com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition

Class AutoMlImageClassificationInputs.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

com.google.protobuf.AbstractMessage.Builder<BuilderT>

com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageClassificationInputs.Builder>

com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassificationInputs.Builder

All Implemented Interfaces:

AutoMlImageClassificationInputsOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable

Enclosing class:

AutoMlImageClassificationInputs

public static final class AutoMlImageClassificationInputs.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageClassificationInputs.Builder>
implements AutoMlImageClassificationInputsOrBuilder

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

Method Summary

Modifier and Type	Method and Description
AutoMlImageClassificationInputs.Builder	addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
AutoMlImageClassificationInputs	build()
AutoMlImageClassificationInputs	buildPartial()
AutoMlImageClassificationInputs.Builder	clear()
AutoMlImageClassificationInputs.Builder	clearBaseModelId() The ID of the `base` model.
AutoMlImageClassificationInputs.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.
AutoMlImageClassificationInputs.Builder	clearDisableEarlyStopping() Use the entire training budget.
AutoMlImageClassificationInputs.Builder	clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
AutoMlImageClassificationInputs.Builder	clearModelType() .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType model_type = 1;
AutoMlImageClassificationInputs.Builder	clearMultiLabel() If false, a single-label (multi-class) Model will be trained (i.e.
AutoMlImageClassificationInputs.Builder	clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
AutoMlImageClassificationInputs.Builder	clone()
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. 1,000 value in this field means 1 node hour.
AutoMlImageClassificationInputs	getDefaultInstanceForType()
static com.google.protobuf.Descriptors.Descriptor	getDescriptor()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType()
boolean	getDisableEarlyStopping() Use the entire training budget.
AutoMlImageClassificationInputs.ModelType	getModelType() .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType model_type = 1;
int	getModelTypeValue() .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType model_type = 1;
boolean	getMultiLabel() If false, a single-label (multi-class) Model will be trained (i.e.
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
boolean	isInitialized()
AutoMlImageClassificationInputs.Builder	mergeFrom(AutoMlImageClassificationInputs other)
AutoMlImageClassificationInputs.Builder	mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
AutoMlImageClassificationInputs.Builder	mergeFrom(com.google.protobuf.Message other)
AutoMlImageClassificationInputs.Builder	mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
AutoMlImageClassificationInputs.Builder	setBaseModelId(String value) The ID of the `base` model.
AutoMlImageClassificationInputs.Builder	setBaseModelIdBytes(com.google.protobuf.ByteString value) The ID of the `base` model.
AutoMlImageClassificationInputs.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.
AutoMlImageClassificationInputs.Builder	setDisableEarlyStopping(boolean value) Use the entire training budget.
AutoMlImageClassificationInputs.Builder	setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
AutoMlImageClassificationInputs.Builder	setModelType(AutoMlImageClassificationInputs.ModelType value) .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType model_type = 1;
AutoMlImageClassificationInputs.Builder	setModelTypeValue(int value) .google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType model_type = 1;
AutoMlImageClassificationInputs.Builder	setMultiLabel(boolean value) If false, a single-label (multi-class) Model will be trained (i.e.
AutoMlImageClassificationInputs.Builder	setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
AutoMlImageClassificationInputs.Builder	setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Methods inherited from class com.google.protobuf.GeneratedMessageV3.Builder

getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setUnknownFieldSetBuilder, setUnknownFieldsProto3

Methods inherited from class com.google.protobuf.AbstractMessage.Builder

findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder

addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, newUninitializedMessageException

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.Message.Builder

mergeDelimitedFrom, mergeDelimitedFrom

Method Detail

getDescriptor

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

internalGetFieldAccessorTable

protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageClassificationInputs.Builder>

clear

public AutoMlImageClassificationInputs.Builder clear()

Specified by:

clear in interface com.google.protobuf.Message.Builder

Specified by:

clear in interface com.google.protobuf.MessageLite.Builder

Overrides:

clear in class com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageClassificationInputs.Builder>

getDescriptorForType

public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()

Specified by:

getDescriptorForType in interface com.google.protobuf.Message.Builder

Specified by:

getDescriptorForType in interface com.google.protobuf.MessageOrBuilder

Overrides:

getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageClassificationInputs.Builder>

getDefaultInstanceForType

public AutoMlImageClassificationInputs getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build

public AutoMlImageClassificationInputs build()

Specified by:

build in interface com.google.protobuf.Message.Builder

Specified by:

build in interface com.google.protobuf.MessageLite.Builder

buildPartial

public AutoMlImageClassificationInputs buildPartial()

Specified by:

buildPartial in interface com.google.protobuf.Message.Builder

Specified by:

buildPartial in interface com.google.protobuf.MessageLite.Builder

clone

public AutoMlImageClassificationInputs.Builder clone()

Specified by:

clone in interface com.google.protobuf.Message.Builder

Specified by:

clone in interface com.google.protobuf.MessageLite.Builder

Overrides:

clone in class com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageClassificationInputs.Builder>

setField

public AutoMlImageClassificationInputs.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                        Object value)

Specified by:

setField in interface com.google.protobuf.Message.Builder

Overrides:

setField in class com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageClassificationInputs.Builder>

clearField

public AutoMlImageClassificationInputs.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)

