From 57cd1e86d1d450f85fc9e296aff498a940452113 Mon Sep 17 00:00:00 2001 From: Xiangrui Meng Date: Wed, 15 Apr 2015 23:49:42 -0700 Subject: [SPARK-6893][ML] default pipeline parameter handling in python Same as #5431 but for Python. jkbradley Author: Xiangrui Meng Closes #5534 from mengxr/SPARK-6893 and squashes the following commits: d3b519b [Xiangrui Meng] address comments ebaccc6 [Xiangrui Meng] style update fce244e [Xiangrui Meng] update explainParams with test 4d6b07a [Xiangrui Meng] add tests 5294500 [Xiangrui Meng] update default param handling in python --- python/pyspark/ml/classification.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) (limited to 'python/pyspark/ml/classification.py') diff --git a/python/pyspark/ml/classification.py b/python/pyspark/ml/classification.py index 7f42de531f..d7bc09fd77 100644 --- a/python/pyspark/ml/classification.py +++ b/python/pyspark/ml/classification.py @@ -59,6 +59,7 @@ class LogisticRegression(JavaEstimator, HasFeaturesCol, HasLabelCol, HasPredicti maxIter=100, regParam=0.1) """ super(LogisticRegression, self).__init__() + self._setDefault(maxIter=100, regParam=0.1) kwargs = self.__init__._input_kwargs self.setParams(**kwargs) @@ -71,7 +72,7 @@ class LogisticRegression(JavaEstimator, HasFeaturesCol, HasLabelCol, HasPredicti Sets params for logistic regression. """ kwargs = self.setParams._input_kwargs - return self._set_params(**kwargs) + return self._set(**kwargs) def _create_model(self, java_model): return LogisticRegressionModel(java_model) -- cgit v1.2.3