Mercurial > pylearn
changeset 949:d944e1c26a57
merge
author | gdesjardins |
---|---|
date | Mon, 16 Aug 2010 10:39:36 -0400 |
parents | 0b4c39c33eb9 (diff) 216f4ce969b2 (current diff) |
children | bf54637bb994 |
files | |
diffstat | 1 files changed, 54 insertions(+), 0 deletions(-) [+] |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/pylearn/datasets/test_modes.py Mon Aug 16 10:39:36 2010 -0400 @@ -0,0 +1,54 @@ +from pylearn.datasets import Dataset +import numpy + +def neal94_AC(p=0.01, size=10000, seed=238904, w=[.25,.25,.25,.25]): + """ + Generates the dataset used in [Desjardins et al, AISTATS 2010]. The dataset + is composed of 4x4 binary images with four basic modes: full black, full + white, and [black,white] and [white,black] images. Modes are created by + drawing each pixel from the 4 basic modes with a bit-flip probability p. + + :param p: probability of flipping each pixel p: scalar, list (one per mode) + :param size: total size of the dataset + :param seed: seed used to draw random samples + :param w: weight of each mode within the dataset + """ + + # can modify the p-value separately for each mode + if not isinstance(p, (list,tuple)): + p = [p for i in w] + + rng = numpy.random.RandomState(seed) + data = numpy.zeros((size,16)) + + # mode 1: black image + B = numpy.zeros((1,16)) + # mode 2: white image + W = numpy.ones((1,16)) + # mode 3: white image with black stripe in left-hand side of image + BW = numpy.ones((4,4)) + BW[:, :2] = 0 + BW = BW.reshape(1,16) + # mode 4: white image with black stripe in right-hand side of image + WB = numpy.zeros((4,4)) + WB[:, :2] = 1 + WB = WB.reshape(1,16) + + modes = [B,W,BW,WB] + data = numpy.zeros((0,16)) + + # create permutations of basic modes with bitflip prob p + for i, m in enumerate(modes): + n = size * w[i] + bitflip = rng.binomial(1,p[i],size=(n,16)) + d = numpy.abs(numpy.repeat(m, n, axis=0) - bitflip) + data = numpy.vstack((data,d)) + + y = numpy.zeros((size,1)) + + set = Dataset() + set.train = Dataset.Obj(x=data, y=y) + set.test = None + set.img_shape = (4,4) + + return set