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Update README.md #16

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# PySIDT
This repository contains PySIDT a low-data machine learning algorithm for predicting chemical properties. PySIDT is a general implementation of the subgraph isomorphic tree generation (SIDT) machine learning algorithm developed in <a href="https://chemrxiv.org/engage/chemrxiv/article-details/62c5c941c79aca239053967e">Johnson and Green 2021</a>. While the algorithm in that work was specific to rate coefficients this implementation can be applied to prediction of arbitrary properties.
This repository contains PySIDT, a package containing a set of low-data machine-learning algorithms for prediction of chemical properties based on the subgraph isomorphic tree generation (SIDT) approach originally developed in <a href="https://doi.org/10.1039/D3RE00684K">Johnson and Green 2021</a>.

# Installation from source
- Install [molecule](https://github.com/ReactionMechanismGenerator/molecule/tree/ts_len_improvements) from source
- `git clone https://github.com/ReactionMechanismGenerator/molecule.git`
- `cd molecule`
- `git checkout ts_len_improvements`
- `conda env create -f environment.yml --name=pysidt`
- `conda activate pysidt`
- `make`
- `pip install -e .`
- Install PySIDT from source
- `git clone https://github.com/zadorlab/PySIDT.git`
- `cd PySIDT`
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