class_docstr: Utility class to help create wrapper classes from Java/Scala
  implementations of pipeline components.
class_docstr_tok: ["Utility","class","to","help","create","wrapper","classes","from","Java\/Scala","implementations","of","pipeline","components","."]
docstr: Returns an empty Java ParamMap reference.
docstr_tok: ["Returns","an","empty","Java","ParamMap","reference","."]
code: def _empty_java_param_map() -> "JavaObject":
      """
      Returns an empty Java ParamMap reference.
      """
      return _jvm().org.apache.spark.ml.param.ParamMap()
  
imports: from abc import ABCMeta, abstractmethod
  from typing import Any, Generic, Optional, List, Type, TypeVar, TYPE_CHECKING
  from pyspark import since
  from pyspark import SparkContext
  from pyspark.sql import DataFrame
  from pyspark.ml import Estimator, Predictor, PredictionModel, Transformer, Model
  from pyspark.ml.base import _PredictorParams
  from pyspark.ml.param import Param, Params
  from pyspark.ml.util import _jvm
  from pyspark.ml.common import inherit_doc, _java2py, _py2java
label_desc: Use image node_id 7 for calling the JavaParams obj's underlying member method code with example usage: obj._empty_java_param_map() and returns: _jvm