public final class ModelMonitor extends com.google.protobuf.GeneratedMessageV3 implements ModelMonitorOrBuilder
Vertex AI Model Monitoring Service serves as a central hub for the analysis and visualization of data quality and performance related to models. ModelMonitor stands as a top level resource for overseeing your model monitoring tasks.Protobuf type
google.cloud.aiplatform.v1beta1.ModelMonitor| Modifier and Type | Class and Description |
|---|---|
static class |
ModelMonitor.Builder
Vertex AI Model Monitoring Service serves as a central hub for the analysis
and visualization of data quality and performance related to models.
|
static class |
ModelMonitor.DefaultObjectiveCase |
static class |
ModelMonitor.ModelMonitoringTarget
The monitoring target refers to the entity that is subject to analysis.
|
static interface |
ModelMonitor.ModelMonitoringTargetOrBuilder |
com.google.protobuf.GeneratedMessageV3.BuilderParent, com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>,BuilderT extends com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageT,BuilderT>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessageV3.FieldAccessorTable, com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter| Modifier and Type | Field and Description |
|---|---|
static int |
CREATE_TIME_FIELD_NUMBER |
static int |
DISPLAY_NAME_FIELD_NUMBER |
static int |
EXPLANATION_SPEC_FIELD_NUMBER |
static int |
MODEL_MONITORING_SCHEMA_FIELD_NUMBER |
static int |
MODEL_MONITORING_TARGET_FIELD_NUMBER |
static int |
NAME_FIELD_NUMBER |
static int |
NOTIFICATION_SPEC_FIELD_NUMBER |
static int |
OUTPUT_SPEC_FIELD_NUMBER |
static int |
SATISFIES_PZI_FIELD_NUMBER |
static int |
SATISFIES_PZS_FIELD_NUMBER |
static int |
TABULAR_OBJECTIVE_FIELD_NUMBER |
static int |
TRAINING_DATASET_FIELD_NUMBER |
static int |
UPDATE_TIME_FIELD_NUMBER |
| Modifier and Type | Method and Description |
|---|---|
boolean |
equals(Object obj) |
com.google.protobuf.Timestamp |
getCreateTime()
Output only.
|
com.google.protobuf.TimestampOrBuilder |
getCreateTimeOrBuilder()
Output only.
|
static ModelMonitor |
getDefaultInstance() |
ModelMonitor |
getDefaultInstanceForType() |
ModelMonitor.DefaultObjectiveCase |
getDefaultObjectiveCase() |
static com.google.protobuf.Descriptors.Descriptor |
getDescriptor() |
String |
getDisplayName()
The display name of the ModelMonitor.
|
com.google.protobuf.ByteString |
getDisplayNameBytes()
The display name of the ModelMonitor.
|
ExplanationSpec |
getExplanationSpec()
Optional model explanation spec.
|
ExplanationSpecOrBuilder |
getExplanationSpecOrBuilder()
Optional model explanation spec.
|
ModelMonitoringSchema |
getModelMonitoringSchema()
Monitoring Schema is to specify the model's features, prediction outputs
and ground truth properties.
|
ModelMonitoringSchemaOrBuilder |
getModelMonitoringSchemaOrBuilder()
Monitoring Schema is to specify the model's features, prediction outputs
and ground truth properties.
|
ModelMonitor.ModelMonitoringTarget |
getModelMonitoringTarget()
The entity that is subject to analysis.
|
ModelMonitor.ModelMonitoringTargetOrBuilder |
getModelMonitoringTargetOrBuilder()
The entity that is subject to analysis.
|
String |
getName()
Immutable.
|
com.google.protobuf.ByteString |
getNameBytes()
Immutable.
|
ModelMonitoringNotificationSpec |
getNotificationSpec()
Optional default notification spec, it can be overridden in the
ModelMonitoringJob notification spec.
|
ModelMonitoringNotificationSpecOrBuilder |
getNotificationSpecOrBuilder()
Optional default notification spec, it can be overridden in the
ModelMonitoringJob notification spec.
|
ModelMonitoringOutputSpec |
getOutputSpec()
Optional default monitoring metrics/logs export spec, it can be overridden
in the ModelMonitoringJob output spec.
|
ModelMonitoringOutputSpecOrBuilder |
getOutputSpecOrBuilder()
Optional default monitoring metrics/logs export spec, it can be overridden
in the ModelMonitoringJob output spec.
