public static final class ModelMonitoringConfig.Builder extends com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringConfig.Builder> implements ModelMonitoringConfigOrBuilder
The model monitoring configuration used for Batch Prediction Job.Protobuf type
google.cloud.aiplatform.v1beta1.ModelMonitoringConfig| Modifier and Type | Method and Description |
|---|---|
ModelMonitoringConfig.Builder |
addAllObjectiveConfigs(Iterable<? extends ModelMonitoringObjectiveConfig> values)
Model monitoring objective config.
|
ModelMonitoringConfig.Builder |
addObjectiveConfigs(int index,
ModelMonitoringObjectiveConfig.Builder builderForValue)
Model monitoring objective config.
|
ModelMonitoringConfig.Builder |
addObjectiveConfigs(int index,
ModelMonitoringObjectiveConfig value)
Model monitoring objective config.
|
ModelMonitoringConfig.Builder |
addObjectiveConfigs(ModelMonitoringObjectiveConfig.Builder builderForValue)
Model monitoring objective config.
|
ModelMonitoringConfig.Builder |
addObjectiveConfigs(ModelMonitoringObjectiveConfig value)
Model monitoring objective config.
|
ModelMonitoringObjectiveConfig.Builder |
addObjectiveConfigsBuilder()
Model monitoring objective config.
|
ModelMonitoringObjectiveConfig.Builder |
addObjectiveConfigsBuilder(int index)
Model monitoring objective config.
|
ModelMonitoringConfig.Builder |
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value) |
ModelMonitoringConfig |
build() |
ModelMonitoringConfig |
buildPartial() |
ModelMonitoringConfig.Builder |
clear() |
ModelMonitoringConfig.Builder |
clearAlertConfig()
Model monitoring alert config.
|
ModelMonitoringConfig.Builder |
clearAnalysisInstanceSchemaUri()
YAML schema file uri in Cloud Storage describing the format of a single
instance that you want Tensorflow Data Validation (TFDV) to analyze.
|
ModelMonitoringConfig.Builder |
clearField(com.google.protobuf.Descriptors.FieldDescriptor field) |
ModelMonitoringConfig.Builder |
clearObjectiveConfigs()
Model monitoring objective config.
|
ModelMonitoringConfig.Builder |
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) |
ModelMonitoringConfig.Builder |
clearStatsAnomaliesBaseDirectory()
A Google Cloud Storage location for batch prediction model monitoring to
dump statistics and anomalies.
|
ModelMonitoringConfig.Builder |
clone() |
ModelMonitoringAlertConfig |
getAlertConfig()
Model monitoring alert config.
|
ModelMonitoringAlertConfig.Builder |
getAlertConfigBuilder()
Model monitoring alert config.
|
ModelMonitoringAlertConfigOrBuilder |
getAlertConfigOrBuilder()
Model monitoring alert config.
|
String |
getAnalysisInstanceSchemaUri()
YAML schema file uri in Cloud Storage describing the format of a single
instance that you want Tensorflow Data Validation (TFDV) to analyze.
|
com.google.protobuf.ByteString |
getAnalysisInstanceSchemaUriBytes()
YAML schema file uri in Cloud Storage describing the format of a single
instance that you want Tensorflow Data Validation (TFDV) to analyze.
|
ModelMonitoringConfig |
getDefaultInstanceForType() |
static com.google.protobuf.Descriptors.Descriptor |
getDescriptor() |
com.google.protobuf.Descriptors.Descriptor |
getDescriptorForType() |
ModelMonitoringObjectiveConfig |
getObjectiveConfigs(int index)
Model monitoring objective config.
|
ModelMonitoringObjectiveConfig.Builder |
getObjectiveConfigsBuilder(int index)
Model monitoring objective config.
|
List<ModelMonitoringObjectiveConfig.Builder> |
getObjectiveConfigsBuilderList()
Model monitoring objective config.
|
int |
getObjectiveConfigsCount()
Model monitoring objective config.
