Interface AutoMlImageObjectDetectionInputsOrBuilder (3.56.0)

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public interface AutoMlImageObjectDetectionInputsOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getBudgetMilliNodeHours()

public abstract 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.

getDisableEarlyStopping()

public abstract 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 abstract AutoMlImageObjectDetectionInputs.ModelType getModelType()

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

Returns
Type	Description
AutoMlImageObjectDetectionInputs.ModelType	The modelType.

getModelTypeValue()

public abstract int getModelTypeValue()

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

Returns
Type	Description
int	The enum numeric value on the wire for modelType.