|
com.google.protobuf.Parser<ModelMonitor> |
getParserForType() |
boolean |
getSatisfiesPzi()
Output only.
|
boolean |
getSatisfiesPzs()
Output only.
|
int |
getSerializedSize() |
ModelMonitoringObjectiveSpec.TabularObjective |
getTabularObjective()
Optional default tabular model monitoring objective.
|
ModelMonitoringObjectiveSpec.TabularObjectiveOrBuilder |
getTabularObjectiveOrBuilder()
Optional default tabular model monitoring objective.
|
ModelMonitoringInput |
getTrainingDataset()
Optional training dataset used to train the model.
|
ModelMonitoringInputOrBuilder |
getTrainingDatasetOrBuilder()
Optional training dataset used to train the model.
|
com.google.protobuf.Timestamp |
getUpdateTime()
Output only.
|
com.google.protobuf.TimestampOrBuilder |
getUpdateTimeOrBuilder()
Output only.
|
boolean |
hasCreateTime()
Output only.
|
boolean |
hasExplanationSpec()
Optional model explanation spec.
|
int |
hashCode() |
boolean |
hasModelMonitoringSchema()
Monitoring Schema is to specify the model's features, prediction outputs
and ground truth properties.
|
boolean |
hasModelMonitoringTarget()
The entity that is subject to analysis.
|
boolean |
hasNotificationSpec()
Optional default notification spec, it can be overridden in the
ModelMonitoringJob notification spec.
|
boolean |
hasOutputSpec()
Optional default monitoring metrics/logs export spec, it can be overridden
in the ModelMonitoringJob output spec.
|
boolean |
hasTabularObjective()
Optional default tabular model monitoring objective.
|
boolean |
hasTrainingDataset()
Optional training dataset used to train the model.
|
boolean |
hasUpdateTime()
Output only.
|
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable |
internalGetFieldAccessorTable() |
boolean |
isInitialized() |
static ModelMonitor.Builder |
newBuilder() |
static ModelMonitor.Builder |
newBuilder(ModelMonitor prototype) |
ModelMonitor.Builder |
newBuilderForType() |
protected ModelMonitor.Builder |
newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) |
protected Object |
newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused) |
static ModelMonitor |
parseDelimitedFrom(InputStream input) |
static ModelMonitor |
parseDelimitedFrom(InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static ModelMonitor |
parseFrom(byte[] data) |
static ModelMonitor |
parseFrom(byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static ModelMonitor |
parseFrom(ByteBuffer data) |
static ModelMonitor |
parseFrom(ByteBuffer data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static ModelMonitor |
parseFrom(com.google.protobuf.ByteString data) |
static ModelMonitor |
parseFrom(com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static ModelMonitor |
parseFrom(com.google.protobuf.CodedInputStream input) |
static ModelMonitor |
parseFrom(com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static ModelMonitor |
parseFrom(InputStream input) |
static ModelMonitor |
parseFrom(InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static com.google.protobuf.Parser<ModelMonitor> |
parser() |
ModelMonitor.Builder |
toBuilder() |
void |
writeTo(com.google.protobuf.CodedOutputStream output) |
canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, isStringEmpty, makeExtensionsImmutable, makeMutableCopy, makeMutableCopy, mergeFromAndMakeImmutableInternal, mutableCopy, mutableCopy, mutableCopy, mutableCopy, mutableCopy, newBooleanList, newBuilderForType, newDoubleList, newFloatList, newIntList, newLongList, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTagfindInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toStringaddAll, addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeToclone, finalize, getClass, notify, notifyAll, wait, wait, waitpublic static final int TABULAR_OBJECTIVE_FIELD_NUMBER
public static final int NAME_FIELD_NUMBER
public static final int DISPLAY_NAME_FIELD_NUMBER
public static final int MODEL_MONITORING_TARGET_FIELD_NUMBER
public static final int TRAINING_DATASET_FIELD_NUMBER
public static final int NOTIFICATION_SPEC_FIELD_NUMBER
public static final int OUTPUT_SPEC_FIELD_NUMBER
public static final int EXPLANATION_SPEC_FIELD_NUMBER
public static final int MODEL_MONITORING_SCHEMA_FIELD_NUMBER
public static final int CREATE_TIME_FIELD_NUMBER
public static final int UPDATE_TIME_FIELD_NUMBER
public static final int SATISFIES_PZS_FIELD_NUMBER
public static final int SATISFIES_PZI_FIELD_NUMBER
protected Object newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
newInstance in class com.google.protobuf.GeneratedMessageV3public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3public ModelMonitor.DefaultObjectiveCase getDefaultObjectiveCase()
getDefaultObjectiveCase in interface ModelMonitorOrBuilderpublic boolean hasTabularObjective()
Optional default tabular model monitoring objective.
