[SPARK-12630] Fixed 'Allowed values' formatting of reg param to get r…

…id of Sphinx warnings
apache · Feb 12, 2016 · 91dc609 · 91dc609
1 parent bf8f8a0
commit 91dc609
Showing 1 changed file with 9 additions and 9 deletions.
diff --git a/python/pyspark/mllib/classification.py b/python/pyspark/mllib/classification.py
@@ -294,11 +294,11 @@ def train(cls, data, iterations=100, step=1.0, miniBatchFraction=1.0,
           (default: 0.01)
         :param regType:
           The type of regularizer used for training our model.
-          :Allowed values:
+          Allowed values:
+
             - "l1" for using L1 regularization
-            - "l2" for using L2 regularization
+            - "l2" for using L2 regularization (default)
             - None for no regularization
-          (default: "l2")
         :param intercept:
           Boolean parameter which indicates the use or not of the
           augmented representation for training data (i.e., whether bias
@@ -344,11 +344,11 @@ def train(cls, data, iterations=100, initialWeights=None, regParam=0.01, regType
           (default: 0.01)
         :param regType:
           The type of regularizer used for training our model.
-          :Allowed values:
+          Allowed values:
+
             - "l1" for using L1 regularization
-            - "l2" for using L2 regularization
+            - "l2" for using L2 regularization (default)
             - None for no regularization
-          (default: "l2")
         :param intercept:
           Boolean parameter which indicates the use or not of the
           augmented representation for training data (i.e., whether bias
@@ -524,11 +524,11 @@ def train(cls, data, iterations=100, step=1.0, regParam=0.01,
           (default: None)
         :param regType:
           The type of regularizer used for training our model.
-          :Allowed values:
+          Allowed values:
+
             - "l1" for using L1 regularization
-            - "l2" for using L2 regularization
+            - "l2" for using L2 regularization (default)
             - None for no regularization
-          (default: "l2")
         :param intercept:
           Boolean parameter which indicates the use or not of the
           augmented representation for training data (i.e. whether bias