| // Copyright 2024 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/v1beta1/model_monitoring_stats.proto |
| |
| package aiplatformpb |
| |
| import ( |
| reflect "reflect" |
| sync "sync" |
| |
| protoreflect "google.golang.org/protobuf/reflect/protoreflect" |
| protoimpl "google.golang.org/protobuf/runtime/protoimpl" |
| structpb "google.golang.org/protobuf/types/known/structpb" |
| 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) |
| ) |
| |
| // Represents the collection of statistics for a metric. |
| type ModelMonitoringStats struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Types that are assignable to Stats: |
| // |
| // *ModelMonitoringStats_TabularStats |
| Stats isModelMonitoringStats_Stats `protobuf_oneof:"stats"` |
| } |
| |
| func (x *ModelMonitoringStats) Reset() { |
| *x = ModelMonitoringStats{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_msgTypes[0] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ModelMonitoringStats) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ModelMonitoringStats) ProtoMessage() {} |
| |
| func (x *ModelMonitoringStats) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_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 ModelMonitoringStats.ProtoReflect.Descriptor instead. |
| func (*ModelMonitoringStats) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_rawDescGZIP(), []int{0} |
| } |
| |
| func (m *ModelMonitoringStats) GetStats() isModelMonitoringStats_Stats { |
| if m != nil { |
| return m.Stats |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringStats) GetTabularStats() *ModelMonitoringTabularStats { |
| if x, ok := x.GetStats().(*ModelMonitoringStats_TabularStats); ok { |
| return x.TabularStats |
| } |
| return nil |
| } |
| |
| type isModelMonitoringStats_Stats interface { |
| isModelMonitoringStats_Stats() |
| } |
| |
| type ModelMonitoringStats_TabularStats struct { |
| // Generated tabular statistics. |
| TabularStats *ModelMonitoringTabularStats `protobuf:"bytes,1,opt,name=tabular_stats,json=tabularStats,proto3,oneof"` |
| } |
| |
| func (*ModelMonitoringStats_TabularStats) isModelMonitoringStats_Stats() {} |
| |
| // Represents a single statistics data point. |
| type ModelMonitoringStatsDataPoint struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Statistics from current dataset. |
| CurrentStats *ModelMonitoringStatsDataPoint_TypedValue `protobuf:"bytes,1,opt,name=current_stats,json=currentStats,proto3" json:"current_stats,omitempty"` |
| // Statistics from baseline dataset. |
| BaselineStats *ModelMonitoringStatsDataPoint_TypedValue `protobuf:"bytes,2,opt,name=baseline_stats,json=baselineStats,proto3" json:"baseline_stats,omitempty"` |
| // Threshold value. |
| ThresholdValue float64 `protobuf:"fixed64,3,opt,name=threshold_value,json=thresholdValue,proto3" json:"threshold_value,omitempty"` |
| // Indicate if the statistics has anomaly. |
| HasAnomaly bool `protobuf:"varint,4,opt,name=has_anomaly,json=hasAnomaly,proto3" json:"has_anomaly,omitempty"` |
| // Model monitoring job resource name. |
| ModelMonitoringJob string `protobuf:"bytes,5,opt,name=model_monitoring_job,json=modelMonitoringJob,proto3" json:"model_monitoring_job,omitempty"` |
| // Schedule resource name. |
| Schedule string `protobuf:"bytes,6,opt,name=schedule,proto3" json:"schedule,omitempty"` |
| // Statistics create time. |
| CreateTime *timestamppb.Timestamp `protobuf:"bytes,7,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"` |
| // Algorithm used to calculated the metrics, eg: jensen_shannon_divergence, |
| // l_infinity. |
| Algorithm string `protobuf:"bytes,8,opt,name=algorithm,proto3" json:"algorithm,omitempty"` |
| } |
| |
| func (x *ModelMonitoringStatsDataPoint) Reset() { |
| *x = ModelMonitoringStatsDataPoint{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_msgTypes[1] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ModelMonitoringStatsDataPoint) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ModelMonitoringStatsDataPoint) ProtoMessage() {} |
