class_docstr: (Private) Specialization of :py:class:`MLReader` for :py:class:`JavaParams` types
class_docstr_tok: ["(","Private",")","Specialization","of",":","py",":","class",":","`","MLReader","`","for",":","py",":","class",":","`","JavaParams","`","types"]
docstr: Returns the full class name of the Java ML instance.
docstr_tok: ["Returns","the","full","class","name","of","the","Java","ML","instance","."]
code: def _java_loader_class(cls, clazz):
      """
      Returns the full class name of the Java ML instance.
      """
      return clazz.getJavaPackage()
  
file_path: SynapseML/core/src/main/python/synapse/ml/core/schema/Utils.py
imports: import sys
  from pyspark.ml.util import JavaMLReadable, JavaMLReader, MLReadable
  from pyspark.ml.wrapper import JavaParams
  from pyspark.ml.common import inherit_doc, _java2py
  from pyspark import SparkContext
label_desc: Use image node_id 2 for calling the JavaMMLReader obj's underlying member method code with example usage: obj._java_loader_class(cls, clazz) and returns: clazz