|
List<ModelMonitoringObjectiveConfig> |
getObjectiveConfigsList()
Model monitoring objective config.
|
ModelMonitoringObjectiveConfigOrBuilder |
getObjectiveConfigsOrBuilder(int index)
Model monitoring objective config.
|
List<? extends ModelMonitoringObjectiveConfigOrBuilder> |
getObjectiveConfigsOrBuilderList()
Model monitoring objective config.
|
GcsDestination |
getStatsAnomaliesBaseDirectory()
A Google Cloud Storage location for batch prediction model monitoring to
dump statistics and anomalies.
|
GcsDestination.Builder |
getStatsAnomaliesBaseDirectoryBuilder()
A Google Cloud Storage location for batch prediction model monitoring to
dump statistics and anomalies.
|
GcsDestinationOrBuilder |
getStatsAnomaliesBaseDirectoryOrBuilder()
A Google Cloud Storage location for batch prediction model monitoring to
dump statistics and anomalies.
|
boolean |
hasAlertConfig()
Model monitoring alert config.
|
boolean |
hasStatsAnomaliesBaseDirectory()
A Google Cloud Storage location for batch prediction model monitoring to
dump statistics and anomalies.
|
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable |
internalGetFieldAccessorTable() |
boolean |
isInitialized() |
ModelMonitoringConfig.Builder |
mergeAlertConfig(ModelMonitoringAlertConfig value)
Model monitoring alert config.
|
ModelMonitoringConfig.Builder |
mergeFrom(com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
ModelMonitoringConfig.Builder |
mergeFrom(com.google.protobuf.Message other) |
ModelMonitoringConfig.Builder |
mergeFrom(ModelMonitoringConfig other) |
ModelMonitoringConfig.Builder |
mergeStatsAnomaliesBaseDirectory(GcsDestination value)
A Google Cloud Storage location for batch prediction model monitoring to
dump statistics and anomalies.
|
ModelMonitoringConfig.Builder |
mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) |
ModelMonitoringConfig.Builder |
removeObjectiveConfigs(int index)
Model monitoring objective config.
|
ModelMonitoringConfig.Builder |
setAlertConfig(ModelMonitoringAlertConfig.Builder builderForValue)
Model monitoring alert config.
|
ModelMonitoringConfig.Builder |
setAlertConfig(ModelMonitoringAlertConfig value)
Model monitoring alert config.
|
ModelMonitoringConfig.Builder |
setAnalysisInstanceSchemaUri(String value)
YAML schema file uri in Cloud Storage describing the format of a single
instance that you want Tensorflow Data Validation (TFDV) to analyze.
|
ModelMonitoringConfig.Builder |
setAnalysisInstanceSchemaUriBytes(com.google.protobuf.ByteString value)
YAML schema file uri in Cloud Storage describing the format of a single
instance that you want Tensorflow Data Validation (TFDV) to analyze.
|
ModelMonitoringConfig.Builder |
setField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value) |
ModelMonitoringConfig.Builder |
setObjectiveConfigs(int index,
ModelMonitoringObjectiveConfig.Builder builderForValue)
Model monitoring objective config.
|
ModelMonitoringConfig.Builder |
setObjectiveConfigs(int index,
ModelMonitoringObjectiveConfig value)
Model monitoring objective config.
|
ModelMonitoringConfig.Builder |
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
int index,
Object value) |
ModelMonitoringConfig.Builder |
setStatsAnomaliesBaseDirectory(GcsDestination.Builder builderForValue)
A Google Cloud Storage location for batch prediction model monitoring to
dump statistics and anomalies.
|
ModelMonitoringConfig.Builder |
setStatsAnomaliesBaseDirectory(GcsDestination value)
A Google Cloud Storage location for batch prediction model monitoring to
dump statistics and anomalies.
