Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/5137#discussion_r27162336
--- Diff: python/pyspark/mllib/classification.py ---
@@ -237,12 +290,19 @@ def train(cls, data, iterations=100,
initialWeights=None, regParam=0.01, regType
def train(rdd, i):
return callMLlibFunc("trainLogisticRegressionModelWithLBFGS",
rdd, int(iterations), i,
float(regParam), regType,
bool(intercept), int(corrections),
- float(tolerance))
-
+ float(tolerance), bool(validateData),
int(numClasses))
+
+ if initialWeights is None:
+ if numClasses == 2:
+ initialWeights = [0.0] * len(data.first().features)
+ elif intercept:
--- End diff --
Would you mind putting the "if intercept" in an "else" clause to make it
clearer which part of this is for multiclass?
```
if numClasses == 2:
else:
if intercept:
else:
```
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