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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