Class AutoMlImageObjectDetectionInputs.Builder (3.50.0)

public static final class AutoMlImageObjectDetectionInputs.Builder extends GeneratedMessageV3.Builder<AutoMlImageObjectDetectionInputs.Builder> implements AutoMlImageObjectDetectionInputsOrBuilder

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public AutoMlImageObjectDetectionInputs.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
AutoMlImageObjectDetectionInputs.Builder
Overrides

build()

public AutoMlImageObjectDetectionInputs build()
Returns
Type Description
AutoMlImageObjectDetectionInputs

buildPartial()

public AutoMlImageObjectDetectionInputs buildPartial()
Returns
Type Description
AutoMlImageObjectDetectionInputs

clear()

public AutoMlImageObjectDetectionInputs.Builder clear()
Returns
Type Description
AutoMlImageObjectDetectionInputs.Builder
Overrides

clearBudgetMilliNodeHours()

public AutoMlImageObjectDetectionInputs.Builder clearBudgetMilliNodeHours()

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 20,000 and 900,000 milli node hours, inclusive. The default value is 216,000 which represents one day in wall time, considering 9 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 = 2;

Returns
Type Description
AutoMlImageObjectDetectionInputs.Builder

This builder for chaining.

clearDisableEarlyStopping()

public AutoMlImageObjectDetectionInputs.Builder clearDisableEarlyStopping()

Use the entire training budget. This disables the early stopping feature. When false the early stopping feature is enabled, which means that AutoML Image Object Detection might stop training before the entire training budget has been used.

bool disable_early_stopping = 3;

Returns
Type Description
AutoMlImageObjectDetectionInputs.Builder

This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public AutoMlImageObjectDetectionInputs.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Name Description
field FieldDescriptor
Returns
Type Description
AutoMlImageObjectDetectionInputs.Builder
Overrides

clearModelType()

public AutoMlImageObjectDetectionInputs.Builder clearModelType()

.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;

Returns
Type Description
AutoMlImageObjectDetectionInputs.Builder

This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public AutoMlImageObjectDetectionInputs.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
AutoMlImageObjectDetectionInputs.Builder
Overrides

clone()

public AutoMlImageObjectDetectionInputs.Builder clone()
Returns
Type Description
AutoMlImageObjectDetectionInputs.Builder
Overrides

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 20,000 and 900,000 milli node hours, inclusive. The default value is 216,000 which represents one day in wall time, considering 9 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 = 2;

Returns
Type Description
long

The budgetMilliNodeHours.

getDefaultInstanceForType()

public AutoMlImageObjectDetectionInputs getDefaultInstanceForType()
Returns
Type Description
AutoMlImageObjectDetectionInputs

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
Descriptor
Overrides

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 Object Detection might stop training before the entire training budget has been used.

bool disable_early_stopping = 3;

Returns
Type Description
boolean

The disableEarlyStopping.

getModelType()

public AutoMlImageObjectDetectionInputs.ModelType getModelType()

.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;

Returns
Type Description
AutoMlImageObjectDetectionInputs.ModelType

The modelType.

getModelTypeValue()

public int getModelTypeValue()

.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;

Returns
Type Description
int

The enum numeric value on the wire for modelType.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeFrom(AutoMlImageObjectDetectionInputs other)

public AutoMlImageObjectDetectionInputs.Builder mergeFrom(AutoMlImageObjectDetectionInputs other)
Parameter
Name Description
other AutoMlImageObjectDetectionInputs
Returns
Type Description
AutoMlImageObjectDetectionInputs.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public AutoMlImageObjectDetectionInputs.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
AutoMlImageObjectDetectionInputs.Builder
Overrides
Exceptions
Type Description
IOException

mergeFrom(Message other)

public AutoMlImageObjectDetectionInputs.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
AutoMlImageObjectDetectionInputs.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final AutoMlImageObjectDetectionInputs.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
AutoMlImageObjectDetectionInputs.Builder
Overrides

setBudgetMilliNodeHours(long value)

public AutoMlImageObjectDetectionInputs.Builder setBudgetMilliNodeHours(long value)

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 20,000 and 900,000 milli node hours, inclusive. The default value is 216,000 which represents one day in wall time, considering 9 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 = 2;

Parameter
Name Description
value long

The budgetMilliNodeHours to set.

Returns
Type Description
AutoMlImageObjectDetectionInputs.Builder

This builder for chaining.

setDisableEarlyStopping(boolean value)

public AutoMlImageObjectDetectionInputs.Builder setDisableEarlyStopping(boolean value)

Use the entire training budget. This disables the early stopping feature. When false the early stopping feature is enabled, which means that AutoML Image Object Detection might stop training before the entire training budget has been used.

bool disable_early_stopping = 3;

Parameter
Name Description
value boolean

The disableEarlyStopping to set.

Returns
Type Description
AutoMlImageObjectDetectionInputs.Builder

This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public AutoMlImageObjectDetectionInputs.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
AutoMlImageObjectDetectionInputs.Builder
Overrides

setModelType(AutoMlImageObjectDetectionInputs.ModelType value)

public AutoMlImageObjectDetectionInputs.Builder setModelType(AutoMlImageObjectDetectionInputs.ModelType value)

.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;

Parameter
Name Description
value AutoMlImageObjectDetectionInputs.ModelType

The modelType to set.

Returns
Type Description
AutoMlImageObjectDetectionInputs.Builder

This builder for chaining.

setModelTypeValue(int value)

public AutoMlImageObjectDetectionInputs.Builder setModelTypeValue(int value)

.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType model_type = 1;

Parameter
Name Description
value int

The enum numeric value on the wire for modelType to set.

Returns
Type Description
AutoMlImageObjectDetectionInputs.Builder

This builder for chaining.

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public AutoMlImageObjectDetectionInputs.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Name Description
field FieldDescriptor
index int
value Object
Returns
Type Description
AutoMlImageObjectDetectionInputs.Builder
Overrides

setUnknownFields(UnknownFieldSet unknownFields)

public final AutoMlImageObjectDetectionInputs.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
AutoMlImageObjectDetectionInputs.Builder
Overrides