public final class AutoMlImageClassificationInputs extends com.google.protobuf.GeneratedMessageV3 implements AutoMlImageClassificationInputsOrBuilder
google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs| Modifier and Type | Class and Description |
|---|---|
static class |
AutoMlImageClassificationInputs.Builder
Protobuf type
google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs |
static class |
AutoMlImageClassificationInputs.ModelType
Protobuf enum
google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType |
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 |
BASE_MODEL_ID_FIELD_NUMBER |
static int |
BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER |
static int |
DISABLE_EARLY_STOPPING_FIELD_NUMBER |
static int |
MODEL_TYPE_FIELD_NUMBER |
static int |
MULTI_LABEL_FIELD_NUMBER |
| Modifier and Type | Method and Description |
|---|---|
boolean |
equals(Object obj) |
String |
getBaseModelId()
The ID of the `base` model.
|
com.google.protobuf.ByteString |
getBaseModelIdBytes()
The ID of the `base` model.
|
long |
getBudgetMilliNodeHours()
The training budget of creating this model, expressed in milli node
hours i.e.
|
static AutoMlImageClassificationInputs |
getDefaultInstance() |
AutoMlImageClassificationInputs |
getDefaultInstanceForType() |
static com.google.protobuf.Descriptors.Descriptor |
getDescriptor() |
boolean |
getDisableEarlyStopping()
Use the entire training budget.
|
AutoMlImageClassificationInputs.ModelType |
getModelType()
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType model_type = 1;
|
int |
getModelTypeValue()
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType model_type = 1;
|
boolean |
getMultiLabel()
If false, a single-label (multi-class) Model will be trained (i.e.
|
com.google.protobuf.Parser<AutoMlImageClassificationInputs> |
getParserForType() |
int |
getSerializedSize() |
int |
hashCode() |
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable |
internalGetFieldAccessorTable() |
boolean |
isInitialized() |
static AutoMlImageClassificationInputs.Builder |
newBuilder() |
static AutoMlImageClassificationInputs.Builder |
newBuilder(AutoMlImageClassificationInputs prototype) |
AutoMlImageClassificationInputs.Builder |
newBuilderForType() |
protected AutoMlImageClassificationInputs.Builder |
newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) |
protected Object |
newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused) |
static AutoMlImageClassificationInputs |
parseDelimitedFrom(InputStream input) |
static AutoMlImageClassificationInputs |
parseDelimitedFrom(InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static AutoMlImageClassificationInputs |
parseFrom(byte[] data) |
static AutoMlImageClassificationInputs |
parseFrom(byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static AutoMlImageClassificationInputs |
parseFrom(ByteBuffer data) |
static AutoMlImageClassificationInputs |
parseFrom(ByteBuffer data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static AutoMlImageClassificationInputs |
parseFrom(com.google.protobuf.ByteString data) |
static AutoMlImageClassificationInputs |
parseFrom(com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static AutoMlImageClassificationInputs |
parseFrom(com.google.protobuf.CodedInputStream input) |
static AutoMlImageClassificationInputs |
parseFrom(com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static AutoMlImageClassificationInputs |
parseFrom(InputStream input) |
static AutoMlImageClassificationInputs |
parseFrom(InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static com.google.protobuf.Parser<AutoMlImageClassificationInputs> |
parser() |
AutoMlImageClassificationInputs.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 MODEL_TYPE_FIELD_NUMBER
public static final int BASE_MODEL_ID_FIELD_NUMBER
public static final int BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER
public static final int DISABLE_EARLY_STOPPING_FIELD_NUMBER
public static final int MULTI_LABEL_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 int getModelTypeValue()
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType model_type = 1;
getModelTypeValue in interface AutoMlImageClassificationInputsOrBuilderpublic AutoMlImageClassificationInputs.ModelType getModelType()
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType model_type = 1;
getModelType in interface AutoMlImageClassificationInputsOrBuilderpublic String getBaseModelId()
The ID of the `base` model. If it is specified, the new model will be trained based on the `base` model. Otherwise, the new model will be trained from scratch. The `base` model must be in the same Project and Location as the new Model to train, and have the same modelType.
