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: Makes a Java param pair.
docstr_tok: ["Makes","a","Java","param","pair","."]
code: def _make_java_param_pair(
      self, param: Param[T], value: T
  ) -> "JavaObject":
      """
      Makes a Java param pair.
      """
      sc = SparkContext._active_spark_context
      assert sc is not None and self._java_obj is not None
  
      param = self._resolveParam(param)
      java_param = self._java_obj.getParam(param.name)
      java_value = _py2java(sc, value)
      return java_param.w(java_value)
  
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 1 for calling the JavaParams obj's underlying member method code with example usage: obj._make_java_param_pair(param, value) and returns: java_param