apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-05-21 14:05:14 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

fix: pkg: dim reduction simulation with different functions

Browse source
This commit is contained in:
mzwiessele 2017-02-23 13:13:34 +00:00
parent e74a31c482
commit 0fc8110538
1 changed files with 3 additions and 3 deletions
Download patch file Download diff file Expand all files Collapse all files

6
GPy/examples/dimensionality_reduction.py
View file

@ -260,7 +260,7 @@ def _simulate_sincos(D1, D2, D3, N, num_inducing, plot_sim=False):
x = _np.linspace(0, 4 * _np.pi, N)[:, None] x = _np.linspace(0, 4 * _np.pi, N)[:, None]
s1 = _np.vectorize(lambda x: _np.sin(x)) s1 = _np.vectorize(lambda x: _np.sin(x))
s2 = _np.vectorize(lambda x: _np.cos(x) ** 2) s2 = _np.vectorize(lambda x: _np.cos(x))
s3 = _np.vectorize(lambda x:-_np.exp(-_np.cos(2 * x))) s3 = _np.vectorize(lambda x:-_np.exp(-_np.cos(2 * x)))
sS = _np.vectorize(lambda x: _np.cos(x)) sS = _np.vectorize(lambda x: _np.cos(x))
@ -302,8 +302,8 @@ def _simulate_sincos(D1, D2, D3, N, num_inducing, plot_sim=False):
def _generate_high_dimensional_output(D1, D2, D3, s1, s2, s3, sS): def _generate_high_dimensional_output(D1, D2, D3, s1, s2, s3, sS):
S1 = _np.hstack([s1, sS]) S1 = _np.hstack([s1, sS])
S2 = _np.hstack([s2, s3, sS]) S2 = _np.hstack([sS])
S3 = _np.hstack([s3, sS]) S3 = _np.hstack([s1, s3, sS])
Y1 = S1.dot(_np.random.randn(S1.shape[1], D1)) Y1 = S1.dot(_np.random.randn(S1.shape[1], D1))
Y2 = S2.dot(_np.random.randn(S2.shape[1], D2)) Y2 = S2.dot(_np.random.randn(S2.shape[1], D2))
Y3 = S3.dot(_np.random.randn(S3.shape[1], D3)) Y3 = S3.dot(_np.random.randn(S3.shape[1], D3))