BNW/sourcecodes/parameter_learning/prepareInput.m, branch main Unnamed repository; edit this file 'description' to name the repository. http://git.genenetwork.org/BNW/atom?h=main 2021-03-09T20:22:04+00:00 Update prepareInput.m 2021-03-09T20:22:04+00:00 ziejd2 2021-03-09T20:22:04+00:00 urn:sha1:23fb264ecbe9d0bf480a5c1dbef7dcd0f00e4bf0 GENENET8 update 2021-02-24T20:36:59+00:00 ziejd2 2021-02-24T20:36:59+00:00 urn:sha1:25b843f6bbacb1937bdb960777b73acbece64115 Deleting old versions of files 2019-01-28T22:37:57+00:00 ziejd2 2019-01-28T22:37:57+00:00 urn:sha1:995f6673b5e725d6907ccd4f8e25033e8524f116 New parameter learning options 2018-09-14T04:59:20+00:00 ziejd2 2018-09-14T04:59:20+00:00 urn:sha1:e3f7237ffcb19f19db3b68777b5a94b89e07f66a The main change here is in the parameter learning methods. The parameters that are learned at first (i.e., if there is no evidence) are the distributions that are found directly in the data. I had to create or significantly modify several BNT files for this. If there is evidence, the parameters are learned using a Dirichlet prior. This only required a couple of small changes to the BNW parameter learning files. Bug fixes, code comments, and minor changes 2018-04-25T21:43:19+00:00 ziejd2 2018-04-25T21:43:19+00:00 urn:sha1:74b673ba4a706085201a5610b938ff98f08f641d Separating Octave and php calculations 2018-03-15T04:19:16+00:00 ziejd2 2018-03-15T04:19:16+00:00 urn:sha1:c80226899f5cdd9f11c163817d59445213f5bef0