| // 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 v1.33.0 |
| // protoc v4.25.3 |
| // source: google/cloud/aiplatform/v1/featurestore_monitoring.proto |
| |
| package aiplatformpb |
| |
| import ( |
| reflect "reflect" |
| sync "sync" |
| |
| protoreflect "google.golang.org/protobuf/reflect/protoreflect" |
| protoimpl "google.golang.org/protobuf/runtime/protoimpl" |
| ) |
| |
| const ( |
| // Verify that this generated code is sufficiently up-to-date. |
| _ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion) |
| // Verify that runtime/protoimpl is sufficiently up-to-date. |
| _ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20) |
| ) |
| |
| // The state defines whether to enable ImportFeature analysis. |
| type FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State int32 |
| |
| const ( |
| // Should not be used. |
| FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_STATE_UNSPECIFIED FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State = 0 |
| // The default behavior of whether to enable the monitoring. |
| // EntityType-level config: disabled. |
| // Feature-level config: inherited from the configuration of EntityType |
| // this Feature belongs to. |
| FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_DEFAULT FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State = 1 |
| // Explicitly enables import features analysis. |
| // EntityType-level config: by default enables import features analysis |
| // for all Features under it. Feature-level config: enables import |
| // features analysis regardless of the EntityType-level config. |
| FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_ENABLED FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State = 2 |
| // Explicitly disables import features analysis. |
| // EntityType-level config: by default disables import features analysis |
| // for all Features under it. Feature-level config: disables import |
| // features analysis regardless of the EntityType-level config. |
| FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_DISABLED FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State = 3 |
| ) |
| |
| // Enum value maps for FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State. |
| var ( |
| FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State_name = map[int32]string{ |
| 0: "STATE_UNSPECIFIED", |
| 1: "DEFAULT", |
| 2: "ENABLED", |
| 3: "DISABLED", |
| } |
| FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State_value = map[string]int32{ |
| "STATE_UNSPECIFIED": 0, |
| "DEFAULT": 1, |
| "ENABLED": 2, |
| "DISABLED": 3, |
| } |
| ) |
| |
| func (x FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) Enum() *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State { |
| p := new(FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) |
| *p = x |
| return p |
| } |
| |
| func (x FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) String() string { |
| return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x)) |
| } |
| |
| func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) Descriptor() protoreflect.EnumDescriptor { |
| return file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_enumTypes[0].Descriptor() |
| } |
| |
| func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) Type() protoreflect.EnumType { |
| return &file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_enumTypes[0] |
| } |
| |
| func (x FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) Number() protoreflect.EnumNumber { |
| return protoreflect.EnumNumber(x) |
| } |
| |
| // Deprecated: Use FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State.Descriptor instead. |
| func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State) EnumDescriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_rawDescGZIP(), []int{0, 1, 0} |
| } |
| |
| // Defines the baseline to do anomaly detection for feature values imported |
| // by each |
| // [ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues] |
| // operation. |
| type FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline int32 |
| |
| const ( |
| // Should not be used. |
| FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_BASELINE_UNSPECIFIED FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline = 0 |
| // Choose the later one statistics generated by either most recent |
| // snapshot analysis or previous import features analysis. If non of them |
| // exists, skip anomaly detection and only generate a statistics. |
| FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_LATEST_STATS FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline = 1 |
| // Use the statistics generated by the most recent snapshot analysis if |
| // exists. |
| FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_MOST_RECENT_SNAPSHOT_STATS FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline = 2 |
| // Use the statistics generated by the previous import features analysis |
| // if exists. |
| FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_PREVIOUS_IMPORT_FEATURES_STATS FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline = 3 |
| ) |
| |
| // Enum value maps for FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline. |
| var ( |
| FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline_name = map[int32]string{ |
| 0: "BASELINE_UNSPECIFIED", |
| 1: "LATEST_STATS", |
| 2: "MOST_RECENT_SNAPSHOT_STATS", |
| 3: "PREVIOUS_IMPORT_FEATURES_STATS", |
| } |
| FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline_value = map[string]int32{ |
| "BASELINE_UNSPECIFIED": 0, |
| "LATEST_STATS": 1, |
| "MOST_RECENT_SNAPSHOT_STATS": 2, |
| "PREVIOUS_IMPORT_FEATURES_STATS": 3, |
| } |
| ) |
| |
| func (x FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) Enum() *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline { |
