Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/1624#discussion_r15623329
--- Diff: python/pyspark/mllib/regression.py ---
@@ -109,18 +109,27 @@ class
LinearRegressionModel(LinearRegressionModelBase):
True
"""
-
class LinearRegressionWithSGD(object):
@classmethod
- def train(cls, data, iterations=100, step=1.0,
- miniBatchFraction=1.0, initialWeights=None):
- """Train a linear regression model on the given data."""
+ def train(cls, data, iterations=100, step=1.0, regParam=1.0,
regType=None,
+ intercept=False, miniBatchFraction=1.0, initialWeights=None):
+ """Train a linear regression model on the given data. The
'regType' parameter can take
+ one from the following string values: "L1Updater" for invoking
the lasso regularizer,
+ "SquaredUpdater" for invoking the ridge regularizer or "NONE"
for not using a
+ regularizer at all. The user can determine the regularizer
parameter by setting the
+ appropriate value to variable 'regParam' (by default is set to
1.0)."""
sc = data.context
- train_f = lambda d, i:
sc._jvm.PythonMLLibAPI().trainLinearRegressionModelWithSGD(
- d._jrdd, iterations, step, miniBatchFraction, i)
+ if regType is None:
+ train_f = lambda d, i:
sc._jvm.PythonMLLibAPI().trainLinearRegressionModelWithSGD(
+ d._jrdd, iterations, step, regParam, "NONE", intercept,
miniBatchFraction, i)
+ elif regType == "SquaredUpdater" or regType == "L1Updater" or
regType == "NONE":
--- End diff --
You can change it to `l2`, `l1`, and `none` (simpler and lowercases)
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