pyspark/bigdl/models/lenet/utils.py
def validate_optimizer(optimizer, test_data, options):
    """
    Set validation and checkpoint for distributed optimizer.
    """
    optimizer.set_validation(
        batch_size=options.batchSize,
        val_rdd=test_data,
        trigger=EveryEpoch(),
        val_method=[Top1Accuracy()]
    )
    optimizer.set_checkpoint(EveryEpoch(), options.checkpointPath)
def validate_optimizer(optimizer, test_data, options):
    optimizer.set_validation(
        batch_size=options.batchSize,
        val_rdd=test_data,
        trigger=EveryEpoch(),
        val_method=[Top1Accuracy()]
    )
    optimizer.set_checkpoint(EveryEpoch(), options.checkpointPath)
def validate_optimizer ( optimizer , test_data , options ) : optimizer . set_validation ( batch_size = options . batchSize , val_rdd = test_data , trigger = EveryEpoch ( ) , val_method = [ Top1Accuracy ( ) ] ) optimizer . set_checkpoint ( EveryEpoch ( ) , options . checkpointPath )
Set validation and checkpoint for distributed optimizer.
Set validation and checkpoint for distributed optimizer .