886 commits

Author	SHA1	Message	Date
James Hensman	053ebbe2d4	t of the gradients are now working in the uncollapsed sparse GP: one ... term still to do.	2012-12-09 14:41:36 -08:00
James Hensman	ef26888b78	dL_dbeta now works in the uncollapsed sparse GP	2012-12-08 15:29:17 -08:00
James Hensman	5f2c2a04f8	chenged a little of the notation in the sparse GP ... This should allow easier implementation of het. noise	2012-12-08 15:15:31 -08:00
James Hensman	ab56f3f9b7	small tweak to the gradients in sparse GP	2012-12-07 23:03:53 -08:00
James Hensman	e6d08348c7	minor perfomance tweak for GP regression	2012-12-07 17:18:52 -08:00
James Hensman	fe13d2c09a	more skeletal work on the uncollapsed GP ... None of the gradients work, but lots more things are in place	2012-12-07 16:35:15 -08:00
James Hensman	1c0a223329	added the raw_predict function in the uncollapsed sparse GP	2012-12-07 15:51:27 -08:00
Nicolo Fusi	e415dcdd93	GPLVM accepts an initial value for X (in case you don't want to use the default random/PCA init)	2012-12-07 15:16:52 +00:00
James Hensman	c72d1b1a5b	changed the behaviour of pdinv: now returns L and Li as well as the inverse	2012-12-06 09:51:13 -08:00
James Hensman	574f9f4e0a	more tidying in EP, removed examples from _module_ ( and opened discussion on github	2012-12-06 09:21:37 -08:00
James Hensman	69cc506b9e	trivial merge resolution	2012-12-06 08:49:46 -08:00
Nicolo Fusi	fb8cfc8f34	fixed import error for examples and import error for uncertain inputs GP	2012-12-06 12:35:29 +00:00
Nicolo Fusi	a0f758bb69	Merge branch 'master' of github.com:SheffieldML/GPy	2012-12-06 12:32:39 +00:00
Nicolo Fusi	a0df883ec9	fixed bug in GP_regression	2012-12-06 12:32:31 +00:00
James Hensman	20a02cc445	removed uncertain gp regression from the model __init__, since it's now ... just a switch in the sparse GP	2012-12-05 22:25:37 -08:00
Neil Lawrence	60fd1c55dc	Merge changes for model.py and optimization.py on comments.	2012-12-05 19:22:36 -08:00
Neil Lawrence	0ee11a2077	Added datasets.py back in and minor changes.	2012-12-05 19:19:15 -08:00
James Hensman	c003b2f34d	Minor edits	2012-12-05 09:10:27 -08:00
James Hensman	1a9872c187	Some tidying in the uncollapsed GP	2012-12-03 10:53:37 -08:00
James Hensman	5f22bd00e6	made uncertain inputs a simple swith in the sparse GP class. This simplifies the inherritance structure	2012-12-03 18:35:05 +00:00
James Hensman	a5b90fa541	Added a skeleton of the uncollapsed sparse GP	2012-12-02 15:50:16 +00:00
James Hensman	c4761bedf5	minor commenting	2012-12-02 15:12:14 +00:00
James Hensman	1d8104bcc2	general tidying in sparse_GP_regression ... Have also made a small ampount of headway in enabling heteroscedatic noise.	2012-12-02 13:40:19 +00:00
James Hensman	365d069ae8	saved a little computation by exploiting the symmetry of a matrix	2012-12-02 12:35:54 +00:00
James Hensman	1c60e50fed	I think the gradients bug in the sparse GP model is due to Kmm being unstable to invert. REducing M in some of the examples really helps	2012-12-02 12:32:20 +00:00
James Hensman	6d0a7afd4c	bias kernel psi stats implemented.	2012-11-30 15:49:20 +00:00
James Hensman	cd22c96e00	new file: uncertain_input_GP_regression.py	2012-11-30 14:04:40 +00:00
James Hensman	821701142a	tidied up some commented code from sparse_GP_regression	2012-11-30 12:43:14 +00:00
James Hensman	31b7a0520e	sparseGPLVM demo now working	2012-11-30 11:59:22 +00:00
James Hensman	ba84a43ea3	sparse GP regression now working on this branch	2012-11-30 11:47:35 +00:00
James Hensman	78d1abfc22	GP_regression demo working with new style gradients for rbf, linear, white, bias	2012-11-30 11:04:14 +00:00
James Hensman	5f92ff6785	GPLVM demo working	2012-11-30 10:31:02 +00:00
James Hensman	4b4f1da128	very basic GP_regression demo is working	2012-11-30 09:11:46 +00:00
James Hensman	a1c088c40e	made GP_regression wwork with partial-passed gradients	2012-11-30 08:43:45 +00:00
Nicolo Fusi	92adeecb6c	added copyright notice and license at the top	2012-11-29 16:39:20 +00:00
Nicolo Fusi	61984274dd	models	2012-11-29 16:32:48 +00:00