Class AutoMlImageClassificationInputs (3.31.0)

public final class AutoMlImageClassificationInputs extends GeneratedMessageV3 implements AutoMlImageClassificationInputsOrBuilder

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassificationInputs

Inheritance

Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > AutoMlImageClassificationInputs

Static Fields

BASE_MODEL_ID_FIELD_NUMBER

public static final int BASE_MODEL_ID_FIELD_NUMBER
Field Value
TypeDescription
int

BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER

public static final int BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER
Field Value
TypeDescription
int

DISABLE_EARLY_STOPPING_FIELD_NUMBER

public static final int DISABLE_EARLY_STOPPING_FIELD_NUMBER
Field Value
TypeDescription
int

MODEL_TYPE_FIELD_NUMBER

public static final int MODEL_TYPE_FIELD_NUMBER
Field Value
TypeDescription
int

MULTI_LABEL_FIELD_NUMBER

public static final int MULTI_LABEL_FIELD_NUMBER
Field Value
TypeDescription
int

Static Methods

getDefaultInstance()

public static AutoMlImageClassificationInputs getDefaultInstance()
Returns
TypeDescription
AutoMlImageClassificationInputs

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

newBuilder()

public static AutoMlImageClassificationInputs.Builder newBuilder()
Returns
TypeDescription
AutoMlImageClassificationInputs.Builder

newBuilder(AutoMlImageClassificationInputs prototype)

public static AutoMlImageClassificationInputs.Builder newBuilder(AutoMlImageClassificationInputs prototype)
Parameter
NameDescription
prototypeAutoMlImageClassificationInputs
Returns
TypeDescription
AutoMlImageClassificationInputs.Builder

parseDelimitedFrom(InputStream input)

public static AutoMlImageClassificationInputs parseDelimitedFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
AutoMlImageClassificationInputs
Exceptions
TypeDescription
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static AutoMlImageClassificationInputs parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
AutoMlImageClassificationInputs
Exceptions
TypeDescription
IOException

parseFrom(byte[] data)

public static AutoMlImageClassificationInputs parseFrom(byte[] data)
Parameter
NameDescription
databyte[]
Returns
TypeDescription
AutoMlImageClassificationInputs
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static AutoMlImageClassificationInputs parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
databyte[]
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
AutoMlImageClassificationInputs
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data)

public static AutoMlImageClassificationInputs parseFrom(ByteString data)
Parameter
NameDescription
dataByteString
Returns
TypeDescription
AutoMlImageClassificationInputs
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static AutoMlImageClassificationInputs parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteString
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
AutoMlImageClassificationInputs
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static AutoMlImageClassificationInputs parseFrom(CodedInputStream input)
Parameter
NameDescription
inputCodedInputStream
Returns
TypeDescription
AutoMlImageClassificationInputs
Exceptions
TypeDescription
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static AutoMlImageClassificationInputs parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
AutoMlImageClassificationInputs
Exceptions
TypeDescription
IOException

parseFrom(InputStream input)

public static AutoMlImageClassificationInputs parseFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
AutoMlImageClassificationInputs
Exceptions
TypeDescription
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static AutoMlImageClassificationInputs parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
AutoMlImageClassificationInputs
Exceptions
TypeDescription
IOException

parseFrom(ByteBuffer data)

public static AutoMlImageClassificationInputs parseFrom(ByteBuffer data)
Parameter
NameDescription
dataByteBuffer
Returns
TypeDescription
AutoMlImageClassificationInputs
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static AutoMlImageClassificationInputs parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteBuffer
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
AutoMlImageClassificationInputs
Exceptions
TypeDescription
InvalidProtocolBufferException

parser()

public static Parser<AutoMlImageClassificationInputs> parser()
Returns
TypeDescription
Parser<AutoMlImageClassificationInputs>

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
NameDescription
objObject
Returns
TypeDescription
boolean
Overrides

getBaseModelId()

public 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;

Returns
TypeDescription
String

The baseModelId.

getBaseModelIdBytes()

public 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;

Returns
TypeDescription
ByteString

The bytes for baseModelId.

getBudgetMilliNodeHours()

public 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;

Returns
TypeDescription
long

The budgetMilliNodeHours.

getDefaultInstanceForType()

public AutoMlImageClassificationInputs getDefaultInstanceForType()
Returns
TypeDescription
AutoMlImageClassificationInputs

getDisableEarlyStopping()

public 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;

Returns
TypeDescription
boolean

The disableEarlyStopping.

getModelType()

public AutoMlImageClassificationInputs.ModelType getModelType()

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType model_type = 1;

Returns
TypeDescription
AutoMlImageClassificationInputs.ModelType

The modelType.

getModelTypeValue()

public int getModelTypeValue()

.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType model_type = 1;

Returns
TypeDescription
int

The enum numeric value on the wire for modelType.

getMultiLabel()

public 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;

Returns
TypeDescription
boolean

The multiLabel.

getParserForType()

public Parser<AutoMlImageClassificationInputs> getParserForType()
Returns
TypeDescription
Parser<AutoMlImageClassificationInputs>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
TypeDescription
int
Overrides

hashCode()

public int hashCode()
Returns
TypeDescription
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

newBuilderForType()

public AutoMlImageClassificationInputs.Builder newBuilderForType()
Returns
TypeDescription
AutoMlImageClassificationInputs.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected AutoMlImageClassificationInputs.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
NameDescription
parentBuilderParent
Returns
TypeDescription
AutoMlImageClassificationInputs.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
NameDescription
unusedUnusedPrivateParameter
Returns
TypeDescription
Object
Overrides

toBuilder()

public AutoMlImageClassificationInputs.Builder toBuilder()
Returns
TypeDescription
AutoMlImageClassificationInputs.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
NameDescription
outputCodedOutputStream
Overrides
Exceptions
TypeDescription
IOException