| |
| func (x *ModelMonitoringStatsDataPoint) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_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 ModelMonitoringStatsDataPoint.ProtoReflect.Descriptor instead. |
| func (*ModelMonitoringStatsDataPoint) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_rawDescGZIP(), []int{1} |
| } |
| |
| func (x *ModelMonitoringStatsDataPoint) GetCurrentStats() *ModelMonitoringStatsDataPoint_TypedValue { |
| if x != nil { |
| return x.CurrentStats |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringStatsDataPoint) GetBaselineStats() *ModelMonitoringStatsDataPoint_TypedValue { |
| if x != nil { |
| return x.BaselineStats |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringStatsDataPoint) GetThresholdValue() float64 { |
| if x != nil { |
| return x.ThresholdValue |
| } |
| return 0 |
| } |
| |
| func (x *ModelMonitoringStatsDataPoint) GetHasAnomaly() bool { |
| if x != nil { |
| return x.HasAnomaly |
| } |
| return false |
| } |
| |
| func (x *ModelMonitoringStatsDataPoint) GetModelMonitoringJob() string { |
| if x != nil { |
| return x.ModelMonitoringJob |
| } |
| return "" |
| } |
| |
| func (x *ModelMonitoringStatsDataPoint) GetSchedule() string { |
| if x != nil { |
| return x.Schedule |
| } |
| return "" |
| } |
| |
| func (x *ModelMonitoringStatsDataPoint) GetCreateTime() *timestamppb.Timestamp { |
| if x != nil { |
| return x.CreateTime |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringStatsDataPoint) GetAlgorithm() string { |
| if x != nil { |
| return x.Algorithm |
| } |
| return "" |
| } |
| |
| // A collection of data points that describes the time-varying values of a |
| // tabular metric. |
| type ModelMonitoringTabularStats struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The stats name. |
| StatsName string `protobuf:"bytes,1,opt,name=stats_name,json=statsName,proto3" json:"stats_name,omitempty"` |
| // One of the supported monitoring objectives: |
| // `raw-feature-drift` |
| // `prediction-output-drift` |
| // `feature-attribution` |
| ObjectiveType string `protobuf:"bytes,2,opt,name=objective_type,json=objectiveType,proto3" json:"objective_type,omitempty"` |
| // The data points of this time series. When listing time series, points are |
| // returned in reverse time order. |
| DataPoints []*ModelMonitoringStatsDataPoint `protobuf:"bytes,3,rep,name=data_points,json=dataPoints,proto3" json:"data_points,omitempty"` |
| } |
| |
| func (x *ModelMonitoringTabularStats) Reset() { |
| *x = ModelMonitoringTabularStats{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_msgTypes[2] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ModelMonitoringTabularStats) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ModelMonitoringTabularStats) ProtoMessage() {} |
| |
| func (x *ModelMonitoringTabularStats) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_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 ModelMonitoringTabularStats.ProtoReflect.Descriptor instead. |
| func (*ModelMonitoringTabularStats) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_rawDescGZIP(), []int{2} |
| } |
| |
| func (x *ModelMonitoringTabularStats) GetStatsName() string { |
| if x != nil { |
| return x.StatsName |
| } |
| return "" |
| } |
| |
| func (x *ModelMonitoringTabularStats) GetObjectiveType() string { |
| if x != nil { |
| return x.ObjectiveType |
| } |
| return "" |
| } |
| |
| func (x *ModelMonitoringTabularStats) GetDataPoints() []*ModelMonitoringStatsDataPoint { |
| if x != nil { |
| return x.DataPoints |
| } |
| return nil |
| } |
| |
| // Filter for searching ModelMonitoringStats. |
| type SearchModelMonitoringStatsFilter struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // Types that are assignable to Filter: |
| // |
| // *SearchModelMonitoringStatsFilter_TabularStatsFilter_ |
| Filter isSearchModelMonitoringStatsFilter_Filter `protobuf_oneof:"filter"` |
| } |
| |
| func (x *SearchModelMonitoringStatsFilter) Reset() { |
