Commit f09ee1b4 authored by Philipp Arras's avatar Philipp Arras
Browse files

NIFTy_7 -> NIFTy_8

parent 9b47dc10
NIFTy - Numerical Information Field Theory
==========================================
[![pipeline status](https://gitlab.mpcdf.mpg.de/ift/nifty/badges/NIFTy_7/pipeline.svg)](https://gitlab.mpcdf.mpg.de/ift/nifty/-/commits/NIFTy_7)
[![coverage report](https://gitlab.mpcdf.mpg.de/ift/nifty/badges/NIFTy_7/coverage.svg)](https://gitlab.mpcdf.mpg.de/ift/nifty/-/commits/NIFTy_7)
[![pipeline status](https://gitlab.mpcdf.mpg.de/ift/nifty/badges/NIFTy_8/pipeline.svg)](https://gitlab.mpcdf.mpg.de/ift/nifty/-/commits/NIFTy_8)
[![coverage report](https://gitlab.mpcdf.mpg.de/ift/nifty/badges/NIFTy_8/coverage.svg)](https://gitlab.mpcdf.mpg.de/ift/nifty/-/commits/NIFTy_8)
**NIFTy** project homepage:
[http://ift.pages.mpcdf.de/nifty](http://ift.pages.mpcdf.de/nifty)
......@@ -56,10 +56,10 @@ Optional dependencies:
### Sources
The current version of NIFTy7 can be obtained by cloning the repository and
switching to the NIFTy_7 branch:
The current version of NIFTy8 can be obtained by cloning the repository and
switching to the NIFTy_8 branch:
git clone https://gitlab.mpcdf.mpg.de/ift/nifty.git
git clone -b NIFTy_8 https://gitlab.mpcdf.mpg.de/ift/nifty.git
### Installation
......@@ -69,7 +69,7 @@ distributions, the "apt" lines will need slight changes.
NIFTy7 and its mandatory dependencies can be installed via:
sudo apt-get install git python3 python3-pip python3-dev
pip3 install --user git+https://gitlab.mpcdf.mpg.de/ift/nifty.git@NIFTy_7
pip3 install --user git+https://gitlab.mpcdf.mpg.de/ift/nifty.git@NIFTy_8
Plotting support is added via:
......
......@@ -256,6 +256,6 @@ GeoVI obtains the optimal expansion point :math:`\bar{\xi}` such that :math:`\ma
Analogous to the MGVI algorithm, :math:`\bar{\xi}` is obtained by minimization of the KL-divergence between :math:`\mathcal{P}` and :math:`\mathcal{Q}_{\bar{\xi}}` w.r.t. :math:`\bar{\xi}`.
Furthermore the KL is represented as a stochastic estimate using a set of samples drawn from :math:`\mathcal{Q}_{\bar{\xi}}` which is implemented in NIFTy7 via :func:`~nifty8.minimization.kl_energies.GeoMetricKL`.
A visual comparison of the MGVI and GeoVI algorithm can be found in `variational_inference_visualized.py <https://gitlab.mpcdf.mpg.de/ift/nifty/-/blob/NIFTy_7/demos/variational_inference_visualized.py>`_.
A visual comparison of the MGVI and GeoVI algorithm can be found in `variational_inference_visualized.py <https://gitlab.mpcdf.mpg.de/ift/nifty/-/blob/NIFTy_8/demos/variational_inference_visualized.py>`_.
.. [6] P. Frank, R. Leike, and T.A. Enßlin (2021), "Geometric Variational Inference"; `[arXiv:2105.10470] <https://arxiv.org/abs/2105.10470>`_
......@@ -8,7 +8,7 @@ distributions, the "apt" lines will need slight changes.
NIFTy7 and its mandatory dependencies can be installed via::
sudo apt-get install git python3 python3-pip python3-dev
pip3 install --user git+https://gitlab.mpcdf.mpg.de/ift/nifty.git@NIFTy_7
pip3 install --user git+https://gitlab.mpcdf.mpg.de/ift/nifty.git@NIFTy_8
Plotting support is added via::
......
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