class_docstr: Base class for :py:class:`Estimator`s that wrap Java/Scala
  implementations.
class_docstr_tok: ["Base","class","for",":","py",":","class",":","`","Estimator","`","s","that","wrap","Java\/Scala","implementations","."]
code: def _fit(self, dataset: DataFrame) -> JM:
      java_model = self._fit_java(dataset)
      model = self._create_model(java_model)
      return self._copyValues(model)
  
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 3 for calling the JavaEstimator obj's underlying member method code with example usage: obj._fit(dataset) and returns: self