From 1284a0683fe89412960bdf0bf32eb8d395ebf7f5 Mon Sep 17 00:00:00 2001 From: Max Zwiessele Date: Mon, 3 Mar 2014 15:08:54 +0000 Subject: [PATCH] sparse gp with uncertain inputs --- GPy/models/sparse_gp_regression.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/GPy/models/sparse_gp_regression.py b/GPy/models/sparse_gp_regression.py index 4980d26a..99176601 100644 --- a/GPy/models/sparse_gp_regression.py +++ b/GPy/models/sparse_gp_regression.py @@ -88,7 +88,7 @@ class SparseGPRegressionUncertainInput(SparseGP): # kern defaults to rbf (plus white for stability) if kernel is None: - kernel = kern.rbf(input_dim) + kern.white(input_dim, variance=1e-3) + kernel = kern.RBF(input_dim) + kern.White(input_dim, variance=1e-3) # Z defaults to a subset of the data if Z is None: @@ -99,5 +99,5 @@ class SparseGPRegressionUncertainInput(SparseGP): likelihood = likelihoods.Gaussian() - SparseGP.__init__(self, X, Y, Z, kernel, likelihood, X_variance=X_variance) + SparseGP.__init__(self, X, Y, Z, kernel, likelihood, X_variance=X_variance, inference_method=VarDTC()) self.ensure_default_constraints()