.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 11;
hasTabularObjective in interface ModelMonitorOrBuilderpublic ModelMonitoringObjectiveSpec.TabularObjective getTabularObjective()
Optional default tabular model monitoring objective.
.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 11;
getTabularObjective in interface ModelMonitorOrBuilderpublic ModelMonitoringObjectiveSpec.TabularObjectiveOrBuilder getTabularObjectiveOrBuilder()
Optional default tabular model monitoring objective.
.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 11;
getTabularObjectiveOrBuilder in interface ModelMonitorOrBuilderpublic String getName()
Immutable. Resource name of the ModelMonitor. Format:
`projects/{project}/locations/{location}/modelMonitors/{model_monitor}`.
string name = 1 [(.google.api.field_behavior) = IMMUTABLE];getName in interface ModelMonitorOrBuilderpublic com.google.protobuf.ByteString getNameBytes()
Immutable. Resource name of the ModelMonitor. Format:
`projects/{project}/locations/{location}/modelMonitors/{model_monitor}`.
string name = 1 [(.google.api.field_behavior) = IMMUTABLE];getNameBytes in interface ModelMonitorOrBuilderpublic String getDisplayName()
The display name of the ModelMonitor. The name can be up to 128 characters long and can consist of any UTF-8.
string display_name = 2;getDisplayName in interface ModelMonitorOrBuilderpublic com.google.protobuf.ByteString getDisplayNameBytes()
The display name of the ModelMonitor. The name can be up to 128 characters long and can consist of any UTF-8.
string display_name = 2;getDisplayNameBytes in interface ModelMonitorOrBuilderpublic boolean hasModelMonitoringTarget()
The entity that is subject to analysis. Currently only models in Vertex AI Model Registry are supported. If you want to analyze the model which is outside the Vertex AI, you could register a model in Vertex AI Model Registry using just a display name.
.google.cloud.aiplatform.v1beta1.ModelMonitor.ModelMonitoringTarget model_monitoring_target = 3;
hasModelMonitoringTarget in interface ModelMonitorOrBuilderpublic ModelMonitor.ModelMonitoringTarget getModelMonitoringTarget()
The entity that is subject to analysis. Currently only models in Vertex AI Model Registry are supported. If you want to analyze the model which is outside the Vertex AI, you could register a model in Vertex AI Model Registry using just a display name.
.google.cloud.aiplatform.v1beta1.ModelMonitor.ModelMonitoringTarget model_monitoring_target = 3;
getModelMonitoringTarget in interface ModelMonitorOrBuilderpublic ModelMonitor.ModelMonitoringTargetOrBuilder getModelMonitoringTargetOrBuilder()
The entity that is subject to analysis. Currently only models in Vertex AI Model Registry are supported. If you want to analyze the model which is outside the Vertex AI, you could register a model in Vertex AI Model Registry using just a display name.
.google.cloud.aiplatform.v1beta1.ModelMonitor.ModelMonitoringTarget model_monitoring_target = 3;
getModelMonitoringTargetOrBuilder in interface ModelMonitorOrBuilderpublic boolean hasTrainingDataset()
Optional training dataset used to train the model. It can serve as a reference dataset to identify changes in production.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput training_dataset = 10;hasTrainingDataset in interface ModelMonitorOrBuilderpublic ModelMonitoringInput getTrainingDataset()
Optional training dataset used to train the model. It can serve as a reference dataset to identify changes in production.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput training_dataset = 10;getTrainingDataset in interface ModelMonitorOrBuilderpublic ModelMonitoringInputOrBuilder getTrainingDatasetOrBuilder()
Optional training dataset used to train the model. It can serve as a reference dataset to identify changes in production.
