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public final class ModelMonitoringConfig extends GeneratedMessageV3 implements ModelMonitoringConfigOrBuilder
Next ID: 5
Protobuf type google.cloud.aiplatform.v1beta1.ModelMonitoringConfig
Inheritance
Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > ModelMonitoringConfigImplements
ModelMonitoringConfigOrBuilderStatic Fields
ALERT_CONFIG_FIELD_NUMBER
public static final int ALERT_CONFIG_FIELD_NUMBER
Type | Description |
int |
ANALYSIS_INSTANCE_SCHEMA_URI_FIELD_NUMBER
public static final int ANALYSIS_INSTANCE_SCHEMA_URI_FIELD_NUMBER
Type | Description |
int |
OBJECTIVE_CONFIGS_FIELD_NUMBER
public static final int OBJECTIVE_CONFIGS_FIELD_NUMBER
Type | Description |
int |
Static Methods
getDefaultInstance()
public static ModelMonitoringConfig getDefaultInstance()
Type | Description |
ModelMonitoringConfig |
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Type | Description |
Descriptor |
newBuilder()
public static ModelMonitoringConfig.Builder newBuilder()
Type | Description |
ModelMonitoringConfig.Builder |
newBuilder(ModelMonitoringConfig prototype)
public static ModelMonitoringConfig.Builder newBuilder(ModelMonitoringConfig prototype)
Name | Description |
prototype | ModelMonitoringConfig |
Type | Description |
ModelMonitoringConfig.Builder |
parseDelimitedFrom(InputStream input)
public static ModelMonitoringConfig parseDelimitedFrom(InputStream input)
Name | Description |
input | InputStream |
Type | Description |
ModelMonitoringConfig |
Type | Description |
IOException |
parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static ModelMonitoringConfig parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | InputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ModelMonitoringConfig |
Type | Description |
IOException |
parseFrom(byte[] data)
public static ModelMonitoringConfig parseFrom(byte[] data)
Name | Description |
data | byte[] |
Type | Description |
ModelMonitoringConfig |
Type | Description |
InvalidProtocolBufferException |
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static ModelMonitoringConfig parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Name | Description |
data | byte[] |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ModelMonitoringConfig |
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteString data)
public static ModelMonitoringConfig parseFrom(ByteString data)
Name | Description |
data | ByteString |
Type | Description |
ModelMonitoringConfig |
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static ModelMonitoringConfig parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Name | Description |
data | ByteString |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ModelMonitoringConfig |
Type | Description |
InvalidProtocolBufferException |
parseFrom(CodedInputStream input)
public static ModelMonitoringConfig parseFrom(CodedInputStream input)
Name | Description |
input | CodedInputStream |
Type | Description |
ModelMonitoringConfig |
Type | Description |
IOException |
parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static ModelMonitoringConfig parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ModelMonitoringConfig |
Type | Description |
IOException |
parseFrom(InputStream input)
public static ModelMonitoringConfig parseFrom(InputStream input)
Name | Description |
input | InputStream |
Type | Description |
ModelMonitoringConfig |
Type | Description |
IOException |
parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static ModelMonitoringConfig parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | InputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ModelMonitoringConfig |
Type | Description |
IOException |
parseFrom(ByteBuffer data)
public static ModelMonitoringConfig parseFrom(ByteBuffer data)
Name | Description |
data | ByteBuffer |
Type | Description |
ModelMonitoringConfig |
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static ModelMonitoringConfig parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Name | Description |
data | ByteBuffer |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ModelMonitoringConfig |
Type | Description |
InvalidProtocolBufferException |
parser()
public static Parser<ModelMonitoringConfig> parser()
Type | Description |
Parser<ModelMonitoringConfig> |
Methods
equals(Object obj)
public boolean equals(Object obj)
Name | Description |
obj | Object |
Type | Description |
boolean |
getAlertConfig()
public ModelMonitoringAlertConfig getAlertConfig()
Model monitoring alert config.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;
Type | Description |
ModelMonitoringAlertConfig | The alertConfig. |
getAlertConfigOrBuilder()
public ModelMonitoringAlertConfigOrBuilder getAlertConfigOrBuilder()
Model monitoring alert config.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;
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;
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;
Type | Description |
ByteString | The bytes for analysisInstanceSchemaUri. |
getDefaultInstanceForType()
public ModelMonitoringConfig getDefaultInstanceForType()
Type | Description |
ModelMonitoringConfig |
getObjectiveConfigs(int index)
public ModelMonitoringObjectiveConfig getObjectiveConfigs(int index)
Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
Name | Description |
index | int |
Type | Description |
ModelMonitoringObjectiveConfig |
getObjectiveConfigsCount()
public int getObjectiveConfigsCount()
Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
Type | Description |
int |
getObjectiveConfigsList()
public List<ModelMonitoringObjectiveConfig> getObjectiveConfigsList()
Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
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;
Name | Description |
index | int |
Type | Description |
ModelMonitoringObjectiveConfigOrBuilder |
getObjectiveConfigsOrBuilderList()
public List<? extends ModelMonitoringObjectiveConfigOrBuilder> getObjectiveConfigsOrBuilderList()
Model monitoring objective config.
repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig objective_configs = 3;
Type | Description |
List<? extends com.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfigOrBuilder> |
getParserForType()
public Parser<ModelMonitoringConfig> getParserForType()
Type | Description |
Parser<ModelMonitoringConfig> |
getSerializedSize()
public int getSerializedSize()
Type | Description |
int |
getUnknownFields()
public final UnknownFieldSet getUnknownFields()
Type | Description |
UnknownFieldSet |
hasAlertConfig()
public boolean hasAlertConfig()
Model monitoring alert config.
.google.cloud.aiplatform.v1beta1.ModelMonitoringAlertConfig alert_config = 2;
Type | Description |
boolean | Whether the alertConfig field is set. |
hashCode()
public int hashCode()
Type | Description |
int |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Type | Description |
boolean |
newBuilderForType()
public ModelMonitoringConfig.Builder newBuilderForType()
Type | Description |
ModelMonitoringConfig.Builder |
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected ModelMonitoringConfig.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Name | Description |
parent | BuilderParent |
Type | Description |
ModelMonitoringConfig.Builder |
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Name | Description |
unused | UnusedPrivateParameter |
Type | Description |
Object |
toBuilder()
public ModelMonitoringConfig.Builder toBuilder()
Type | Description |
ModelMonitoringConfig.Builder |
writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
Name | Description |
output | CodedOutputStream |
Type | Description |
IOException |