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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| rev |
line source |
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414
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1 def binomial(input, rstate, p = 0.75):
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2 """
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3 Op to corrupt an input with binomial noise.
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4 Generate a noise vector of 1's and 0's (1 with probability p).
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5 We multiply this by the input.
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6
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7 @note: See U{ssh://projects@lgcm.iro.umontreal.ca/repos/denoising_aa}
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8 to see how rstate is used.
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9 """
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10 noise = rstate.gen_like(('binomial',{'p': p, 'n': 1}), input)
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11 noise.name = 'noise'
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12 return noise * input
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13
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