Specified by:

clearField in interface com.google.protobuf.Message.Builder

Overrides:

clearField in class com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageClassificationInputs.Builder>

clearOneof

public AutoMlImageClassificationInputs.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)

Specified by:

clearOneof in interface com.google.protobuf.Message.Builder

Overrides:

clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageClassificationInputs.Builder>

setRepeatedField

public AutoMlImageClassificationInputs.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                                int index,
                                                                Object value)

Specified by:

setRepeatedField in interface com.google.protobuf.Message.Builder

Overrides:

setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageClassificationInputs.Builder>

addRepeatedField

public AutoMlImageClassificationInputs.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                                Object value)

Specified by:

addRepeatedField in interface com.google.protobuf.Message.Builder

Overrides:

addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageClassificationInputs.Builder>

mergeFrom

public AutoMlImageClassificationInputs.Builder mergeFrom(com.google.protobuf.Message other)

Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<AutoMlImageClassificationInputs.Builder>

mergeFrom

public AutoMlImageClassificationInputs.Builder mergeFrom(AutoMlImageClassificationInputs other)

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageClassificationInputs.Builder>

mergeFrom

public AutoMlImageClassificationInputs.Builder mergeFrom(com.google.protobuf.CodedInputStream input,
                                                         com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                  throws IOException

Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Specified by:

mergeFrom in interface com.google.protobuf.MessageLite.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<AutoMlImageClassificationInputs.Builder>

Throws:

IOException

getModelTypeValue

public int getModelTypeValue()

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

Specified by:

getModelTypeValue in interface AutoMlImageClassificationInputsOrBuilder

Returns:

The enum numeric value on the wire for modelType.

setModelTypeValue

public AutoMlImageClassificationInputs.Builder setModelTypeValue(int value)

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

Parameters:

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

Returns:

This builder for chaining.

getModelType

public AutoMlImageClassificationInputs.ModelType getModelType()

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

Specified by:

getModelType in interface AutoMlImageClassificationInputsOrBuilder

Returns:

The modelType.

setModelType

public AutoMlImageClassificationInputs.Builder setModelType(AutoMlImageClassificationInputs.ModelType value)

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

Parameters:

value - The modelType to set.

Returns:

This builder for chaining.

clearModelType

public AutoMlImageClassificationInputs.Builder clearModelType()

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

Returns:

This builder for chaining.

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;

Specified by:

getBaseModelId in interface AutoMlImageClassificationInputsOrBuilder

Returns:

The baseModelId.

getBaseModelIdBytes

public 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;

Specified by:

getBaseModelIdBytes in interface AutoMlImageClassificationInputsOrBuilder

Returns:

The bytes for baseModelId.

setBaseModelId

public AutoMlImageClassificationInputs.Builder setBaseModelId(String value)

 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;

Parameters:

value - The baseModelId to set.

Returns:

This builder for chaining.

clearBaseModelId

public AutoMlImageClassificationInputs.Builder clearBaseModelId()

 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:

This builder for chaining.

setBaseModelIdBytes

public AutoMlImageClassificationInputs.Builder setBaseModelIdBytes(com.google.protobuf.ByteString value)

 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;

Parameters:

value - The bytes for baseModelId to set.

Returns:

This builder for chaining.

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;

Specified by:

getBudgetMilliNodeHours in interface AutoMlImageClassificationInputsOrBuilder

Returns:

The budgetMilliNodeHours.

setBudgetMilliNodeHours

public AutoMlImageClassificationInputs.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 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;

Parameters:

value - The budgetMilliNodeHours to set.

Returns:

This builder for chaining.

clearBudgetMilliNodeHours

public AutoMlImageClassificationInputs.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 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:

This builder for chaining.

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;

Specified by:

getDisableEarlyStopping in interface AutoMlImageClassificationInputsOrBuilder

Returns:

The disableEarlyStopping.

setDisableEarlyStopping

public AutoMlImageClassificationInputs.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 Classification might stop training before the entire
 training budget has been used.
 

bool disable_early_stopping = 4;

Parameters:

value - The disableEarlyStopping to set.

Returns:

This builder for chaining.

clearDisableEarlyStopping

public AutoMlImageClassificationInputs.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 Classification might stop training before the entire
 training budget has been used.
 

bool disable_early_stopping = 4;

Returns:

This builder for chaining.

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;

Specified by:

getMultiLabel in interface AutoMlImageClassificationInputsOrBuilder

Returns:

The multiLabel.

setMultiLabel

public AutoMlImageClassificationInputs.Builder setMultiLabel(boolean value)

 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;

Parameters:

value - The multiLabel to set.

Returns:

This builder for chaining.

clearMultiLabel

public AutoMlImageClassificationInputs.Builder clearMultiLabel()

 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:

This builder for chaining.

setUnknownFields

public final AutoMlImageClassificationInputs.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

setUnknownFields in interface com.google.protobuf.Message.Builder

Overrides:

setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageClassificationInputs.Builder>

mergeUnknownFields

public final AutoMlImageClassificationInputs.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

mergeUnknownFields in interface com.google.protobuf.Message.Builder

Overrides:

mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<AutoMlImageClassificationInputs.Builder>