different methods of OnlineLogisticRegression class

[Simanchal]

Hi,

I am new to Mahout Classification.

I am refering to MIA books and came across on 20 news group classification
example.

What are the significant and what measour to be follow while giving values
to
below  methods of  OnlineLogisticRegression object ?

*1.stepOffset*
*2.decayExponent*
*3.alpha*
*4.lambda*
*4.learningRate*

Example:
OnlineLogisticRegression learningAlgorithm = new
OnlineLogisticRegression(20, 1000, new
L1()).alpha(1).stepOffset(1000).decayExponent(0.9).lambda(3.0e-5).learningRate(20)

Thanks .

Regards,
Simanchal