Github user BryanCutler commented on a diff in the pull request:
https://github.com/apache/spark/pull/10600#discussion_r50575904
--- Diff: python/pyspark/mllib/regression.py ---
@@ -393,27 +401,35 @@ def train(cls, data, iterations=100, step=1.0,
regParam=0.01,
set of rows of A, each with its corresponding right hand side
label y. See also the documentation for the precise formulation.
- :param data: The training data, an RDD of
- LabeledPoint.
- :param iterations: The number of iterations
- (default: 100).
- :param step: The step parameter used in SGD
- (default: 1.0).
- :param regParam: The regularizer parameter
- (default: 0.01).
- :param miniBatchFraction: Fraction of data to be used for each
- SGD iteration (default: 1.0).
- :param initialWeights: The initial weights (default: None).
- :param intercept: Boolean parameter which indicates the
- use or not of the augmented
representation
- for training data (i.e. whether bias
- features are activated or not,
- default: False).
- :param validateData: Boolean parameter which indicates if
- the algorithm should validate data
- before training. (default: True)
- :param convergenceTol: A condition which decides iteration
termination.
- (default: 0.001)
+ :param data:
+ The training data, an RDD of LabeledPoint.
+ :param iterations:
+ The number of iterations.
+ (default: 100)
+ :param step:
+ The step parameter used in SGD.
+ (default: 1.0)
+ :param regParam:
+ The regularizer parameter.
+ (default: 0.01)
+ :param miniBatchFraction:
+ Fraction of data to be used for each SGD iteration.
+ (default: 1.0)
+ :param initialWeights:
+ The initial weights.
+ (default: None)
+ :param intercept:
+ Boolean parameter which indicates the use or not of the
+ augmented representation for training data (i.e. whether bias
+ features are activated or not).
+ (default: False)
--- End diff --
not aligned properly
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