view noise.py @ 421:e01f17be270a

Kernel regression learning algorithm
author Yoshua Bengio <bengioy@iro.umontreal.ca>
date Sat, 19 Jul 2008 10:11:22 -0400
parents 643dbccde1fc
children
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def binomial(input, rstate, p = 0.75):
    """
    Op to corrupt an input with binomial noise.
    Generate a noise vector of 1's and 0's (1 with probability p).
    We multiply this by the input.

    @note: See U{ssh://projects@lgcm.iro.umontreal.ca/repos/denoising_aa}
    to see how rstate is used.
    """
    noise = rstate.gen_like(('binomial',{'p': p, 'n': 1}), input)
    noise.name = 'noise'
    return noise * input