|
ModelMonitoringConfig.Builder |
setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) |
getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setUnknownFieldSetBuilder, setUnknownFieldsProto3findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toStringaddAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, newUninitializedMessageExceptionequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitpublic static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringConfig.Builder>public ModelMonitoringConfig.Builder clear()
clear in interface com.google.protobuf.Message.Builderclear in interface com.google.protobuf.MessageLite.Builderclear in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringConfig.Builder>public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
getDescriptorForType in interface com.google.protobuf.Message.BuildergetDescriptorForType in interface com.google.protobuf.MessageOrBuildergetDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringConfig.Builder>public ModelMonitoringConfig getDefaultInstanceForType()
getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilderpublic ModelMonitoringConfig build()
build in interface com.google.protobuf.Message.Builderbuild in interface com.google.protobuf.MessageLite.Builderpublic ModelMonitoringConfig buildPartial()
buildPartial in interface com.google.protobuf.Message.BuilderbuildPartial in interface com.google.protobuf.MessageLite.Builderpublic ModelMonitoringConfig.Builder clone()
clone in interface com.google.protobuf.Message.Builderclone in interface com.google.protobuf.MessageLite.Builderclone in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringConfig.Builder>public ModelMonitoringConfig.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
setField in interface com.google.protobuf.Message.BuildersetField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringConfig.Builder>public ModelMonitoringConfig.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
clearField in interface com.google.protobuf.Message.BuilderclearField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringConfig.Builder>public ModelMonitoringConfig.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
clearOneof in interface com.google.protobuf.Message.BuilderclearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringConfig.Builder>public ModelMonitoringConfig.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
setRepeatedField in interface com.google.protobuf.Message.BuildersetRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringConfig.Builder>public ModelMonitoringConfig.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
addRepeatedField in interface com.google.protobuf.Message.BuilderaddRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringConfig.Builder>public ModelMonitoringConfig.Builder mergeFrom(com.google.protobuf.Message other)
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<ModelMonitoringConfig.Builder>public ModelMonitoringConfig.Builder mergeFrom(ModelMonitoringConfig other)
public final boolean isInitialized()
isInitialized in interface com.google.protobuf.MessageLiteOrBuilderisInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringConfig.Builder>public ModelMonitoringConfig.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in interface com.google.protobuf.MessageLite.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<ModelMonitoringConfig.Builder>IOExceptionpublic List<ModelMonitoringObjectiveConfig> getObjectiveConfigsList()
Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
getObjectiveConfigsList in interface ModelMonitoringConfigOrBuilderpublic int getObjectiveConfigsCount()
Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
getObjectiveConfigsCount in interface ModelMonitoringConfigOrBuilderpublic ModelMonitoringObjectiveConfig getObjectiveConfigs(int index)
Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
getObjectiveConfigs in interface ModelMonitoringConfigOrBuilderpublic ModelMonitoringConfig.Builder setObjectiveConfigs(int index, ModelMonitoringObjectiveConfig value)
Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
public ModelMonitoringConfig.Builder setObjectiveConfigs(int index, ModelMonitoringObjectiveConfig.Builder builderForValue)
Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
public ModelMonitoringConfig.Builder addObjectiveConfigs(ModelMonitoringObjectiveConfig value)
Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
public ModelMonitoringConfig.Builder addObjectiveConfigs(int index, ModelMonitoringObjectiveConfig value)
Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
public ModelMonitoringConfig.Builder addObjectiveConfigs(ModelMonitoringObjectiveConfig.Builder builderForValue)
Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
public ModelMonitoringConfig.Builder addObjectiveConfigs(int index, ModelMonitoringObjectiveConfig.Builder builderForValue)
Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
