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public static final class ModelMonitoringConfig.Builder extends GeneratedMessageV3.Builder<ModelMonitoringConfig.Builder> implements ModelMonitoringConfigOrBuilderThe model monitoring configuration used for Batch Prediction Job.
Protobuf type google.cloud.aiplatform.v1beta1.ModelMonitoringConfig
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ModelMonitoringConfig.BuilderImplements
ModelMonitoringConfigOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
Methods
addAllObjectiveConfigs(Iterable<? extends ModelMonitoringObjectiveConfig> values)
public ModelMonitoringConfig.Builder addAllObjectiveConfigs(Iterable<? extends ModelMonitoringObjectiveConfig> values)Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
| Parameter | |
|---|---|
| Name | Description |
values |
Iterable<? extends com.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig> |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
addObjectiveConfigs(ModelMonitoringObjectiveConfig value)
public ModelMonitoringConfig.Builder addObjectiveConfigs(ModelMonitoringObjectiveConfig value)Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
| Parameter | |
|---|---|
| Name | Description |
value |
ModelMonitoringObjectiveConfig |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
addObjectiveConfigs(ModelMonitoringObjectiveConfig.Builder builderForValue)
public ModelMonitoringConfig.Builder addObjectiveConfigs(ModelMonitoringObjectiveConfig.Builder builderForValue)Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
| Parameter | |
|---|---|
| Name | Description |
builderForValue |
ModelMonitoringObjectiveConfig.Builder |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
addObjectiveConfigs(int index, ModelMonitoringObjectiveConfig value)
public ModelMonitoringConfig.Builder addObjectiveConfigs(int index, ModelMonitoringObjectiveConfig value)Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
| Parameters | |
|---|---|
| Name | Description |
index |
int |
value |
ModelMonitoringObjectiveConfig |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
addObjectiveConfigs(int index, ModelMonitoringObjectiveConfig.Builder builderForValue)
public ModelMonitoringConfig.Builder addObjectiveConfigs(int index, ModelMonitoringObjectiveConfig.Builder builderForValue)Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
| Parameters | |
|---|---|
| Name | Description |
index |
int |
builderForValue |
ModelMonitoringObjectiveConfig.Builder |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
addObjectiveConfigsBuilder()
public ModelMonitoringObjectiveConfig.Builder addObjectiveConfigsBuilder()Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.Builder |
|
addObjectiveConfigsBuilder(int index)
public ModelMonitoringObjectiveConfig.Builder addObjectiveConfigsBuilder(int index)Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
| Parameter | |
|---|---|
| Name | Description |
index |
int |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.Builder |
|
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public ModelMonitoringConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)| Parameters | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
value |
Object |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
build()
public ModelMonitoringConfig build()| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig |
|
buildPartial()
public ModelMonitoringConfig buildPartial()| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig |
|
clear()
public ModelMonitoringConfig.Builder clear()| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
clearAlertConfig()
public ModelMonitoringConfig.Builder clearAlertConfig()Model monitoring alert config.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
clearAnalysisInstanceSchemaUri()
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;
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
This builder for chaining. |
clearField(Descriptors.FieldDescriptor field)
public ModelMonitoringConfig.Builder clearField(Descriptors.FieldDescriptor field)| Parameter | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
clearObjectiveConfigs()
public ModelMonitoringConfig.Builder clearObjectiveConfigs()Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
clearOneof(Descriptors.OneofDescriptor oneof)
public ModelMonitoringConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)| Parameter | |
|---|---|
| Name | Description |
oneof |
OneofDescriptor |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
clearStatsAnomaliesBaseDirectory()
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;
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
clone()
public ModelMonitoringConfig.Builder clone()| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
getAlertConfig()
public ModelMonitoringAlertConfig getAlertConfig()Model monitoring alert config.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringAlertConfig |
The alertConfig. |
getAlertConfigBuilder()
public ModelMonitoringAlertConfig.Builder getAlertConfigBuilder()Model monitoring alert config.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringAlertConfig.Builder |
|
getAlertConfigOrBuilder()
public ModelMonitoringAlertConfigOrBuilder getAlertConfigOrBuilder()Model monitoring alert config.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringAlertConfigOrBuilder |
|
getAnalysisInstanceSchemaUri()
public 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;
| Returns | |
|---|---|
| Type | Description |
String |
The analysisInstanceSchemaUri. |
getAnalysisInstanceSchemaUriBytes()
public 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;
| Returns | |
|---|---|
| Type | Description |
ByteString |
The bytes for analysisInstanceSchemaUri. |
getDefaultInstanceForType()
public ModelMonitoringConfig getDefaultInstanceForType()| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig |
|
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
getObjectiveConfigs(int index)
public ModelMonitoringObjectiveConfig getObjectiveConfigs(int index)Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
| Parameter | |
|---|---|
| Name | Description |
index |
int |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig |
|
getObjectiveConfigsBuilder(int index)
public ModelMonitoringObjectiveConfig.Builder getObjectiveConfigsBuilder(int index)Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
| Parameter | |
|---|---|
| Name | Description |
index |
int |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfig.Builder |
|
getObjectiveConfigsBuilderList()
public List<ModelMonitoringObjectiveConfig.Builder> getObjectiveConfigsBuilderList()Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
| Returns | |
|---|---|
| Type | Description |
List<Builder> |
|
getObjectiveConfigsCount()
public int getObjectiveConfigsCount()Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
| Returns | |
|---|---|
| Type | Description |
int |
|
getObjectiveConfigsList()
public List<ModelMonitoringObjectiveConfig> getObjectiveConfigsList()Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
| Returns | |
|---|---|
| Type | Description |
List<ModelMonitoringObjectiveConfig> |