.google.cloud.aiplatform.v1beta1.ModelMonitoringInput training_dataset = 10;getTrainingDatasetOrBuilder in interface ModelMonitorOrBuilderpublic boolean hasNotificationSpec()
Optional default notification spec, it can be overridden in the ModelMonitoringJob notification spec.
.google.cloud.aiplatform.v1beta1.ModelMonitoringNotificationSpec notification_spec = 12;
hasNotificationSpec in interface ModelMonitorOrBuilderpublic ModelMonitoringNotificationSpec getNotificationSpec()
Optional default notification spec, it can be overridden in the ModelMonitoringJob notification spec.
.google.cloud.aiplatform.v1beta1.ModelMonitoringNotificationSpec notification_spec = 12;
getNotificationSpec in interface ModelMonitorOrBuilderpublic ModelMonitoringNotificationSpecOrBuilder getNotificationSpecOrBuilder()
Optional default notification spec, it can be overridden in the ModelMonitoringJob notification spec.
.google.cloud.aiplatform.v1beta1.ModelMonitoringNotificationSpec notification_spec = 12;
getNotificationSpecOrBuilder in interface ModelMonitorOrBuilderpublic boolean hasOutputSpec()
Optional default monitoring metrics/logs export spec, it can be overridden in the ModelMonitoringJob output spec. If not specified, a default Google Cloud Storage bucket will be created under your project.
.google.cloud.aiplatform.v1beta1.ModelMonitoringOutputSpec output_spec = 13;hasOutputSpec in interface ModelMonitorOrBuilderpublic ModelMonitoringOutputSpec getOutputSpec()
Optional default monitoring metrics/logs export spec, it can be overridden in the ModelMonitoringJob output spec. If not specified, a default Google Cloud Storage bucket will be created under your project.
.google.cloud.aiplatform.v1beta1.ModelMonitoringOutputSpec output_spec = 13;getOutputSpec in interface ModelMonitorOrBuilderpublic ModelMonitoringOutputSpecOrBuilder getOutputSpecOrBuilder()
Optional default monitoring metrics/logs export spec, it can be overridden in the ModelMonitoringJob output spec. If not specified, a default Google Cloud Storage bucket will be created under your project.
.google.cloud.aiplatform.v1beta1.ModelMonitoringOutputSpec output_spec = 13;getOutputSpecOrBuilder in interface ModelMonitorOrBuilderpublic boolean hasExplanationSpec()
Optional model explanation spec. It is used for feature attribution monitoring.
.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 16;hasExplanationSpec in interface ModelMonitorOrBuilderpublic ExplanationSpec getExplanationSpec()
Optional model explanation spec. It is used for feature attribution monitoring.
.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 16;getExplanationSpec in interface ModelMonitorOrBuilderpublic ExplanationSpecOrBuilder getExplanationSpecOrBuilder()
Optional model explanation spec. It is used for feature attribution monitoring.
.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 16;getExplanationSpecOrBuilder in interface ModelMonitorOrBuilderpublic boolean hasModelMonitoringSchema()
Monitoring Schema is to specify the model's features, prediction outputs and ground truth properties. It is used to extract pertinent data from the dataset and to process features based on their properties. Make sure that the schema aligns with your dataset, if it does not, we will be unable to extract data from the dataset. It is required for most models, but optional for Vertex AI AutoML Tables unless the schem information is not available.
.google.cloud.aiplatform.v1beta1.ModelMonitoringSchema model_monitoring_schema = 9;
hasModelMonitoringSchema in interface ModelMonitorOrBuilderpublic ModelMonitoringSchema getModelMonitoringSchema()
Monitoring Schema is to specify the model's features, prediction outputs and ground truth properties. It is used to extract pertinent data from the dataset and to process features based on their properties. Make sure that the schema aligns with your dataset, if it does not, we will be unable to extract data from the dataset. It is required for most models, but optional for Vertex AI AutoML Tables unless the schem information is not available.
.google.cloud.aiplatform.v1beta1.ModelMonitoringSchema model_monitoring_schema = 9;
getModelMonitoringSchema in interface ModelMonitorOrBuilderpublic ModelMonitoringSchemaOrBuilder getModelMonitoringSchemaOrBuilder()
Monitoring Schema is to specify the model's features, prediction outputs and ground truth properties. It is used to extract pertinent data from the dataset and to process features based on their properties. Make sure that the schema aligns with your dataset, if it does not, we will be unable to extract data from the dataset. It is required for most models, but optional for Vertex AI AutoML Tables unless the schem information is not available.
