"features" parameter in TrainLogistic

["Razon, Oren" <or...@intel.com>]

Hi,
I'm using the "TrainLogistic" class in mahout 0.5 to build a logistic regression.
I'm trying it with the Iris dataset and I do not understand how to work with the "features" parameter.

It seem that if I give it small int value (~10) I get a coefficient set as a result that contain the same coefficient value for 2 or more different coefficients.
If I give it a high int value (~>1000) I get a different value per coefficient. What does this model parameter represent exactly, what value should I give it?

Thanks,
Oren

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