| *x = SearchModelMonitoringStatsFilter{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_msgTypes[3] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *SearchModelMonitoringStatsFilter) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*SearchModelMonitoringStatsFilter) ProtoMessage() {} |
| |
| func (x *SearchModelMonitoringStatsFilter) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_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 SearchModelMonitoringStatsFilter.ProtoReflect.Descriptor instead. |
| func (*SearchModelMonitoringStatsFilter) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_rawDescGZIP(), []int{3} |
| } |
| |
| func (m *SearchModelMonitoringStatsFilter) GetFilter() isSearchModelMonitoringStatsFilter_Filter { |
| if m != nil { |
| return m.Filter |
| } |
| return nil |
| } |
| |
| func (x *SearchModelMonitoringStatsFilter) GetTabularStatsFilter() *SearchModelMonitoringStatsFilter_TabularStatsFilter { |
| if x, ok := x.GetFilter().(*SearchModelMonitoringStatsFilter_TabularStatsFilter_); ok { |
| return x.TabularStatsFilter |
| } |
| return nil |
| } |
| |
| type isSearchModelMonitoringStatsFilter_Filter interface { |
| isSearchModelMonitoringStatsFilter_Filter() |
| } |
| |
| type SearchModelMonitoringStatsFilter_TabularStatsFilter_ struct { |
| // Tabular statistics filter. |
| TabularStatsFilter *SearchModelMonitoringStatsFilter_TabularStatsFilter `protobuf:"bytes,1,opt,name=tabular_stats_filter,json=tabularStatsFilter,proto3,oneof"` |
| } |
| |
| func (*SearchModelMonitoringStatsFilter_TabularStatsFilter_) isSearchModelMonitoringStatsFilter_Filter() { |
| } |
| |
| // Typed value of the statistics. |
| type ModelMonitoringStatsDataPoint_TypedValue struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // The typed value. |
| // |
| // Types that are assignable to Value: |
| // |
| // *ModelMonitoringStatsDataPoint_TypedValue_DoubleValue |
| // *ModelMonitoringStatsDataPoint_TypedValue_DistributionValue |
| Value isModelMonitoringStatsDataPoint_TypedValue_Value `protobuf_oneof:"value"` |
| } |
| |
| func (x *ModelMonitoringStatsDataPoint_TypedValue) Reset() { |
| *x = ModelMonitoringStatsDataPoint_TypedValue{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_msgTypes[4] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ModelMonitoringStatsDataPoint_TypedValue) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ModelMonitoringStatsDataPoint_TypedValue) ProtoMessage() {} |
| |
| func (x *ModelMonitoringStatsDataPoint_TypedValue) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_msgTypes[4] |
| 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 ModelMonitoringStatsDataPoint_TypedValue.ProtoReflect.Descriptor instead. |
| func (*ModelMonitoringStatsDataPoint_TypedValue) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_rawDescGZIP(), []int{1, 0} |
| } |
| |
| func (m *ModelMonitoringStatsDataPoint_TypedValue) GetValue() isModelMonitoringStatsDataPoint_TypedValue_Value { |
| if m != nil { |
| return m.Value |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringStatsDataPoint_TypedValue) GetDoubleValue() float64 { |
| if x, ok := x.GetValue().(*ModelMonitoringStatsDataPoint_TypedValue_DoubleValue); ok { |
| return x.DoubleValue |
| } |
| return 0 |
| } |
| |
| func (x *ModelMonitoringStatsDataPoint_TypedValue) GetDistributionValue() *ModelMonitoringStatsDataPoint_TypedValue_DistributionDataValue { |
| if x, ok := x.GetValue().(*ModelMonitoringStatsDataPoint_TypedValue_DistributionValue); ok { |
| return x.DistributionValue |
| } |
| return nil |
| } |
| |
| type isModelMonitoringStatsDataPoint_TypedValue_Value interface { |
| isModelMonitoringStatsDataPoint_TypedValue_Value() |
| } |
| |
| type ModelMonitoringStatsDataPoint_TypedValue_DoubleValue struct { |
| // Double. |
| DoubleValue float64 `protobuf:"fixed64,1,opt,name=double_value,json=doubleValue,proto3,oneof"` |
| } |
| |
| type ModelMonitoringStatsDataPoint_TypedValue_DistributionValue struct { |
| // Distribution. |
