def test_probs(self):
		rbm = RBM(9, 11)
		rbm.W = np.matrix(np.random.randn(rbm.X.shape[0], rbm.Y.shape[0]))
		rbm.b = np.matrix(np.random.rand(rbm.X.shape[0], 1))
		rbm.c = np.matrix(np.random.randn(rbm.Y.shape[0], 1))

		examples_vis = np.matrix(np.random.rand(rbm.X.shape[0], 100) < 0.5)
		examples_hid = np.matrix(np.random.rand(rbm.Y.shape[0], 100) < 0.5)

		states_vis = utils.binary_numbers(rbm.X.shape[0])
		states_hid = utils.binary_numbers(rbm.Y.shape[0])

		# check that conditional probabilities are normalized
		logprobs = rbm._clogprob_vis_hid(states_vis, examples_hid, all_pairs=True)
		self.assertTrue(np.all(utils.logsumexp(logprobs, 0) < 1E-10))

		logprobs = rbm._clogprob_hid_vis(examples_vis, states_hid, all_pairs=True)
		self.assertTrue(np.all(utils.logsumexp(logprobs, 1) < 1E-10))

		# test for consistency
		logprobs1 = rbm._ulogprob(examples_vis, examples_hid, all_pairs=True)
		logprobs2 = rbm._clogprob_vis_hid(examples_vis, examples_hid, all_pairs=True) \
		          + rbm._ulogprob_hid(examples_hid)
		logprobs3 = rbm._clogprob_hid_vis(examples_vis, examples_hid, all_pairs=True) \
		          + rbm._ulogprob_vis(examples_vis).T
		self.assertTrue(np.all(np.abs(logprobs1 - logprobs2) < 1E-10))
		self.assertTrue(np.all(np.abs(logprobs1 - logprobs3) < 1E-10))
Esempio n. 2
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    def test_probs(self):
        rbm = RBM(9, 11)
        rbm.W = np.matrix(np.random.randn(rbm.X.shape[0], rbm.Y.shape[0]))
        rbm.b = np.matrix(np.random.rand(rbm.X.shape[0], 1))
        rbm.c = np.matrix(np.random.randn(rbm.Y.shape[0], 1))

        examples_vis = np.matrix(np.random.rand(rbm.X.shape[0], 100) < 0.5)
        examples_hid = np.matrix(np.random.rand(rbm.Y.shape[0], 100) < 0.5)

        states_vis = utils.binary_numbers(rbm.X.shape[0])
        states_hid = utils.binary_numbers(rbm.Y.shape[0])

        # check that conditional probabilities are normalized
        logprobs = rbm._clogprob_vis_hid(states_vis,
                                         examples_hid,
                                         all_pairs=True)
        self.assertTrue(np.all(utils.logsumexp(logprobs, 0) < 1E-10))

        logprobs = rbm._clogprob_hid_vis(examples_vis,
                                         states_hid,
                                         all_pairs=True)
        self.assertTrue(np.all(utils.logsumexp(logprobs, 1) < 1E-10))

        # test for consistency
        logprobs1 = rbm._ulogprob(examples_vis, examples_hid, all_pairs=True)
        logprobs2 = rbm._clogprob_vis_hid(examples_vis, examples_hid, all_pairs=True) \
                  + rbm._ulogprob_hid(examples_hid)
        logprobs3 = rbm._clogprob_hid_vis(examples_vis, examples_hid, all_pairs=True) \
                  + rbm._ulogprob_vis(examples_vis).T
        self.assertTrue(np.all(np.abs(logprobs1 - logprobs2) < 1E-10))
        self.assertTrue(np.all(np.abs(logprobs1 - logprobs3) < 1E-10))
Esempio n. 3
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    def test_all_pairs(self):
        rbm = RBM(10, 20)
        rbm.W = np.matrix(np.random.randn(rbm.X.shape[0], rbm.Y.shape[0]))
        rbm.b = np.matrix(np.random.rand(rbm.X.shape[0], 1))
        rbm.c = np.matrix(np.random.randn(rbm.Y.shape[0], 1))

        examples_vis = np.matrix(np.random.rand(rbm.X.shape[0], 100) < 0.5)
        examples_hid = np.matrix(np.random.rand(rbm.Y.shape[0], 100) < 0.5)

        logprob1 = rbm._ulogprob(examples_vis, examples_hid)
        logprob2 = np.diag(
            rbm._ulogprob(examples_vis, examples_hid, all_pairs=True))
        self.assertTrue(np.abs(logprob1 - logprob2).sum() < 1E-10)

        logprob1 = rbm._ulogprob(examples_vis[:, 1], examples_hid)
        logprob2 = rbm._ulogprob(examples_vis, examples_hid,
                                 all_pairs=True)[1, :]
        self.assertTrue(np.abs(logprob1 - logprob2).sum() < 1E-10)

        logprob1 = rbm._ulogprob(examples_vis, examples_hid[:, 1])
        logprob2 = rbm._ulogprob(examples_vis, examples_hid,
                                 all_pairs=True)[:, 1].T
        self.assertTrue(np.abs(logprob1 - logprob2).sum() < 1E-10)

