@keyword_only
def __init__(self, labelCol='label', featuresCol='features', predictionCol='prediction', family='gaussian', link=None, fitIntercept=True, maxIter=25, tol=1e-06, regParam=0.0, weightCol=None, solver='irls', linkPredictionCol=None, variancePower=0.0, linkPower=None, offsetCol=None, aggregationDepth=2):
    '\n        __init__(self, labelCol="label", featuresCol="features", predictionCol="prediction",                  family="gaussian", link=None, fitIntercept=True, maxIter=25, tol=1e-6,                  regParam=0.0, weightCol=None, solver="irls", linkPredictionCol=None,                  variancePower=0.0, linkPower=None, offsetCol=None, aggregationDepth=2)\n        '
    super(GeneralizedLinearRegression, self).__init__()
    self._java_obj = self._new_java_obj('org.apache.spark.ml.regression.GeneralizedLinearRegression', self.uid)
    self._setDefault(family='gaussian', maxIter=25, tol=1e-06, regParam=0.0, solver='irls', variancePower=0.0, aggregationDepth=2)
    kwargs = self._input_kwargs
    self.setParams(**kwargs)
__init__(self, labelCol="label", featuresCol="features", predictionCol="prediction",                  family="gaussian", link=None, fitIntercept=True, maxIter=25, tol=1e-6,                  regParam=0.0, weightCol=None, solver="irls", linkPredictionCol=None,                  variancePower=0.0, linkPower=None, offsetCol=None, aggregationDepth=2)
@keyword_only
def __init__(self, labelCol='label', featuresCol='features', predictionCol='prediction', family='gaussian', link=None, fitIntercept=True, maxIter=25, tol=1e-06, regParam=0.0, weightCol=None, solver='irls', linkPredictionCol=None, variancePower=0.0, linkPower=None, offsetCol=None, aggregationDepth=2):
    '\n        \n        '
    super(GeneralizedLinearRegression, self).__init__()
    self._java_obj = self._new_java_obj('org.apache.spark.ml.regression.GeneralizedLinearRegression', self.uid)
    self._setDefault(family='gaussian', maxIter=25, tol=1e-06, regParam=0.0, solver='irls', variancePower=0.0, aggregationDepth=2)
    kwargs = self._input_kwargs
    self.setParams(**kwargs)