string base_model_id = 2;getBaseModelId in interface AutoMlImageClassificationInputsOrBuilderpublic com.google.protobuf.ByteString getBaseModelIdBytes()
The ID of the `base` model. If it is specified, the new model will be trained based on the `base` model. Otherwise, the new model will be trained from scratch. The `base` model must be in the same Project and Location as the new Model to train, and have the same modelType.
string base_model_id = 2;getBaseModelIdBytes in interface AutoMlImageClassificationInputsOrBuilderpublic long getBudgetMilliNodeHours()
The training budget of creating this model, expressed in milli node hours i.e. 1,000 value in this field means 1 node hour. The actual metadata.costMilliNodeHours will be equal or less than this value. If further model training ceases to provide any improvements, it will stop without using the full budget and the metadata.successfulStopReason will be `model-converged`. Note, node_hour = actual_hour * number_of_nodes_involved. For modelType `cloud`(default), the budget must be between 8,000 and 800,000 milli node hours, inclusive. The default value is 192,000 which represents one day in wall time, considering 8 nodes are used. For model types `mobile-tf-low-latency-1`, `mobile-tf-versatile-1`, `mobile-tf-high-accuracy-1`, the training budget must be between 1,000 and 100,000 milli node hours, inclusive. The default value is 24,000 which represents one day in wall time on a single node that is used.
int64 budget_milli_node_hours = 3;getBudgetMilliNodeHours in interface AutoMlImageClassificationInputsOrBuilderpublic boolean getDisableEarlyStopping()
Use the entire training budget. This disables the early stopping feature. When false the early stopping feature is enabled, which means that AutoML Image Classification might stop training before the entire training budget has been used.
bool disable_early_stopping = 4;getDisableEarlyStopping in interface AutoMlImageClassificationInputsOrBuilderpublic boolean getMultiLabel()
If false, a single-label (multi-class) Model will be trained (i.e. assuming that for each image just up to one annotation may be applicable). If true, a multi-label Model will be trained (i.e. assuming that for each image multiple annotations may be applicable).
bool multi_label = 5;getMultiLabel in interface AutoMlImageClassificationInputsOrBuilderpublic 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 AutoMlImageClassificationInputs parseFrom(ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static AutoMlImageClassificationInputs parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static AutoMlImageClassificationInputs parseFrom(com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static AutoMlImageClassificationInputs parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static AutoMlImageClassificationInputs parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static AutoMlImageClassificationInputs parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static AutoMlImageClassificationInputs parseFrom(InputStream input) throws IOException
IOExceptionpublic static AutoMlImageClassificationInputs parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic static AutoMlImageClassificationInputs parseDelimitedFrom(InputStream input) throws IOException
IOExceptionpublic static AutoMlImageClassificationInputs parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic static AutoMlImageClassificationInputs parseFrom(com.google.protobuf.CodedInputStream input) throws IOException
IOExceptionpublic static AutoMlImageClassificationInputs parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic AutoMlImageClassificationInputs.Builder newBuilderForType()
newBuilderForType in interface com.google.protobuf.MessagenewBuilderForType in interface com.google.protobuf.MessageLitepublic static AutoMlImageClassificationInputs.Builder newBuilder()
public static AutoMlImageClassificationInputs.Builder newBuilder(AutoMlImageClassificationInputs prototype)
public AutoMlImageClassificationInputs.Builder toBuilder()
toBuilder in interface com.google.protobuf.MessagetoBuilder in interface com.google.protobuf.MessageLiteprotected AutoMlImageClassificationInputs.Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
newBuilderForType in class com.google.protobuf.GeneratedMessageV3public static AutoMlImageClassificationInputs getDefaultInstance()
public static com.google.protobuf.Parser<AutoMlImageClassificationInputs> parser()
public com.google.protobuf.Parser<AutoMlImageClassificationInputs> getParserForType()
getParserForType in interface com.google.protobuf.MessagegetParserForType in interface com.google.protobuf.MessageLitegetParserForType in class com.google.protobuf.GeneratedMessageV3public AutoMlImageClassificationInputs getDefaultInstanceForType()
getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilderCopyright © 2024 Google LLC. All rights reserved.