docstr: Get the feature importances as a list.  The importance_type can be "split" or "gain".
docstr_tok: ["Get","the","feature","importances","as","a","list",".","The","importance_type","can","be","``","split","''","or","``","gain","''","."]
code: def getFeatureImportances(self, importance_type="split"):
      """
      Get the feature importances as a list.  The importance_type can be "split" or "gain".
      """
      return list(self._java_obj.getFeatureImportances(importance_type))
  
file_path: SynapseML/lightgbm/src/main/python/synapse/ml/lightgbm/mixin.py
imports: from pyspark.ml.linalg import SparseVector, DenseVector
  from pyspark.ml.common import inherit_doc
  from synapse.ml.core.serialize.java_params_patch import *
label_desc: Use image node_id 3 for calling the LightGBMModelMixin obj's underlying member method code with example usage: obj.getFeatureImportances(importance_type) and returns: list