public ModelMonitoringConfig.Builder addAllObjectiveConfigs(Iterable<? extends ModelMonitoringObjectiveConfig> values)
Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
public ModelMonitoringConfig.Builder clearObjectiveConfigs()
Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
public ModelMonitoringConfig.Builder removeObjectiveConfigs(int index)
Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
public ModelMonitoringObjectiveConfig.Builder getObjectiveConfigsBuilder(int index)
Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
public ModelMonitoringObjectiveConfigOrBuilder getObjectiveConfigsOrBuilder(int index)
Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
getObjectiveConfigsOrBuilder in interface ModelMonitoringConfigOrBuilderpublic List<? extends ModelMonitoringObjectiveConfigOrBuilder> getObjectiveConfigsOrBuilderList()
Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
getObjectiveConfigsOrBuilderList in interface ModelMonitoringConfigOrBuilderpublic ModelMonitoringObjectiveConfig.Builder addObjectiveConfigsBuilder()
Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
public ModelMonitoringObjectiveConfig.Builder addObjectiveConfigsBuilder(int index)
Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
public List<ModelMonitoringObjectiveConfig.Builder> getObjectiveConfigsBuilderList()
Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
public boolean hasAlertConfig()
Model monitoring alert config.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;hasAlertConfig in interface ModelMonitoringConfigOrBuilderpublic ModelMonitoringAlertConfig getAlertConfig()
Model monitoring alert config.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;getAlertConfig in interface ModelMonitoringConfigOrBuilderpublic ModelMonitoringConfig.Builder setAlertConfig(ModelMonitoringAlertConfig value)
Model monitoring alert config.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;public ModelMonitoringConfig.Builder setAlertConfig(ModelMonitoringAlertConfig.Builder builderForValue)
Model monitoring alert config.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;public ModelMonitoringConfig.Builder mergeAlertConfig(ModelMonitoringAlertConfig value)
Model monitoring alert config.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;public ModelMonitoringConfig.Builder clearAlertConfig()
Model monitoring alert config.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;public ModelMonitoringAlertConfig.Builder getAlertConfigBuilder()
Model monitoring alert config.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;public ModelMonitoringAlertConfigOrBuilder getAlertConfigOrBuilder()
Model monitoring alert config.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;getAlertConfigOrBuilder in interface ModelMonitoringConfigOrBuilderpublic String getAnalysisInstanceSchemaUri()
YAML schema file uri in Cloud Storage describing the format of a single instance that you want Tensorflow Data Validation (TFDV) to analyze. If there are any data type differences between predict instance and TFDV instance, this field can be used to override the schema. For models trained with Vertex AI, this field must be set as all the fields in predict instance formatted as string.
string analysis_instance_schema_uri = 4;getAnalysisInstanceSchemaUri in interface ModelMonitoringConfigOrBuilderpublic com.google.protobuf.ByteString getAnalysisInstanceSchemaUriBytes()
YAML schema file uri in Cloud Storage describing the format of a single instance that you want Tensorflow Data Validation (TFDV) to analyze. If there are any data type differences between predict instance and TFDV instance, this field can be used to override the schema. For models trained with Vertex AI, this field must be set as all the fields in predict instance formatted as string.
string analysis_instance_schema_uri = 4;getAnalysisInstanceSchemaUriBytes in interface ModelMonitoringConfigOrBuilderpublic ModelMonitoringConfig.Builder setAnalysisInstanceSchemaUri(String value)
YAML schema file uri in Cloud Storage describing the format of a single instance that you want Tensorflow Data Validation (TFDV) to analyze. If there are any data type differences between predict instance and TFDV instance, this field can be used to override the schema. For models trained with Vertex AI, this field must be set as all the fields in predict instance formatted as string.
string analysis_instance_schema_uri = 4;value - The analysisInstanceSchemaUri to set.public ModelMonitoringConfig.Builder clearAnalysisInstanceSchemaUri()
YAML schema file uri in Cloud Storage describing the format of a single instance that you want Tensorflow Data Validation (TFDV) to analyze. If there are any data type differences between predict instance and TFDV instance, this field can be used to override the schema. For models trained with Vertex AI, this field must be set as all the fields in predict instance formatted as string.