| p := new(FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) |
| *p = x |
| return p |
| } |
| |
| func (x FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) String() string { |
| return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x)) |
| } |
| |
| func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) Descriptor() protoreflect.EnumDescriptor { |
| return file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_enumTypes[1].Descriptor() |
| } |
| |
| func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) Type() protoreflect.EnumType { |
| return &file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_enumTypes[1] |
| } |
| |
| func (x FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) Number() protoreflect.EnumNumber { |
| return protoreflect.EnumNumber(x) |
| } |
| |
| // Deprecated: Use FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline.Descriptor instead. |
| func (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline) EnumDescriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_rawDescGZIP(), []int{0, 1, 1} |
| } |
| |
| // Configuration of how features in Featurestore are monitored. |
| type FeaturestoreMonitoringConfig struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The config for Snapshot Analysis Based Feature Monitoring. |
| SnapshotAnalysis *FeaturestoreMonitoringConfig_SnapshotAnalysis `protobuf:"bytes,1,opt,name=snapshot_analysis,json=snapshotAnalysis,proto3" json:"snapshot_analysis,omitempty"` |
| // The config for ImportFeatures Analysis Based Feature Monitoring. |
| ImportFeaturesAnalysis *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis `protobuf:"bytes,2,opt,name=import_features_analysis,json=importFeaturesAnalysis,proto3" json:"import_features_analysis,omitempty"` |
| // Threshold for numerical features of anomaly detection. |
| // This is shared by all objectives of Featurestore Monitoring for numerical |
| // features (i.e. Features with type |
| // ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE |
| // or INT64). |
| NumericalThresholdConfig *FeaturestoreMonitoringConfig_ThresholdConfig `protobuf:"bytes,3,opt,name=numerical_threshold_config,json=numericalThresholdConfig,proto3" json:"numerical_threshold_config,omitempty"` |
| // Threshold for categorical features of anomaly detection. |
| // This is shared by all types of Featurestore Monitoring for categorical |
| // features (i.e. Features with type |
| // ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or |
| // STRING). |
| CategoricalThresholdConfig *FeaturestoreMonitoringConfig_ThresholdConfig `protobuf:"bytes,4,opt,name=categorical_threshold_config,json=categoricalThresholdConfig,proto3" json:"categorical_threshold_config,omitempty"` |
| } |
| |
| func (x *FeaturestoreMonitoringConfig) Reset() { |
| *x = FeaturestoreMonitoringConfig{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_msgTypes[0] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *FeaturestoreMonitoringConfig) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*FeaturestoreMonitoringConfig) ProtoMessage() {} |
| |
| func (x *FeaturestoreMonitoringConfig) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_featurestore_monitoring_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 FeaturestoreMonitoringConfig.ProtoReflect.Descriptor instead. |
| func (*FeaturestoreMonitoringConfig) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_rawDescGZIP(), []int{0} |
| } |
| |
| func (x *FeaturestoreMonitoringConfig) GetSnapshotAnalysis() *FeaturestoreMonitoringConfig_SnapshotAnalysis { |
| if x != nil { |
| return x.SnapshotAnalysis |
| } |
| return nil |
| } |
| |
| func (x *FeaturestoreMonitoringConfig) GetImportFeaturesAnalysis() *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis { |
| if x != nil { |
| return x.ImportFeaturesAnalysis |
| } |
| return nil |
| } |
| |
| func (x *FeaturestoreMonitoringConfig) GetNumericalThresholdConfig() *FeaturestoreMonitoringConfig_ThresholdConfig { |
| if x != nil { |
| return x.NumericalThresholdConfig |
| } |
| return nil |
| } |
| |
| func (x *FeaturestoreMonitoringConfig) GetCategoricalThresholdConfig() *FeaturestoreMonitoringConfig_ThresholdConfig { |
| if x != nil { |
| return x.CategoricalThresholdConfig |
| } |
| return nil |
| } |
| |
| // Configuration of the Featurestore's Snapshot Analysis Based Monitoring. |
| // This type of analysis generates statistics for each Feature based on a |
| // snapshot of the latest feature value of each entities every |
| // monitoring_interval. |
| type FeaturestoreMonitoringConfig_SnapshotAnalysis struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The monitoring schedule for snapshot analysis. |
| // For EntityType-level config: |
| // |
| // unset / disabled = true indicates disabled by |
| // default for Features under it; otherwise by default enable snapshot |
| // analysis monitoring with monitoring_interval for Features under it. |
| // |
| // Feature-level config: |
| // |
| // disabled = true indicates disabled regardless of the EntityType-level |
| // config; unset monitoring_interval indicates going with EntityType-level |
| // config; otherwise run snapshot analysis monitoring with |
| // monitoring_interval regardless of the EntityType-level config. |
| // |
| // Explicitly Disable the snapshot analysis based monitoring. |
| Disabled bool `protobuf:"varint,1,opt,name=disabled,proto3" json:"disabled,omitempty"` |
| // Configuration of the snapshot analysis based monitoring pipeline |
| // running interval. The value indicates number of days. |
| MonitoringIntervalDays int32 `protobuf:"varint,3,opt,name=monitoring_interval_days,json=monitoringIntervalDays,proto3" json:"monitoring_interval_days,omitempty"` |
