From 15b7d9a2d5d42d09e765f76a32cb6de031119d1e Mon Sep 17 00:00:00 2001 From: Sebastian Bruijns <sebastian.bruijns@tuebingen.mpg.de> Date: Tue, 8 Aug 2023 17:00:50 +0200 Subject: [PATCH] Update file README.md --- README.md | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/README.md b/README.md index 075103b..2f67656 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,20 @@ [](https://travis-ci.org/mattjj/pyhsmm) +This is an edit to the existing pyhsmm package by [Matt Johnson](https://github.com/mattjj), [Alex Wiltschko](https://github.com/alexbw), [Yarden Katz](https://github.com/yarden), [Chia-ying (Jackie) Lee](https://github.com/jacquelineCelia), [Scott Linderman](https://github.com/slinderman), [Kevin Squire](https://github.com/kmsquire), [Nick Foti](https://github.com/nfoti). It is specifically adapted for the purpose of implementing an HDP-HSMM (infinite hidden Markov model with duration distributions) with dynamic logistic regression as observation distributions. + +Install together with sab_pybasicbayes like this: + +```python +conda create -n hdp_env_test python=3.7 pip numpy scipy matplotlib cython nose future requests +conda activate hdp_env_test + +pip install pypolyagamma + +pip install git+ssh://git@gitlab.tuebingen.mpg.de/agpd/sab_pybasicbayes.git +pip install git+ssh://git@gitlab.tuebingen.mpg.de/agpd/sab_pyhsmm.git +``` + # Bayesian inference in HSMMs and HMMs # This is a Python library for approximate unsupervised inference in -- GitLab