| DistributionValue *ModelMonitoringStatsDataPoint_TypedValue_DistributionDataValue `protobuf:"bytes,2,opt,name=distribution_value,json=distributionValue,proto3,oneof"` |
| } |
| |
| func (*ModelMonitoringStatsDataPoint_TypedValue_DoubleValue) isModelMonitoringStatsDataPoint_TypedValue_Value() { |
| } |
| |
| func (*ModelMonitoringStatsDataPoint_TypedValue_DistributionValue) isModelMonitoringStatsDataPoint_TypedValue_Value() { |
| } |
| |
| // Summary statistics for a population of values. |
| type ModelMonitoringStatsDataPoint_TypedValue_DistributionDataValue struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // tensorflow.metadata.v0.DatasetFeatureStatistics format. |
| Distribution *structpb.Value `protobuf:"bytes,1,opt,name=distribution,proto3" json:"distribution,omitempty"` |
| // Distribution distance deviation from the current dataset's statistics |
| // to baseline dataset's statistics. |
| // - For categorical feature, the distribution distance is calculated |
| // by L-inifinity norm or Jensen–Shannon divergence. |
| // - For numerical feature, the distribution distance is calculated by |
| // Jensen–Shannon divergence. |
| DistributionDeviation float64 `protobuf:"fixed64,2,opt,name=distribution_deviation,json=distributionDeviation,proto3" json:"distribution_deviation,omitempty"` |
| } |
| |
| func (x *ModelMonitoringStatsDataPoint_TypedValue_DistributionDataValue) Reset() { |
| *x = ModelMonitoringStatsDataPoint_TypedValue_DistributionDataValue{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_msgTypes[5] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *ModelMonitoringStatsDataPoint_TypedValue_DistributionDataValue) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*ModelMonitoringStatsDataPoint_TypedValue_DistributionDataValue) ProtoMessage() {} |
| |
| func (x *ModelMonitoringStatsDataPoint_TypedValue_DistributionDataValue) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_msgTypes[5] |
| 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 ModelMonitoringStatsDataPoint_TypedValue_DistributionDataValue.ProtoReflect.Descriptor instead. |
| func (*ModelMonitoringStatsDataPoint_TypedValue_DistributionDataValue) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_rawDescGZIP(), []int{1, 0, 0} |
| } |
| |
| func (x *ModelMonitoringStatsDataPoint_TypedValue_DistributionDataValue) GetDistribution() *structpb.Value { |
| if x != nil { |
| return x.Distribution |
| } |
| return nil |
| } |
| |
| func (x *ModelMonitoringStatsDataPoint_TypedValue_DistributionDataValue) GetDistributionDeviation() float64 { |
| if x != nil { |
| return x.DistributionDeviation |
| } |
| return 0 |
| } |
| |
| // Tabular statistics filter. |
| type SearchModelMonitoringStatsFilter_TabularStatsFilter struct { |
| state protoimpl.MessageState |
| sizeCache protoimpl.SizeCache |
| unknownFields protoimpl.UnknownFields |
| |
| // If not specified, will return all the stats_names. |
| StatsName string `protobuf:"bytes,1,opt,name=stats_name,json=statsName,proto3" json:"stats_name,omitempty"` |
| // One of the supported monitoring objectives: |
| // `raw-feature-drift` |
| // `prediction-output-drift` |
| // `feature-attribution` |
| ObjectiveType string `protobuf:"bytes,2,opt,name=objective_type,json=objectiveType,proto3" json:"objective_type,omitempty"` |
| // From a particular monitoring job. |
| ModelMonitoringJob string `protobuf:"bytes,3,opt,name=model_monitoring_job,json=modelMonitoringJob,proto3" json:"model_monitoring_job,omitempty"` |
| // From a particular monitoring schedule. |
| ModelMonitoringSchedule string `protobuf:"bytes,4,opt,name=model_monitoring_schedule,json=modelMonitoringSchedule,proto3" json:"model_monitoring_schedule,omitempty"` |
| // Specify the algorithm type used for distance calculation, eg: |
| // jensen_shannon_divergence, l_infinity. |
| Algorithm string `protobuf:"bytes,5,opt,name=algorithm,proto3" json:"algorithm,omitempty"` |
| } |
| |
| func (x *SearchModelMonitoringStatsFilter_TabularStatsFilter) Reset() { |
| *x = SearchModelMonitoringStatsFilter_TabularStatsFilter{} |