.google.cloud.aiplatform.v1beta1.ModelMonitoringSchema model_monitoring_schema = 9;
getModelMonitoringSchemaOrBuilder in interface ModelMonitorOrBuilderpublic boolean hasCreateTime()
Output only. Timestamp when this ModelMonitor was created.
.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
hasCreateTime in interface ModelMonitorOrBuilderpublic com.google.protobuf.Timestamp getCreateTime()
Output only. Timestamp when this ModelMonitor was created.
.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
getCreateTime in interface ModelMonitorOrBuilderpublic com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder()
Output only. Timestamp when this ModelMonitor was created.
.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
getCreateTimeOrBuilder in interface ModelMonitorOrBuilderpublic boolean hasUpdateTime()
Output only. Timestamp when this ModelMonitor was updated most recently.
.google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
hasUpdateTime in interface ModelMonitorOrBuilderpublic com.google.protobuf.Timestamp getUpdateTime()
Output only. Timestamp when this ModelMonitor was updated most recently.
.google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
getUpdateTime in interface ModelMonitorOrBuilderpublic com.google.protobuf.TimestampOrBuilder getUpdateTimeOrBuilder()
Output only. Timestamp when this ModelMonitor was updated most recently.
.google.protobuf.Timestamp update_time = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];
getUpdateTimeOrBuilder in interface ModelMonitorOrBuilderpublic boolean getSatisfiesPzs()
Output only. Reserved for future use.
bool satisfies_pzs = 17 [(.google.api.field_behavior) = OUTPUT_ONLY];getSatisfiesPzs in interface ModelMonitorOrBuilderpublic boolean getSatisfiesPzi()
Output only. Reserved for future use.
bool satisfies_pzi = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];getSatisfiesPzi in interface ModelMonitorOrBuilderpublic final boolean isInitialized()
isInitialized in interface com.google.protobuf.MessageLiteOrBuilderisInitialized in class com.google.protobuf.GeneratedMessageV3public void writeTo(com.google.protobuf.CodedOutputStream output)
throws IOException
writeTo in interface com.google.protobuf.MessageLitewriteTo in class com.google.protobuf.GeneratedMessageV3IOExceptionpublic int getSerializedSize()
getSerializedSize in interface com.google.protobuf.MessageLitegetSerializedSize in class com.google.protobuf.GeneratedMessageV3public boolean equals(Object obj)
equals in interface com.google.protobuf.Messageequals in class com.google.protobuf.AbstractMessagepublic int hashCode()
hashCode in interface com.google.protobuf.MessagehashCode in class com.google.protobuf.AbstractMessagepublic static ModelMonitor parseFrom(ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static ModelMonitor parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static ModelMonitor parseFrom(com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static ModelMonitor parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static ModelMonitor parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static ModelMonitor parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static ModelMonitor parseFrom(InputStream input) throws IOException
IOExceptionpublic static ModelMonitor parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic static ModelMonitor parseDelimitedFrom(InputStream input) throws IOException
IOExceptionpublic static ModelMonitor parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic static ModelMonitor parseFrom(com.google.protobuf.CodedInputStream input) throws IOException
IOExceptionpublic static ModelMonitor parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic ModelMonitor.Builder newBuilderForType()
newBuilderForType in interface com.google.protobuf.MessagenewBuilderForType in interface com.google.protobuf.MessageLitepublic static ModelMonitor.Builder newBuilder()
public static ModelMonitor.Builder newBuilder(ModelMonitor prototype)
public ModelMonitor.Builder toBuilder()
toBuilder in interface com.google.protobuf.MessagetoBuilder in interface com.google.protobuf.MessageLiteprotected ModelMonitor.Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
newBuilderForType in class com.google.protobuf.GeneratedMessageV3public static ModelMonitor getDefaultInstance()
public static com.google.protobuf.Parser<ModelMonitor> parser()
public com.google.protobuf.Parser<ModelMonitor> getParserForType()
getParserForType in interface com.google.protobuf.MessagegetParserForType in interface com.google.protobuf.MessageLitegetParserForType in class com.google.protobuf.GeneratedMessageV3public ModelMonitor getDefaultInstanceForType()
getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilderCopyright © 2024 Google LLC. All rights reserved.