multiprocessing.Process - Variable as function
===

I am using the code below to parallelize the processing of a numpy array.  The target function in this case performs a simple linear stretch on the input data.  The array is segmented and then fed to the pool in chunks.  This is working quite well thanks to the numerous parallel processing with python posts.  


            pool = [multiprocessing.Process(target=linear_stretch, args= (shared_arr,slice(i, i+step), 35, 200, 2.0)) for i in range (0, y, step)]

My question is, is it possible to do something like the following:

    stretch = Linear.linear_stretch()

Where I create an object of the function (please correct my vocab!) and then call it in the multiprocessing.Process.  

The module that the function resides in currently looks like:

    Linear.py

    import numpy

    def linear_stretch(args):
        #Do some stuff