|
getObjectiveConfigsOrBuilder(int index)
public ModelMonitoringObjectiveConfigOrBuilder getObjectiveConfigsOrBuilder(int index)Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
| Parameter | |
|---|---|
| Name | Description |
index |
int |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringObjectiveConfigOrBuilder |
|
getObjectiveConfigsOrBuilderList()
public List<? extends ModelMonitoringObjectiveConfigOrBuilder> getObjectiveConfigsOrBuilderList()Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
| Returns | |
|---|---|
| Type | Description |
List<? extends com.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfigOrBuilder> |
|
getStatsAnomaliesBaseDirectory()
public 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;
| Returns | |
|---|---|
| Type | Description |
GcsDestination |
The statsAnomaliesBaseDirectory. |
getStatsAnomaliesBaseDirectoryBuilder()
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;
| Returns | |
|---|---|
| Type | Description |
GcsDestination.Builder |
|
getStatsAnomaliesBaseDirectoryOrBuilder()
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;
| Returns | |
|---|---|
| Type | Description |
GcsDestinationOrBuilder |
|
hasAlertConfig()
public boolean hasAlertConfig()Model monitoring alert config.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the alertConfig field is set. |
hasStatsAnomaliesBaseDirectory()
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;
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the statsAnomaliesBaseDirectory field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()| Returns | |
|---|---|
| Type | Description |
FieldAccessorTable |
|
isInitialized()
public final boolean isInitialized()| Returns | |
|---|---|
| Type | Description |
boolean |
|
mergeAlertConfig(ModelMonitoringAlertConfig value)
public ModelMonitoringConfig.Builder mergeAlertConfig(ModelMonitoringAlertConfig value)Model monitoring alert config.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;
| Parameter | |
|---|---|
| Name | Description |
value |
ModelMonitoringAlertConfig |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
mergeFrom(ModelMonitoringConfig other)
public ModelMonitoringConfig.Builder mergeFrom(ModelMonitoringConfig other)| Parameter | |
|---|---|
| Name | Description |
other |
ModelMonitoringConfig |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public ModelMonitoringConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)| Parameters | |
|---|---|
| Name | Description |
input |
CodedInputStream |
extensionRegistry |
ExtensionRegistryLite |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
| Exceptions | |
|---|---|
| Type | Description |
IOException |
|
mergeFrom(Message other)
public ModelMonitoringConfig.Builder mergeFrom(Message other)| Parameter | |
|---|---|
| Name | Description |
other |
Message |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
mergeStatsAnomaliesBaseDirectory(GcsDestination value)
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;
| Parameter | |
|---|---|
| Name | Description |
value |
GcsDestination |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
mergeUnknownFields(UnknownFieldSet unknownFields)
public final ModelMonitoringConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)| Parameter | |
|---|---|
| Name | Description |
unknownFields |
UnknownFieldSet |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
removeObjectiveConfigs(int index)
public ModelMonitoringConfig.Builder removeObjectiveConfigs(int index)Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
| Parameter | |
|---|---|
| Name | Description |
index |
int |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
setAlertConfig(ModelMonitoringAlertConfig value)
public ModelMonitoringConfig.Builder setAlertConfig(ModelMonitoringAlertConfig value)Model monitoring alert config.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;
| Parameter | |
|---|---|
| Name | Description |
value |
ModelMonitoringAlertConfig |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
setAlertConfig(ModelMonitoringAlertConfig.Builder builderForValue)
public ModelMonitoringConfig.Builder setAlertConfig(ModelMonitoringAlertConfig.Builder builderForValue)Model monitoring alert config.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;
| Parameter | |
|---|---|
| Name | Description |
builderForValue |
ModelMonitoringAlertConfig.Builder |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
setAnalysisInstanceSchemaUri(String value)
public 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;
| Parameter | |
|---|---|
| Name | Description |
value |
StringThe analysisInstanceSchemaUri to set. |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
This builder for chaining. |
setAnalysisInstanceSchemaUriBytes(ByteString value)
public ModelMonitoringConfig.Builder setAnalysisInstanceSchemaUriBytes(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;
| Parameter | |
|---|---|
| Name | Description |
value |
ByteStringThe bytes for analysisInstanceSchemaUri to set. |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public ModelMonitoringConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)| Parameters | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
value |
Object |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
setObjectiveConfigs(int index, ModelMonitoringObjectiveConfig value)
public ModelMonitoringConfig.Builder setObjectiveConfigs(int index, ModelMonitoringObjectiveConfig value)Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
| Parameters | |
|---|---|
| Name | Description |
index |
int |
value |
ModelMonitoringObjectiveConfig |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
setObjectiveConfigs(int index, ModelMonitoringObjectiveConfig.Builder builderForValue)
public ModelMonitoringConfig.Builder setObjectiveConfigs(int index, ModelMonitoringObjectiveConfig.Builder builderForValue)Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
| Parameters | |
|---|---|
| Name | Description |
index |
int |
builderForValue |
ModelMonitoringObjectiveConfig.Builder |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public ModelMonitoringConfig.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)| Parameters | |
|---|---|
| Name | Description |
field |
FieldDescriptor |
index |
int |
value |
Object |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
setStatsAnomaliesBaseDirectory(GcsDestination value)
public 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;
| Parameter | |
|---|---|
| Name | Description |
value |
GcsDestination |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
setStatsAnomaliesBaseDirectory(GcsDestination.Builder builderForValue)
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;
| Parameter | |
|---|---|
| Name | Description |
builderForValue |
GcsDestination.Builder |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|
setUnknownFields(UnknownFieldSet unknownFields)
public final ModelMonitoringConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)| Parameter | |
|---|---|
| Name | Description |
unknownFields |
UnknownFieldSet |
| Returns | |
|---|---|
| Type | Description |
ModelMonitoringConfig.Builder |
|