string analysis_instance_schema_uri = 4;public ModelMonitoringConfig.Builder setAnalysisInstanceSchemaUriBytes(com.google.protobuf.ByteString value)
YAML schema file uri in Cloud Storage describing the format of a single instance that you want Tensorflow Data Validation (TFDV) to analyze. If there are any data type differences between predict instance and TFDV instance, this field can be used to override the schema. For models trained with Vertex AI, this field must be set as all the fields in predict instance formatted as string.
string analysis_instance_schema_uri = 4;value - The bytes for analysisInstanceSchemaUri to set.public boolean hasStatsAnomaliesBaseDirectory()
A Google Cloud Storage location for batch prediction model monitoring to dump statistics and anomalies. If not provided, a folder will be created in customer project to hold statistics and anomalies.
.google.cloud.aiplatform.v1beta1.GcsDestination stats_anomalies_base_directory = 5;
hasStatsAnomaliesBaseDirectory in interface ModelMonitoringConfigOrBuilderpublic GcsDestination getStatsAnomaliesBaseDirectory()
A Google Cloud Storage location for batch prediction model monitoring to dump statistics and anomalies. If not provided, a folder will be created in customer project to hold statistics and anomalies.
.google.cloud.aiplatform.v1beta1.GcsDestination stats_anomalies_base_directory = 5;
getStatsAnomaliesBaseDirectory in interface ModelMonitoringConfigOrBuilderpublic ModelMonitoringConfig.Builder setStatsAnomaliesBaseDirectory(GcsDestination value)
A Google Cloud Storage location for batch prediction model monitoring to dump statistics and anomalies. If not provided, a folder will be created in customer project to hold statistics and anomalies.
.google.cloud.aiplatform.v1beta1.GcsDestination stats_anomalies_base_directory = 5;
public ModelMonitoringConfig.Builder setStatsAnomaliesBaseDirectory(GcsDestination.Builder builderForValue)
A Google Cloud Storage location for batch prediction model monitoring to dump statistics and anomalies. If not provided, a folder will be created in customer project to hold statistics and anomalies.
.google.cloud.aiplatform.v1beta1.GcsDestination stats_anomalies_base_directory = 5;
public ModelMonitoringConfig.Builder mergeStatsAnomaliesBaseDirectory(GcsDestination value)
A Google Cloud Storage location for batch prediction model monitoring to dump statistics and anomalies. If not provided, a folder will be created in customer project to hold statistics and anomalies.
.google.cloud.aiplatform.v1beta1.GcsDestination stats_anomalies_base_directory = 5;
public ModelMonitoringConfig.Builder clearStatsAnomaliesBaseDirectory()
A Google Cloud Storage location for batch prediction model monitoring to dump statistics and anomalies. If not provided, a folder will be created in customer project to hold statistics and anomalies.
.google.cloud.aiplatform.v1beta1.GcsDestination stats_anomalies_base_directory = 5;
public GcsDestination.Builder getStatsAnomaliesBaseDirectoryBuilder()
A Google Cloud Storage location for batch prediction model monitoring to dump statistics and anomalies. If not provided, a folder will be created in customer project to hold statistics and anomalies.
.google.cloud.aiplatform.v1beta1.GcsDestination stats_anomalies_base_directory = 5;
public GcsDestinationOrBuilder getStatsAnomaliesBaseDirectoryOrBuilder()
A Google Cloud Storage location for batch prediction model monitoring to dump statistics and anomalies. If not provided, a folder will be created in customer project to hold statistics and anomalies.
.google.cloud.aiplatform.v1beta1.GcsDestination stats_anomalies_base_directory = 5;
getStatsAnomaliesBaseDirectoryOrBuilder in interface ModelMonitoringConfigOrBuilderpublic final ModelMonitoringConfig.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
setUnknownFields in interface com.google.protobuf.Message.BuildersetUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringConfig.Builder>public final ModelMonitoringConfig.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
mergeUnknownFields in interface com.google.protobuf.Message.BuildermergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ModelMonitoringConfig.Builder>Copyright © 2024 Google LLC. All rights reserved.