From abf0035d2a0f288422f62dfef031b0d50b608cfb Mon Sep 17 00:00:00 2001 From: jakobrunge Date: Thu, 14 Apr 2022 15:34:48 +0200 Subject: [PATCH] updated readme and LPCMCI tutorial --- README.md | 2 ++ release_on_pip.sh | 2 +- setup.py | 2 +- tutorials/tigramite_tutorial_latent-pcmci.ipynb | 2 +- 4 files changed, 5 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index e18742f7..2d33dbbc 100644 --- a/README.md +++ b/README.md @@ -7,6 +7,8 @@ Version 5.0 [Documentation](https://jakobrunge.github.io/tigramite/) +[Tutorials](https://github.com/jakobrunge/tigramite/tree/master/tutorials/) + [Simple GUI](https://github.com/stbachinger/TigramiteGui) ## Overview diff --git a/release_on_pip.sh b/release_on_pip.sh index f58aff9f..b7671540 100755 --- a/release_on_pip.sh +++ b/release_on_pip.sh @@ -1,6 +1,6 @@ #!/bin/bash -version="50115" +version="50116" # Steps to move from github to pip # (Make sure pypi token exists) diff --git a/setup.py b/setup.py index 477f2114..1aa2760a 100644 --- a/setup.py +++ b/setup.py @@ -63,7 +63,7 @@ def run(self): # Run the setup setup( name="tigramite", - version="5.0.1.16", + version="5.0.1.17", packages=["tigramite", "tigramite.independence_tests", "tigramite.toymodels"], license="GNU General Public License v3.0", description="Tigramite causal discovery for time series", diff --git a/tutorials/tigramite_tutorial_latent-pcmci.ipynb b/tutorials/tigramite_tutorial_latent-pcmci.ipynb index 4f8b5e2f..ff5a8f22 100644 --- a/tutorials/tigramite_tutorial_latent-pcmci.ipynb +++ b/tutorials/tigramite_tutorial_latent-pcmci.ipynb @@ -697,7 +697,7 @@ "id": "4292aca1", "metadata": {}, "source": [ - "Based on the results of `run_bivci`, we choose to apply LPCMCI with `tau_max = 5`. We further choose `pc_alpha = 0.01` and apart from that do not modify the default hyperparameter settings." + "Based on the results of `run_bivci`, we choose to apply LPCMCI with `tau_max = 5` since after that lag, the lag functions decay to zero. Note that this is only a heuristic. In addition, you may also check scatter plots as done in the PCMCI tutorial in order to choose an appropriate conditional independence test. We further choose `pc_alpha = 0.01` and apart from that do not modify the default hyperparameter settings." ] }, {