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public static final class AutoMlImageSegmentationInputs.Builder extends GeneratedMessage.Builder<AutoMlImageSegmentationInputs.Builder> implements AutoMlImageSegmentationInputsOrBuilderProtobuf type
google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs
Inheritance
java.lang.Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessage.Builder > AutoMlImageSegmentationInputs.BuilderImplements
AutoMlImageSegmentationInputsOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
Methods
build()
public AutoMlImageSegmentationInputs build()| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationInputs |
|
buildPartial()
public AutoMlImageSegmentationInputs buildPartial()| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationInputs |
|
clear()
public AutoMlImageSegmentationInputs.Builder clear()| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationInputs.Builder |
|
clearBaseModelId()
public AutoMlImageSegmentationInputs.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 = 3;
| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationInputs.Builder |
This builder for chaining. |
clearBudgetMilliNodeHours()
public AutoMlImageSegmentationInputs.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. Or
actaul_wall_clock_hours = train_budget_milli_node_hours /
(number_of_nodes_involved * 1000)
For modelType cloud-high-accuracy-1(default), the budget must be between
20,000 and 2,000,000 milli node hours, inclusive. The default value is
192,000 which represents one day in wall time
(1000 milli * 24 hours * 8 nodes).
int64 budget_milli_node_hours = 2;
| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationInputs.Builder |
This builder for chaining. |
clearModelType()
public AutoMlImageSegmentationInputs.Builder clearModelType()
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationInputs.Builder |
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 = 3;
| Returns | |
|---|---|
| Type | Description |
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 = 3;
| Returns | |
|---|---|
| Type | Description |
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. Or
actaul_wall_clock_hours = train_budget_milli_node_hours /
(number_of_nodes_involved * 1000)
For modelType cloud-high-accuracy-1(default), the budget must be between
20,000 and 2,000,000 milli node hours, inclusive. The default value is
192,000 which represents one day in wall time
(1000 milli * 24 hours * 8 nodes).
int64 budget_milli_node_hours = 2;
| Returns | |
|---|---|
| Type | Description |
long |
The budgetMilliNodeHours. |
getDefaultInstanceForType()
public AutoMlImageSegmentationInputs getDefaultInstanceForType()| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationInputs |
|
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()| Returns | |
|---|---|
| Type | Description |
Descriptor |
|
getModelType()
public AutoMlImageSegmentationInputs.ModelType getModelType()
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationInputs.ModelType |
The modelType. |
getModelTypeValue()
public int getModelTypeValue()
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
| Returns | |
|---|---|
| Type | Description |
int |
The enum numeric value on the wire for modelType. |
internalGetFieldAccessorTable()
protected GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()| Returns | |
|---|---|
| Type | Description |
FieldAccessorTable |
|
isInitialized()
public final boolean isInitialized()| Returns | |
|---|---|
| Type | Description |
boolean |
|
mergeFrom(AutoMlImageSegmentationInputs other)
public AutoMlImageSegmentationInputs.Builder mergeFrom(AutoMlImageSegmentationInputs other)| Parameter | |
|---|---|
| Name | Description |
other |
AutoMlImageSegmentationInputs |
| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationInputs.Builder |
|
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public AutoMlImageSegmentationInputs.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)| Parameters | |
|---|---|
| Name | Description |
input |
CodedInputStream |
extensionRegistry |
ExtensionRegistryLite |
| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationInputs.Builder |
|
| Exceptions | |
|---|---|
| Type | Description |
IOException |
|
mergeFrom(Message other)
public AutoMlImageSegmentationInputs.Builder mergeFrom(Message other)| Parameter | |
|---|---|
| Name | Description |
other |
Message |
| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationInputs.Builder |
|
setBaseModelId(String value)
public AutoMlImageSegmentationInputs.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 = 3;
| Parameter | |
|---|---|
| Name | Description |
value |
StringThe baseModelId to set. |
| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationInputs.Builder |
This builder for chaining. |
setBaseModelIdBytes(ByteString value)
public AutoMlImageSegmentationInputs.Builder setBaseModelIdBytes(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 = 3;
| Parameter | |
|---|---|
| Name | Description |
value |
ByteStringThe bytes for baseModelId to set. |
| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationInputs.Builder |
This builder for chaining. |
setBudgetMilliNodeHours(long value)
public AutoMlImageSegmentationInputs.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. Or
actaul_wall_clock_hours = train_budget_milli_node_hours /
(number_of_nodes_involved * 1000)
For modelType cloud-high-accuracy-1(default), the budget must be between
20,000 and 2,000,000 milli node hours, inclusive. The default value is
192,000 which represents one day in wall time
(1000 milli * 24 hours * 8 nodes).
int64 budget_milli_node_hours = 2;
| Parameter | |
|---|---|
| Name | Description |
value |
longThe budgetMilliNodeHours to set. |
| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationInputs.Builder |
This builder for chaining. |
setModelType(AutoMlImageSegmentationInputs.ModelType value)
public AutoMlImageSegmentationInputs.Builder setModelType(AutoMlImageSegmentationInputs.ModelType value)
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
| Parameter | |
|---|---|
| Name | Description |
value |
AutoMlImageSegmentationInputs.ModelTypeThe modelType to set. |
| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationInputs.Builder |
This builder for chaining. |
setModelTypeValue(int value)
public AutoMlImageSegmentationInputs.Builder setModelTypeValue(int value)
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
| Parameter | |
|---|---|
| Name | Description |
value |
intThe enum numeric value on the wire for modelType to set. |
| Returns | |
|---|---|
| Type | Description |
AutoMlImageSegmentationInputs.Builder |
This builder for chaining. |