| // Customized export features time window for snapshot analysis. Unit is one |
| // day. Default value is 3 weeks. Minimum value is 1 day. Maximum value is |
| // 4000 days. |
| StalenessDays int32 `protobuf:"varint,4,opt,name=staleness_days,json=stalenessDays,proto3" json:"staleness_days,omitempty"` |
| } |
| |
| func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) Reset() { |
| *x = FeaturestoreMonitoringConfig_SnapshotAnalysis{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_msgTypes[1] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) ProtoMessage() {} |
| |
| func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_msgTypes[1] |
| if protoimpl.UnsafeEnabled && x != nil { |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| if ms.LoadMessageInfo() == nil { |
| ms.StoreMessageInfo(mi) |
| } |
| return ms |
| } |
| return mi.MessageOf(x) |
| } |
| |
| // Deprecated: Use FeaturestoreMonitoringConfig_SnapshotAnalysis.ProtoReflect.Descriptor instead. |
| func (*FeaturestoreMonitoringConfig_SnapshotAnalysis) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_rawDescGZIP(), []int{0, 0} |
| } |
| |
| func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) GetDisabled() bool { |
| if x != nil { |
| return x.Disabled |
| } |
| return false |
| } |
| |
| func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) GetMonitoringIntervalDays() int32 { |
| if x != nil { |
| return x.MonitoringIntervalDays |
| } |
| return 0 |
| } |
| |
| func (x *FeaturestoreMonitoringConfig_SnapshotAnalysis) GetStalenessDays() int32 { |
| if x != nil { |
| return x.StalenessDays |
| } |
| return 0 |
| } |
| |
| // Configuration of the Featurestore's ImportFeature Analysis Based |
| // Monitoring. This type of analysis generates statistics for values of each |
| // Feature imported by every |
| // [ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues] |
| // operation. |
| type FeaturestoreMonitoringConfig_ImportFeaturesAnalysis struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Whether to enable / disable / inherite default hebavior for import |
| // features analysis. |
| State FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State `protobuf:"varint,1,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State" json:"state,omitempty"` |
| // The baseline used to do anomaly detection for the statistics generated by |
| // import features analysis. |
| AnomalyDetectionBaseline FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline `protobuf:"varint,2,opt,name=anomaly_detection_baseline,json=anomalyDetectionBaseline,proto3,enum=google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline" json:"anomaly_detection_baseline,omitempty"` |
| } |
| |
| func (x *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) Reset() { |
| *x = FeaturestoreMonitoringConfig_ImportFeaturesAnalysis{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_msgTypes[2] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) ProtoMessage() {} |
| |
| func (x *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_msgTypes[2] |
| 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 FeaturestoreMonitoringConfig_ImportFeaturesAnalysis.ProtoReflect.Descriptor instead. |
| func (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_rawDescGZIP(), []int{0, 1} |
| } |
| |
| func (x *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) GetState() FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State { |
| if x != nil { |
| return x.State |
| } |
| return FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_STATE_UNSPECIFIED |
| } |
| |
| func (x *FeaturestoreMonitoringConfig_ImportFeaturesAnalysis) GetAnomalyDetectionBaseline() FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline { |
| if x != nil { |
| return x.AnomalyDetectionBaseline |
| } |
| return FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_BASELINE_UNSPECIFIED |
| } |
| |
| // The config for Featurestore Monitoring threshold. |
| type FeaturestoreMonitoringConfig_ThresholdConfig struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Types that are assignable to Threshold: |
| // |
| // *FeaturestoreMonitoringConfig_ThresholdConfig_Value |
| Threshold isFeaturestoreMonitoringConfig_ThresholdConfig_Threshold `protobuf_oneof:"threshold"` |
| } |
| |
| func (x *FeaturestoreMonitoringConfig_ThresholdConfig) Reset() { |
| *x = FeaturestoreMonitoringConfig_ThresholdConfig{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_msgTypes[3] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *FeaturestoreMonitoringConfig_ThresholdConfig) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*FeaturestoreMonitoringConfig_ThresholdConfig) ProtoMessage() {} |
| |
| func (x *FeaturestoreMonitoringConfig_ThresholdConfig) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_msgTypes[3] |
| 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 FeaturestoreMonitoringConfig_ThresholdConfig.ProtoReflect.Descriptor instead. |
| func (*FeaturestoreMonitoringConfig_ThresholdConfig) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_rawDescGZIP(), []int{0, 2} |
| } |
| |
| func (m *FeaturestoreMonitoringConfig_ThresholdConfig) GetThreshold() isFeaturestoreMonitoringConfig_ThresholdConfig_Threshold { |
| if m != nil { |
| return m.Threshold |
| } |
| return nil |
| } |
| |
| func (x *FeaturestoreMonitoringConfig_ThresholdConfig) GetValue() float64 { |
| if x, ok := x.GetThreshold().(*FeaturestoreMonitoringConfig_ThresholdConfig_Value); ok { |
| return x.Value |
| } |
| return 0 |
| } |
| |
| type isFeaturestoreMonitoringConfig_ThresholdConfig_Threshold interface { |
| isFeaturestoreMonitoringConfig_ThresholdConfig_Threshold() |
| } |
| |