        logprob1 = rbm._clogprob_vis_hid(examples_vis, examples_hid)
        logprob2 = np.diag(
            rbm._clogprob_vis_hid(examples_vis, examples_hid, all_pairs=True))
        self.assertTrue(np.abs(logprob1 - logprob2).sum() < 1E-10)

        logprob1 = rbm._clogprob_vis_hid(examples_vis[:, 1], examples_hid)
        logprob2 = rbm._clogprob_vis_hid(examples_vis,
                                         examples_hid,
                                         all_pairs=True)[1, :]
        self.assertTrue(np.abs(logprob1 - logprob2).sum() < 1E-10)

        logprob1 = rbm._clogprob_vis_hid(examples_vis, examples_hid[:, 1])
        logprob2 = rbm._clogprob_vis_hid(examples_vis,
                                         examples_hid,
                                         all_pairs=True)[:, 1].T
        self.assertTrue(np.abs(logprob1 - logprob2).sum() < 1E-10)

        logprob1 = rbm._clogprob_hid_vis(examples_vis, examples_hid)
        logprob2 = np.diag(
            rbm._clogprob_hid_vis(examples_vis, examples_hid, all_pairs=True))
        self.assertTrue(np.abs(logprob1 - logprob2).sum() < 1E-10)

        logprob1 = rbm._clogprob_hid_vis(examples_vis[:, 1], examples_hid)
        logprob2 = rbm._clogprob_hid_vis(examples_vis,
                                         examples_hid,
                                         all_pairs=True)[1, :]
        self.assertTrue(np.abs(logprob1 - logprob2).sum() < 1E-10)

        logprob1 = rbm._clogprob_hid_vis(examples_vis, examples_hid[:, 1])
        logprob2 = rbm._clogprob_hid_vis(examples_vis,
                                         examples_hid,
                                         all_pairs=True)[:, 1].T
        self.assertTrue(np.abs(logprob1 - logprob2).sum() < 1E-10)
	def test_all_pairs(self):
		rbm = RBM(10, 20)
		rbm.W = np.matrix(np.random.randn(rbm.X.shape[0], rbm.Y.shape[0]))
		rbm.b = np.matrix(np.random.rand(rbm.X.shape[0], 1))
		rbm.c = np.matrix(np.random.randn(rbm.Y.shape[0], 1))

		examples_vis = np.matrix(np.random.rand(rbm.X.shape[0], 100) < 0.5)
		examples_hid = np.matrix(np.random.rand(rbm.Y.shape[0], 100) < 0.5)

		logprob1 = rbm._ulogprob(examples_vis, examples_hid)
		logprob2 = np.diag(rbm._ulogprob(examples_vis, examples_hid, all_pairs=True))
		self.assertTrue(np.abs(logprob1 - logprob2).sum() < 1E-10)

		logprob1 = rbm._ulogprob(examples_vis[:, 1], examples_hid)
		logprob2 = rbm._ulogprob(examples_vis, examples_hid, all_pairs=True)[1, :]
		self.assertTrue(np.abs(logprob1 - logprob2).sum() < 1E-10)

		logprob1 = rbm._ulogprob(examples_vis, examples_hid[:, 1])
		logprob2 = rbm._ulogprob(examples_vis, examples_hid, all_pairs=True)[:, 1].T
		self.assertTrue(np.abs(logprob1 - logprob2).sum() < 1E-10)
		
		logprob1 = rbm._clogprob_vis_hid(examples_vis, examples_hid)
		logprob2 = np.diag(rbm._clogprob_vis_hid(examples_vis, examples_hid, all_pairs=True))
		self.assertTrue(np.abs(logprob1 - logprob2).sum() < 1E-10)

		logprob1 = rbm._clogprob_vis_hid(examples_vis[:, 1], examples_hid)
		logprob2 = rbm._clogprob_vis_hid(examples_vis, examples_hid, all_pairs=True)[1, :]
		self.assertTrue(np.abs(logprob1 - logprob2).sum() < 1E-10)

		logprob1 = rbm._clogprob_vis_hid(examples_vis, examples_hid[:, 1])
		logprob2 = rbm._clogprob_vis_hid(examples_vis, examples_hid, all_pairs=True)[:, 1].T
		self.assertTrue(np.abs(logprob1 - logprob2).sum() < 1E-10)

		logprob1 = rbm._clogprob_hid_vis(examples_vis, examples_hid)
		logprob2 = np.diag(rbm._clogprob_hid_vis(examples_vis, examples_hid, all_pairs=True))
		self.assertTrue(np.abs(logprob1 - logprob2).sum() < 1E-10)

		logprob1 = rbm._clogprob_hid_vis(examples_vis[:, 1], examples_hid)
		logprob2 = rbm._clogprob_hid_vis(examples_vis, examples_hid, all_pairs=True)[1, :]
		self.assertTrue(np.abs(logprob1 - logprob2).sum() < 1E-10)

		logprob1 = rbm._clogprob_hid_vis(examples_vis, examples_hid[:, 1])
		logprob2 = rbm._clogprob_hid_vis(examples_vis, examples_hid, all_pairs=True)[:, 1].T
		self.assertTrue(np.abs(logprob1 - logprob2).sum() < 1E-10)