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update readme #122

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18 changes: 9 additions & 9 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -59,15 +59,15 @@ Tigramite is a causal time series analysis python package. It allows to

## Required python packages

- numpy
- scipy
- scikit-learn (optional, necessary for GPDC test)
- matplotlib (optional, only for plotting)
- networkx (optional, only for plotting and mediation)
- cython (optional, necessary for CMIknn)
- mpi4py (optional, necessary for using the parallelized script)
- dcor (optional, necessary for GPDC)
- gpytorch (optional, necessary for GPDCtorch implementation)
- numpy>=1.17.0
- scipy>=1.3.0
- scikit-learn>=0.21 (optional, necessary for GPDC test)
- matplotlib>=3.4.0 (optional, only for plotting)
- networkx>=2.4 (optional, only for plotting and mediation)
- cython>=0.29.12 (optional, necessary for CMIknn)
- mpi4py>=3.0.3 (optional, necessary for using the parallelized script)
- dcor>=0.5.3 (optional, necessary for GPDC)
- gpytorch>=1.4 (optional, necessary for GPDCtorch implementation)


## Installation
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2 changes: 1 addition & 1 deletion release_on_pip.sh
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Expand Up @@ -15,7 +15,7 @@
# cd v4210/

# Make sure to be in a clean anaconda
# conda create --name tigramite-release-4210 python=3.6
# conda create --name tigramite-release-4210 python=3.7
# conda activate tigramite-release-4210

# Pull tigramite github
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