@keyword_only
def __init__(self, featuresCol='features', labelCol='label', predictionCol='prediction', weightCol=None, isotonic=True, featureIndex=0):
    '\n        __init__(self, featuresCol="features", labelCol="label", predictionCol="prediction",                  weightCol=None, isotonic=True, featureIndex=0):\n        '
    super(IsotonicRegression, self).__init__()
    self._java_obj = self._new_java_obj('org.apache.spark.ml.regression.IsotonicRegression', self.uid)
    self._setDefault(isotonic=True, featureIndex=0)
    kwargs = self._input_kwargs
    self.setParams(**kwargs)
__init__(self, featuresCol="features", labelCol="label", predictionCol="prediction",                  weightCol=None, isotonic=True, featureIndex=0):
@keyword_only
def __init__(self, featuresCol='features', labelCol='label', predictionCol='prediction', weightCol=None, isotonic=True, featureIndex=0):
    '\n        \n        '
    super(IsotonicRegression, self).__init__()
    self._java_obj = self._new_java_obj('org.apache.spark.ml.regression.IsotonicRegression', self.uid)
    self._setDefault(isotonic=True, featureIndex=0)
    kwargs = self._input_kwargs
    self.setParams(**kwargs)