| if protoimpl.UnsafeEnabled { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_msgTypes[6] |
| ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x)) |
| ms.StoreMessageInfo(mi) |
| } |
| } |
| |
| func (x *SearchModelMonitoringStatsFilter_TabularStatsFilter) String() string { |
| return protoimpl.X.MessageStringOf(x) |
| } |
| |
| func (*SearchModelMonitoringStatsFilter_TabularStatsFilter) ProtoMessage() {} |
| |
| func (x *SearchModelMonitoringStatsFilter_TabularStatsFilter) ProtoReflect() protoreflect.Message { |
| mi := &file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_msgTypes[6] |
| 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 SearchModelMonitoringStatsFilter_TabularStatsFilter.ProtoReflect.Descriptor instead. |
| func (*SearchModelMonitoringStatsFilter_TabularStatsFilter) Descriptor() ([]byte, []int) { |
| return file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_rawDescGZIP(), []int{3, 0} |
| } |
| |
| func (x *SearchModelMonitoringStatsFilter_TabularStatsFilter) GetStatsName() string { |
| if x != nil { |
| return x.StatsName |
| } |
| return "" |
| } |
| |
| func (x *SearchModelMonitoringStatsFilter_TabularStatsFilter) GetObjectiveType() string { |
| if x != nil { |
| return x.ObjectiveType |
| } |
| return "" |
| } |
| |
| func (x *SearchModelMonitoringStatsFilter_TabularStatsFilter) GetModelMonitoringJob() string { |
| if x != nil { |
| return x.ModelMonitoringJob |
| } |
| return "" |
| } |
| |
| func (x *SearchModelMonitoringStatsFilter_TabularStatsFilter) GetModelMonitoringSchedule() string { |
| if x != nil { |
| return x.ModelMonitoringSchedule |
| } |
| return "" |
| } |
| |
| func (x *SearchModelMonitoringStatsFilter_TabularStatsFilter) GetAlgorithm() string { |
| if x != nil { |
| return x.Algorithm |
| } |
| return "" |
| } |
| |
| var File_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto protoreflect.FileDescriptor |
| |
| var file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_rawDesc = []byte{ |
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| } |
| |
| var ( |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_rawDescOnce sync.Once |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_rawDescData = file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_rawDesc |
| ) |
| |
| func file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_rawDescGZIP() []byte { |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_rawDescOnce.Do(func() { |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_rawDescData) |
| }) |
| return file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_rawDescData |
| } |
| |
| var file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_msgTypes = make([]protoimpl.MessageInfo, 7) |
| var file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_goTypes = []interface{}{ |
| (*ModelMonitoringStats)(nil), // 0: google.cloud.aiplatform.v1beta1.ModelMonitoringStats |
| (*ModelMonitoringStatsDataPoint)(nil), // 1: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint |
| (*ModelMonitoringTabularStats)(nil), // 2: google.cloud.aiplatform.v1beta1.ModelMonitoringTabularStats |
| (*SearchModelMonitoringStatsFilter)(nil), // 3: google.cloud.aiplatform.v1beta1.SearchModelMonitoringStatsFilter |
| (*ModelMonitoringStatsDataPoint_TypedValue)(nil), // 4: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue |
| (*ModelMonitoringStatsDataPoint_TypedValue_DistributionDataValue)(nil), // 5: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue |
| (*SearchModelMonitoringStatsFilter_TabularStatsFilter)(nil), // 6: google.cloud.aiplatform.v1beta1.SearchModelMonitoringStatsFilter.TabularStatsFilter |
| (*timestamppb.Timestamp)(nil), // 7: google.protobuf.Timestamp |
| (*structpb.Value)(nil), // 8: google.protobuf.Value |
| } |
| var file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_depIdxs = []int32{ |
| 2, // 0: google.cloud.aiplatform.v1beta1.ModelMonitoringStats.tabular_stats:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringTabularStats |
