docstr: Load the model from a native LightGBM text file.
code: def loadNativeModelFromFile(filename):
      """
      Load the model from a native LightGBM text file.
      """
      ctx = SparkContext._active_spark_context
      loader = (
          ctx._jvm.com.microsoft.azure.synapse.ml.lightgbm.LightGBMRankerModel
      )
      java_model = loader.loadNativeModelFromFile(filename)
      return JavaParams._from_java(java_model)
  
file_path: SynapseML/lightgbm/src/main/python/synapse/ml/lightgbm/LightGBMRankerModel.py
imports: from synapse.ml.lightgbm._LightGBMRankerModel import _LightGBMRankerModel
  from synapse.ml.lightgbm.mixin import LightGBMModelMixin
  from pyspark import SparkContext
  from pyspark.ml.common import inherit_doc
  from pyspark.ml.wrapper import JavaParams
  from synapse.ml.core.serialize.java_params_patch import *
label_desc: Use image node_id 1 for calling the LightGBMRankerModel obj's underlying member method code with example usage: obj.loadNativeModelFromFile(filename) and returns: JavaParams