updated mini_batch_size description for LogisticRegressionParams in documentation

pull/3119/head
Rahul Kavi 11 years ago committed by Maksim Shabunin
parent e4ef0e0ca8
commit 3622de2621
  1. 3
      modules/ml/doc/logistic_regression.rst

@ -110,8 +110,7 @@ The constructors.
:param: reg: To enable or disable regularization. Set to positive integer (greater than zero) to enable and to 0 to disable.
:param: mini_batch_size: Specifies the number of training samples taken in each step of Mini-Batch Gradient Descent. Will only be used if using ``LogisticRegression::MINI_BATCH`` training algorithm.
:param: mini_batch_size: Specifies the number of training samples taken in each step of Mini-Batch Gradient Descent. Will only be used if using ``LogisticRegression::MINI_BATCH`` training algorithm. It has to take values less than the total number of training samples.
The full constructor initializes corresponding members. The default constructor creates an object with dummy parameters.

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