| 4, // 1: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.current_stats:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue |
| 4, // 2: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.baseline_stats:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue |
| 7, // 3: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.create_time:type_name -> google.protobuf.Timestamp |
| 1, // 4: google.cloud.aiplatform.v1beta1.ModelMonitoringTabularStats.data_points:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint |
| 6, // 5: google.cloud.aiplatform.v1beta1.SearchModelMonitoringStatsFilter.tabular_stats_filter:type_name -> google.cloud.aiplatform.v1beta1.SearchModelMonitoringStatsFilter.TabularStatsFilter |
| 5, // 6: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue.distribution_value:type_name -> google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue |
| 8, // 7: google.cloud.aiplatform.v1beta1.ModelMonitoringStatsDataPoint.TypedValue.DistributionDataValue.distribution:type_name -> google.protobuf.Value |
| 8, // [8:8] is the sub-list for method output_type |
| 8, // [8:8] is the sub-list for method input_type |
| 8, // [8:8] is the sub-list for extension type_name |
| 8, // [8:8] is the sub-list for extension extendee |
| 0, // [0:8] is the sub-list for field type_name |
| } |
| |
| func init() { file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_init() } |
| func file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_init() { |
| if File_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto != nil { |
| return |
| } |
| if !protoimpl.UnsafeEnabled { |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ModelMonitoringStats); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ModelMonitoringStatsDataPoint); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ModelMonitoringTabularStats); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*SearchModelMonitoringStatsFilter); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ModelMonitoringStatsDataPoint_TypedValue); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_msgTypes[5].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*ModelMonitoringStatsDataPoint_TypedValue_DistributionDataValue); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_msgTypes[6].Exporter = func(v interface{}, i int) interface{} { |
| switch v := v.(*SearchModelMonitoringStatsFilter_TabularStatsFilter); i { |
| case 0: |
| return &v.state |
| case 1: |
| return &v.sizeCache |
| case 2: |
| return &v.unknownFields |
| default: |
| return nil |
| } |
| } |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_msgTypes[0].OneofWrappers = []interface{}{ |
| (*ModelMonitoringStats_TabularStats)(nil), |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_msgTypes[3].OneofWrappers = []interface{}{ |
| (*SearchModelMonitoringStatsFilter_TabularStatsFilter_)(nil), |
| } |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_msgTypes[4].OneofWrappers = []interface{}{ |
| (*ModelMonitoringStatsDataPoint_TypedValue_DoubleValue)(nil), |
| (*ModelMonitoringStatsDataPoint_TypedValue_DistributionValue)(nil), |
| } |
| type x struct{} |
| out := protoimpl.TypeBuilder{ |
| File: protoimpl.DescBuilder{ |
| GoPackagePath: reflect.TypeOf(x{}).PkgPath(), |
| RawDescriptor: file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_rawDesc, |
| NumEnums: 0, |
| NumMessages: 7, |
| NumExtensions: 0, |
| NumServices: 0, |
| }, |
| GoTypes: file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_goTypes, |
| DependencyIndexes: file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_depIdxs, |
| MessageInfos: file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_msgTypes, |
| }.Build() |
| File_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto = out.File |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_rawDesc = nil |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_goTypes = nil |
| file_google_cloud_aiplatform_v1beta1_model_monitoring_stats_proto_depIdxs = nil |
| } |
