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[doc] minor changes
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marscher committed Feb 5, 2019
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4 changes: 3 additions & 1 deletion doc/source/CHANGELOG.rst
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Expand Up @@ -4,6 +4,8 @@ Changelog
2.5.5 (??-??-????)
------------------

This version only supports Python 3.

**New features**:

- msm: for Bayesian MSMs we show an optional progress bar for the counting computation. :pr:`1344`
Expand All @@ -17,7 +19,7 @@ Changelog
the count matrix. :pr:`1343`
- plots: fix vmin, vmax keyword arguments for plot_contour(). :pr:`1376`
- coordinates: forcefully enable checking of coordinates data streaming for invalid (not initialized) data. :pr:`1384`
- coordinates: for sake of faster strided MD data reading, we now require a version of MDTraj >= 1.9.2 :pr:`1391`
- coordinates: for sake of faster strided MD data reading, we now require a version of MDTraj >= 1.9.2 :pr:`1391`
- coordinates: VAMP: changed default projection vector from right to left, since only the left singular functions induce
a kinetic map wrt. the conventional forward propagator, while the right singular functions induce
a kinetic map wrt. the backward propagator. :pr:`1394`
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2 changes: 1 addition & 1 deletion doc/source/INSTALL.rst
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Expand Up @@ -13,7 +13,7 @@ Anaconda install (Recommended)
==============================

We strongly recommend to use the Anaconda scientific python distribution in order to install
python-based software, including PyEMMA. Python-based software is not trivial to distribute
Python-based software, including PyEMMA. Python-based software is not trivial to distribute
and this approach saves you many headaches and problems that frequently arise in other installation
methods. You are free to use a different approach (see below) if you know how to sort out problems,
but play at your own risk.
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2 changes: 1 addition & 1 deletion doc/source/index.rst
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Expand Up @@ -22,7 +22,7 @@ examples:

Technical features:

* Code is implemented in Python (supports 3.4/3.5/3.6) and C.
* Code is implemented in Python (supports 3.5/3.6 and 3.7) and C.
* Runs on Linux (64 bit), Windows (32 or 64 bit) or MacOS (64 bit).
* MD data can be either loaded (fast processing but high memory requirements) or streamed (slower processing but
low memory requirements).
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