Github user BryanCutler commented on a diff in the pull request:
https://github.com/apache/spark/pull/10598#discussion_r48887425
--- Diff: python/pyspark/mllib/classification.py ---
@@ -323,38 +330,45 @@ def train(cls, data, iterations=100,
initialWeights=None, regParam=0.01, regType
"""
Train a logistic regression model on the given data.
- :param data: The training data, an RDD of
- LabeledPoint.
- :param iterations: The number of iterations
- (default: 100).
- :param initialWeights: The initial weights (default: None).
- :param regParam: The regularizer parameter
- (default: 0.01).
- :param regType: The type of regularizer used for
- training our model.
-
- :Allowed values:
- - "l1" for using L1 regularization
- - "l2" for using L2 regularization
- - 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
- features are activated or not,
- default: False).
- :param corrections: The number of corrections used in the
- LBFGS update (default: 10).
- :param tolerance: The convergence tolerance of iterations
- for L-BFGS (default: 1e-4).
- :param validateData: Boolean parameter which indicates if the
- algorithm should validate data before
- training. (default: True)
- :param numClasses: The number of classes (i.e., outcomes) a
- label can take in Multinomial Logistic
- Regression (default: 2).
+ :param data:
+ The training data, an RDD of LabeledPoint.
+ :param iterations:
+ The number of iterations
+ (default: 100).
+ :param initialWeights:
+ The initial weights
+ (default: None).
+ :param regParam:
+ The regularizer parameter
+ (default: 0.01).
+ :param regType:
+ The type of regularizer used for training our model.
+
+ :Allowed values:
+ - "l1" for using L1 regularization
+ - "l2" for using L2 regularization
+ - 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 features are
+ activated or not)
+ (default: False)
+ :param corrections:
+ The number of corrections used in the LBFGS update.
--- End diff --
there is an extra space indentation here
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