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fix: model tests numpy integer error

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mzwiessele 2017-02-23 16:03:53 +00:00 • committed by Akash Kumar Dhaka
parent b8aabb97f8
commit 970bd5399b
1 changed files with 10 additions and 7 deletions
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17
GPy/testing/model_tests.py
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@ -1,6 +1,6 @@
# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
from __future__ import division
import unittest
import numpy as np
@ -759,16 +759,18 @@ class GradientTests(np.testing.TestCase):
def test_GP_EP_probit(self):
N = 20
X = np.hstack([np.random.normal(5, 2, N / 2), np.random.normal(10, 2, N / 2)])[:, None]
Y = np.hstack([np.ones(N / 2), np.zeros(N / 2)])[:, None]
Nhalf = int(N/2)
X = np.hstack([np.random.normal(5, 2, Nhalf), np.random.normal(10, 2, Nhalf)])[:, None]
Y = np.hstack([np.ones(Nhalf), np.zeros(Nhalf)])[:, None]
kernel = GPy.kern.RBF(1)
m = GPy.models.GPClassification(X, Y, kernel=kernel)
self.assertTrue(m.checkgrad())
def test_sparse_EP_DTC_probit(self):
N = 20
X = np.hstack([np.random.normal(5, 2, N / 2), np.random.normal(10, 2, N / 2)])[:, None]
Y = np.hstack([np.ones(N / 2), np.zeros(N / 2)])[:, None]
Nhalf = int(N/2)
X = np.hstack([np.random.normal(5, 2, Nhalf), np.random.normal(10, 2, Nhalf)])[:, None]
Y = np.hstack([np.ones(Nhalf), np.zeros(Nhalf)])[:, None]
Z = np.linspace(0, 15, 4)[:, None]
kernel = GPy.kern.RBF(1)
m = GPy.models.SparseGPClassification(X, Y, kernel=kernel, Z=Z)
@ -776,8 +778,9 @@ class GradientTests(np.testing.TestCase):
def test_sparse_EP_DTC_probit_uncertain_inputs(self):
N = 20
X = np.hstack([np.random.normal(5, 2, N / 2), np.random.normal(10, 2, N / 2)])[:, None]
Y = np.hstack([np.ones(N / 2), np.zeros(N / 2)])[:, None]
Nhalf = int(N/2)
X = np.hstack([np.random.normal(5, 2, Nhalf), np.random.normal(10, 2, Nhalf)])[:, None]
Y = np.hstack([np.ones(Nhalf), np.zeros(Nhalf)])[:, None]
Z = np.linspace(0, 15, 4)[:, None]
X_var = np.random.uniform(0.1, 0.2, X.shape)
kernel = GPy.kern.RBF(1)