tag:github.com,2008:https://github.com/ajwills72/catlearn/releasesRelease notes from catlearn2023-04-05T06:49:47Ztag:github.com,2008:Repository/141598698/v1.02023-04-05T06:54:16ZVersion 1.0<p>Catlearn reaches 1.0! Thanks to all those who helped development over the last seven years.</p>ajwills72tag:github.com,2008:Repository/141598698/v0.9.32022-10-06T06:29:47ZVersion 0.9.3<p>Add slpDGCM</p>ajwills72tag:github.com,2008:Repository/141598698/v0.9.22022-09-22T15:24:15ZVersion 0.9.2<p>slpSUSTAIN updated to include probability of identifying item as 'old'</p>ajwills72tag:github.com,2008:Repository/141598698/v0.9.12022-03-28T13:27:23ZVersion 0.9.1<p>Version 0.9.1 of the 'catlearn' package is now available.</p>
<p>Catlearn is an archive of thirteen formal models of categorization and<br>
learning. It's free and open source software ... and always will be. It has<br>
been downloaded 32,000 times.</p>
<p>Version 0.9.1 is an upgrade release with two new models (Models 4 and 5 from<br>
Paskewitz & Jones, 2020), and (non-breaking) improvements to the Gluck & Bower<br>
(1988) implementation.</p>
<p>Catlearn is a package for R, and is very easy to install within that<br>
environment. Make sure you're running the latest version of R, and then type:</p>
<p>install.packages('catlearn')</p>
<p>and then</p>
<p>library(catlearn).</p>
<p>For a tutorial introduction to catlearn, and the Open Models initiative more<br>
generally, see Wills et al. (2017). There is also information here:</p>
<p><a href="https://andywills.info/catlearn" rel="nofollow">https://andywills.info/catlearn</a></p>
<p>Thanks to all the contributors to catlearn, and particular thanks to Lenard<br>
Dome who contributed new code for the version 0.9.1 release.</p>
<p>All the best</p>
<p>Andy<br>
2022-03-28</p>
<p>Wills, A.J., O'Connell, G., Edmunds, C.E.R., & Inkster, A.B.(2017). Progress in<br>
modeling through distributed collaboration: Concepts, tools, and<br>
category-learning examples. The Psychology of Learning and Motivation</p>ajwills72tag:github.com,2008:Repository/141598698/v0.8.32022-01-18T08:56:48ZVersion 0.8.3<p>Minor fix for edge case installation bug</p>ajwills72tag:github.com,2008:Repository/141598698/v0.8.22022-01-10T14:00:08ZVersion 0.8.2<p>Minor enhancements to slpLMSnet</p>ajwills72tag:github.com,2008:Repository/141598698/v0.8.12022-01-05T11:55:15ZVersion 0.8.1<p>slpNNCAG and slpNNRAS added, implements Models 4 and 5 from Paskewitz & Jones (2020)</p>ajwills72tag:github.com,2008:Repository/141598698/v0.7.12019-10-10T10:38:28ZVersion 0.7.1<p>Stable version 0.7.1 ("Gooey Chocolate") release candidate, uploaded to CRAN for checking.</p>ajwills72tag:github.com,2008:Repository/141598698/v0.6.52019-10-03T13:06:03ZVersion 0.6.5<p>slpSUSTAIN upgraded - now can do unsupervised category learning, too.<br>
Two utility functions added: convertSUSTAIN, medin87train</p>ajwills72tag:github.com,2008:Repository/141598698/v0.6.42019-10-02T14:19:02ZVersion 0.6.4<p>slpMack75 added - Mackintosh (1975) associative learning model.</p>ajwills72