code: def __load_bigdl_model(self, path, bigdl_type="float"):
      from bigdl.dllib.utils.common import callBigDlFunc
      from bigdl.dllib.nn.layer import Layer
  
      jmodel = callBigDlFunc(bigdl_type, "loadBigDL", path)
      return Layer.of(jmodel)
  
imports: from bigdl.orca.learn.metrics import Metric
  from bigdl.orca.learn.utils import bigdl_metric_results_to_dict
  from bigdl.dllib.nnframes import NNEstimator, NNModel
  from bigdl.dllib.estimator import Estimator
  from bigdl.orca.learn.spark_estimator import Estimator
  from bigdl.orca.data import SparkXShards
  from bigdl.dllib.optim.optimizer import MaxEpoch
  from bigdl.dllib.feature.common import FeatureSet
  from bigdl.orca.learn.metrics import Accuracy
  from pyspark.sql.dataframe import DataFrame
  from bigdl.dllib.utils.log4Error import *
label_desc: Use image node_id 8 for calling the BigDLEstimator obj's underlying member method code with example usage: obj.__load_bigdl_model(path, bigdl_type) and returns: Layer