn't make sense (e.g. Featurestore
// Snapshot Monitoring), start_time is only used to indicate the monitoring
// intervals, so it always equals to (end_time - monitoring_interval).
StartTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
// The end timestamp of window where stats were generated.
// For objectives where time window doesn't make sense (e.g. Featurestore
// Snapshot Monitoring), end_time indicates the timestamp of the data used to
// generate stats (e.g. timestamp we take snapshots for feature values).
EndTime *timestamppb.Timestamp `protobuf:"bytes,8,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
}
func (x *FeatureStatsAnomaly) Reset() {
*x = FeatureStatsAnomaly{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_proto_msgTypes[0]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *FeatureStatsAnomaly) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*FeatureStatsAnomaly) ProtoMessage() {}
func (x *FeatureStatsAnomaly) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_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 FeatureStatsAnomaly.ProtoReflect.Descriptor instead.
func (*FeatureStatsAnomaly) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_proto_rawDescGZIP(), []int{0}
}
func (x *FeatureStatsAnomaly) GetScore() float64 {
if x != nil {
return x.Score
}
return 0
}
func (x *FeatureStatsAnomaly) GetStatsUri() string {
if x != nil {
return x.StatsUri
}
return ""
}
func (x *FeatureStatsAnomaly) GetAnomalyUri() string {
if x != nil {
return x.AnomalyUri
}
return ""
}
func (x *FeatureStatsAnomaly) GetDistributionDeviation() float64 {
if x != nil {
return x.DistributionDeviation
}
return 0
}
func (x *FeatureStatsAnomaly) GetAnomalyDetectionThreshold() float64 {
if x != nil {
return x.AnomalyDetectionThreshold
}
return 0
}
func (x *FeatureStatsAnomaly) GetStartTime() *timestamppb.Timestamp {
if x != nil {
return x.StartTime
}
return nil
}
func (x *FeatureStatsAnomaly) GetEndTime() *timestamppb.Timestamp {
if x != nil {
return x.EndTime
}
return nil
}
var File_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_proto protoreflect.FileDescriptor
var file_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_proto_rawDesc = []byte{
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}
var (
file_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_proto_rawDescOnce sync.Once
file_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_proto_rawDescData = file_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_proto_rawDesc
)
func file_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_proto_rawDescGZIP() []byte {
file_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_proto_rawDescOnce.Do(func() {
file_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_proto_rawDescData)
})
return file_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_proto_rawDescData
}
var file_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_proto_msgTypes = make([]protoimpl.MessageInfo, 1)
var file_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_proto_goTypes = []interface{}{
(*FeatureStatsAnomaly)(nil), // 0: google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly
(*timestamppb.Timestamp)(nil), // 1: google.protobuf.Timestamp
}
var file_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_proto_depIdxs = []int32{
1, // 0: google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time:type_name -> google.protobuf.Timestamp
1, // 1: google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.end_time:type_name -> google.protobuf.Timestamp
2, // [2:2] is the sub-list for method output_type
2, // [2:2] is the sub-list for method input_type
2, // [2:2] is the sub-list for extension type_name
2, // [2:2] is the sub-list for extension extendee
0, // [0:2] is the sub-list for field type_name
}
func init() { file_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_proto_init() }
func file_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_proto_init() {
if File_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_proto != nil {
return
}
if !protoimpl.UnsafeEnabled {
file_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*FeatureStatsAnomaly); 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_feature_monitoring_stats_proto_rawDesc,
NumEnums: 0,
NumMessages: 1,
NumExtensions: 0,
NumServices: 0,
},
GoTypes: file_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_proto_goTypes,
DependencyIndexes: file_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_proto_depIdxs,
MessageInfos: file_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_proto_msgTypes,
}.Build()
File_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_proto = out.File
file_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_proto_rawDesc = nil
file_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_proto_goTypes = nil
file_google_cloud_aiplatform_v1beta1_feature_monitoring_stats_proto_depIdxs = nil
}