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authorlewuathe <lewuathe@me.com>2015-03-20 17:18:18 -0400
committerXiangrui Meng <meng@databricks.com>2015-03-20 17:18:18 -0400
commit257cde7c363efb3317bfb5c13975cca9154894e2 (patch)
tree420d26c15072875caef30987209539debaf8888f /python/pyspark/mllib/regression.py
parent11e025956be3818c00effef0d650734f8feeb436 (diff)
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[SPARK-6421][MLLIB] _regression_train_wrapper does not test initialWeights correctly
Weight parameters must be initialized correctly even when numpy array is passed as initial weights. Author: lewuathe <lewuathe@me.com> Closes #5101 from Lewuathe/SPARK-6421 and squashes the following commits: 7795201 [lewuathe] Fix lint-python errors 21d4fe3 [lewuathe] Fix init logic of weights
Diffstat (limited to 'python/pyspark/mllib/regression.py')
-rw-r--r--python/pyspark/mllib/regression.py3
1 files changed, 2 insertions, 1 deletions
diff --git a/python/pyspark/mllib/regression.py b/python/pyspark/mllib/regression.py
index 015a786011..414a0ada80 100644
--- a/python/pyspark/mllib/regression.py
+++ b/python/pyspark/mllib/regression.py
@@ -163,7 +163,8 @@ def _regression_train_wrapper(train_func, modelClass, data, initial_weights):
first = data.first()
if not isinstance(first, LabeledPoint):
raise ValueError("data should be an RDD of LabeledPoint, but got %s" % first)
- initial_weights = initial_weights or [0.0] * len(data.first().features)
+ if initial_weights is None:
+ initial_weights = [0.0] * len(data.first().features)
weights, intercept = train_func(data, _convert_to_vector(initial_weights))
return modelClass(weights, intercept)