| type FeaturestoreMonitoringConfig_ThresholdConfig_Value struct { |
| // Specify a threshold value that can trigger the alert. |
| // 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. Each feature must have a non-zero threshold |
| // if they need to be monitored. Otherwise no alert will be triggered for |
| // that feature. |
| Value float64 `protobuf:"fixed64,1,opt,name=value,proto3,oneof"` |
| } |
| |
| func (*FeaturestoreMonitoringConfig_ThresholdConfig_Value) isFeaturestoreMonitoringConfig_ThresholdConfig_Threshold() { |
| } |
| |
| var File_google_cloud_aiplatform_v1_featurestore_monitoring_proto protoreflect.FileDescriptor |
| |
| var file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_rawDesc = []byte{ |
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| } |
| |
| var ( |
| file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_rawDescOnce sync.Once |
| file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_rawDescData = file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_rawDesc |
| ) |
| |
| func file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_rawDescGZIP() []byte { |
| file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_rawDescOnce.Do(func() { |
| file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_rawDescData) |
| }) |
| return file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_rawDescData |
| } |
| |
| var file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_enumTypes = make([]protoimpl.EnumInfo, 2) |
| var file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_msgTypes = make([]protoimpl.MessageInfo, 4) |
| var file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_goTypes = []interface{}{ |
| (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_State)(0), // 0: google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.State |
| (FeaturestoreMonitoringConfig_ImportFeaturesAnalysis_Baseline)(0), // 1: google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Baseline |
| (*FeaturestoreMonitoringConfig)(nil), // 2: google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig |
| (*FeaturestoreMonitoringConfig_SnapshotAnalysis)(nil), // 3: google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis |
| (*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis)(nil), // 4: google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis |
| (*FeaturestoreMonitoringConfig_ThresholdConfig)(nil), // 5: google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig |
| } |
| var file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_depIdxs = []int32{ |
| 3, // 0: google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.snapshot_analysis:type_name -> google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis |
| 4, // 1: google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.import_features_analysis:type_name -> google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis |
| 5, // 2: google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.numerical_threshold_config:type_name -> google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig |
| 5, // 3: google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.categorical_threshold_config:type_name -> google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig |
| 0, // 4: google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.state:type_name -> google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.State |
| 1, // 5: google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.anomaly_detection_baseline:type_name -> google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis.Baseline |
| 6, // [6:6] is the sub-list for method output_type |
| 6, // [6:6] is the sub-list for method input_type |
| 6, // [6:6] is the sub-list for extension type_name |
| 6, // [6:6] is the sub-list for extension extendee |
| 0, // [0:6] is the sub-list for field type_name |
| } |
| |
| func init() { file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_init() } |
| func file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_init() { |
| if File_google_cloud_aiplatform_v1_featurestore_monitoring_proto != nil { |
| return |
| } |
| if !protoimpl.UnsafeEnabled { |
| file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*FeaturestoreMonitoringConfig); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*FeaturestoreMonitoringConfig_SnapshotAnalysis); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*FeaturestoreMonitoringConfig_ImportFeaturesAnalysis); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*FeaturestoreMonitoringConfig_ThresholdConfig); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| } |
| file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_msgTypes[3].OneofWrappers = []interface{}{ |
| (*FeaturestoreMonitoringConfig_ThresholdConfig_Value)(nil), |
| } |
| type x struct{} |
| out := protoimpl.TypeBuilder{ |
| File: protoimpl.DescBuilder{ |
| GoPackagePath: reflect.TypeOf(x{}).PkgPath(), |
| RawDescriptor: file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_rawDesc, |
| NumEnums: 2, |
| NumMessages: 4, |
| NumExtensions: 0, |
| NumServices: 0, |
| }, |
| GoTypes: file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_goTypes, |
| DependencyIndexes: file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_depIdxs, |
| EnumInfos: file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_enumTypes, |
| MessageInfos: file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_msgTypes, |
| }.Build() |
| File_google_cloud_aiplatform_v1_featurestore_monitoring_proto = out.File |
| file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_rawDesc = nil |
| file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_goTypes = nil |
| file_google_cloud_aiplatform_v1_featurestore_monitoring_proto_depIdxs = nil |
| } |
