diff options
Diffstat (limited to 'python/pyspark/ml/regression.py')
| -rw-r--r-- | python/pyspark/ml/regression.py | 11 |
1 files changed, 5 insertions, 6 deletions
diff --git a/python/pyspark/ml/regression.py b/python/pyspark/ml/regression.py index 25640b1f85..e21dd83923 100644 --- a/python/pyspark/ml/regression.py +++ b/python/pyspark/ml/regression.py @@ -1303,17 +1303,16 @@ class GeneralizedLinearRegression(JavaEstimator, HasLabelCol, HasFeaturesCol, Ha @keyword_only def __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=""): + regParam=0.0, weightCol=None, solver="irls", linkPredictionCol=None): """ __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="") + regParam=0.0, weightCol=None, solver="irls", linkPredictionCol=None) """ 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-6, regParam=0.0, solver="irls", - linkPredictionCol="") + self._setDefault(family="gaussian", maxIter=25, tol=1e-6, regParam=0.0, solver="irls") kwargs = self.__init__._input_kwargs self.setParams(**kwargs) @@ -1321,11 +1320,11 @@ class GeneralizedLinearRegression(JavaEstimator, HasLabelCol, HasFeaturesCol, Ha @since("2.0.0") def setParams(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=""): + regParam=0.0, weightCol=None, solver="irls", linkPredictionCol=None): """ setParams(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="") + regParam=0.0, weightCol=None, solver="irls", linkPredictionCol=None) Sets params for generalized linear regression. """ kwargs = self.setParams._input_kwargs |