Merge branch 'params' of github.com:SheffieldML/GPy into params

GPy/kern/_src/stationary.py

@@ -215,7 +215,7 @@ class Cosine(Stationary):
     def __init__(self, input_dim, variance=1., lengthscale=None, ARD=False, name='Cosine'):
         super(Cosine, self).__init__(input_dim, variance, lengthscale, ARD, name)
 
-    def K_of_r(self, r)
+    def K_of_r(self, r):
         return self.variance * np.cos(r)
 
     def dK_dr(self, r):
@@ -238,7 +238,7 @@ class RatQuad(Stationary):
         self.power = Param('power', power, Logexp())
         self.add_parameters(self.power)
 
-    def K_of_r(self, r)
+    def K_of_r(self, r):
         return self.variance*(1. + r**2/2.)**(-self.power)
 
     def dK_dr(self, r):

GPy/util/initialization.py

@@ -0,0 +1,17 @@
+'''
+Created on 24 Feb 2014
+
+@author: maxz
+'''
+
+import numpy as np
+from linalg import PCA
+
+def initialize_latent(init, input_dim, Y):
+    Xr = np.random.randn(Y.shape[0], input_dim)
+    if init == 'PCA':
+        PC = PCA(Y, input_dim)[0]
+        Xr[:PC.shape[0], :PC.shape[1]] = PC
+    else:
+        pass
+    return Xr