fix style

Author: actuaryzhang

python/pyspark/ml/regression.py

@@ -1376,9 +1376,9 @@ class GeneralizedLinearRegression(JavaEstimator, HasLabelCol, HasFeaturesCol, Ha
                       typeConverter=TypeConverters.toFloat)
     solver = Param(Params._dummy(), "solver", "The solver algorithm for optimization. Supported " +
                    "options: irls.", typeConverter=TypeConverters.toString)
-    offsetCol = Param(Params._dummy(), "offsetCol", "The offset column name. If this is not set or " +
-                   "empty, we treat all instance offsets as 0.0",
-                   typeConverter=TypeConverters.toString)
+    offsetCol = Param(Params._dummy(), "offsetCol", "The offset column name. If this is not set " +
+                      "or empty, we treat all instance offsets as 0.0",
+                      typeConverter=TypeConverters.toString)
 
     @keyword_only
     def __init__(self, labelCol="label", featuresCol="features", predictionCol="prediction",

python/pyspark/ml/tests.py

@@ -1295,9 +1295,9 @@ def test_offset(self):
 
         df = self.spark.createDataFrame(
             [(0.2, 1.0, 2.0, Vectors.dense(0.0, 5.0)),
-            (0.5, 2.1, 0.5, Vectors.dense(1.0, 2.0)),
-            (0.9, 0.4, 1.0, Vectors.dense(2.0, 1.0)),
-            (0.7, 0.7, 0.0, Vectors.dense(3.0, 3.0))], ["label", "weight", "offset", "features"])
+             (0.5, 2.1, 0.5, Vectors.dense(1.0, 2.0)),
+             (0.9, 0.4, 1.0, Vectors.dense(2.0, 1.0)),
+             (0.7, 0.7, 0.0, Vectors.dense(3.0, 3.0))], ["label", "weight", "offset", "features"])
 
         glr = GeneralizedLinearRegression(family="poisson", weightCol="weight", offsetCol="offset")
         model = glr.fit(df)