(test_dist - make analytic deriv computations cope with general tensors not just vectors)

Ignore-this: e36345d933602ed8677afd1fe1adceae

darcs-hash:20130502160204-3a4db-7097298f524dbadf8d27703e17d42b0b986a4d92
mathhelp (and transform) - add (and use) reprArray method to work around numpy bug

Ignore-this: 98fa3094ea64995983b096cbc56edfd3

darcs-hash:20130502160336-3a4db-2f955b5bc049a11aec8f1d256fd179d17cb39f60
dist - add LinearGaussianVec

Ignore-this: d712b2c9a28058d3e282da8ae6681347

darcs-hash:20130502224052-3a4db-eecf785ca98a627c0e46d9b2a88bff7c59ea4eb2
dist - add flooring for LinearGaussianVec

Ignore-this: ccf3aa0c043b77ef4c3f46be1844a0ed

darcs-hash:20130502224243-3a4db-4ec2ee9db832d70dd82402b91457d1ae036bdd40
transform - add AddBiasVec

Ignore-this: 7dcb3ddd23fbc504d784e2cd3e1dfc23

darcs-hash:20130502224435-3a4db-3712220bbc27b5431ff2fb8f77de004ea751fab2
mgc_lf0_bap and experiment - add ability to use vector versions of dists (such as LinearGaussianVec), but disable by default

Ignore-this: 77cc58080055de73e2b511bb898a6154

darcs-hash:20130502224606-3a4db-c9f7bb684400ef8414d66c2403f09856480aa2ad
(dist - fix bug in HTS-style flooring for LinearGaussianVec)

Ignore-this: c4cfa16e9a018fe005d45d30ef247a05

darcs-hash:20130502225952-3a4db-604e5dade31f97f1e1236d1b7a3dae64896be9d3
cluster - refactor (I was having trouble understanding!)

Ignore-this: 22bc207ef795031c361e1153158a1d4c

darcs-hash:20130504114950-3a4db-822f803e5b9aa2ab7b8ac241f28e9d7b6a2234bc
cluster - further refactoring

Ignore-this: 3acb6b30154dec7e0bc6098202d7fa09

darcs-hash:20130504123536-3a4db-43b47cc178c0df2d1f0a294287628bc8a5edaf24
(dist - minor improvements)

Ignore-this: cb8697ba01c2e84694b81efc09e0b641

darcs-hash:20130504160012-3a4db-bc4cc3f709ff894abde1eed3a752a3094712e894
(dist - minor refactor of FloorSetter)

Ignore-this: 7a7c04f524f074f17f212e52cefd9586

darcs-hash:20130504162052-3a4db-66b1e395891b189eac006112788cf423081b9c00
dist - add GaussianVec

Ignore-this: 3c9da4ea9c23e986bc414b7fe9886d91

darcs-hash:20130504163435-3a4db-1d6c422daa92b0ee50edd719abb9d57ffdb398e8
(cluster - minor improvements)

Ignore-this: 97fb08d865a7cb609d01410523e3ff7

darcs-hash:20130506002630-3a4db-e04637cbf042ed2181f773354534ee38f37da419
cluster - further re-jig (better naming, isYesList tuple instead of list, use iterators more)

Ignore-this: 3086437ef8f4f89b3492eef60c4f93e3

darcs-hash:20130506013745-3a4db-95295701d0efde85ac5faa6a5736651956fc10d4
cluster (and experiment) - another major refactor

Ignore-this: e91515410a9c4e9908ee0110088971c3

darcs-hash:20130507113940-3a4db-48e35eeee5ecaa716b137e08607f2ed4616a7e05
cluster - speed-up: remove trivial questions as we grow tree (and make questionGroups remaining part of state to enable this)

Ignore-this: 13f019e681327ba44db534934f7a171b

darcs-hash:20130507124037-3a4db-257e05f4968bc2e93ac204818f81c9ea285a6c6f
(cluster - remove old method)

Ignore-this: ae3529d57a878ef98c8ab94514106599

darcs-hash:20130507124407-3a4db-4164f781aefef66ad9f9c5a7b68d3f976bcaf9ca
(mylinalg - use numpy rather than scipy solve, since seems faster)

Ignore-this: 6f68240322ce284cac88aaa1df223e18

darcs-hash:20130507151144-3a4db-dcf38a12048141de066e848f7647c7b08558418f
(dist - less ambiguous flooring output)

Ignore-this: 19b125970aeef2ca5d5ee85d1bdbef4

darcs-hash:20130507152734-3a4db-82d57830569d4a1d149848557f551973b6faf332
(cluster - use default value for maxCount)

Ignore-this: 927657af1dc825c45adc674441cbc315

darcs-hash:20130507153956-3a4db-a40366fa67efccb66c0084c7d7e807c1a072ee9e