updated mini_batch_size description for LogisticRegressionParams in documentation

diff --git a/modules/ml/doc/logistic_regression.rst b/modules/ml/doc/logistic_regression.rst
index c3236c7..33dc5d8 100644 (file)
--- a/modules/ml/doc/logistic_regression.rst
+++ b/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.