Commit 1f239820 authored by Bharath Ramsundar's avatar Bharath Ramsundar Committed by GitHub
Browse files

Update install directions and version number.

Also removing `openbabel` segfault instructions since we don't depend on openbabel.
parent ee6a3963
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+5 −14
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@@ -10,7 +10,10 @@ Stanford and originally created by [Bharath Ramsundar](http://rbharath.github.io
### Table of contents:

* [Requirements](#requirements)
* [Installation from Source](#installation)
* [Installation](#installation)
    * [Conda Environment](#using-a-conda-environment)
    * [Direct from Source](#installing-dependencies-manually)
    * [Docker](#using-a-docker-image)
* [FAQ](#faq)
* [Getting Started](#getting-started)
    * [Input Formats](#input-formats)
@@ -154,18 +157,6 @@ import deepchem as dc
   conda install nomkl numpy scipy scikit-learn numexpr
   conda remove mkl mkl-service
   ```
2. Question: The test suite is core-dumping for me. What's up?
   ```
   [rbharath]$ nosetests -v deepchem --nologcapture
   Illegal instruction (core dumped)
   ```

   Answer: This is often due to `openbabel` issues on older linux systems. Open `ipython` and run the following
   ```
   In [1]: import openbabel as ob
   ```
   If you see a core-dump, then it's a sign there's an issue with your `openbabel` install. Try reinstalling `openbabel` from source for your machine.


## Getting Started
The first step to getting started is looking at the examples in the `examples/` directory. Try running some of these examples on your system and verify that the models train successfully. Afterwards, to apply `deepchem` to a new problem, try starting from one of the existing examples and modifying it step by step to work with your new use-case.
@@ -709,4 +700,4 @@ DeepChem is a package by the [Pande group](https://pande.stanford.edu/) at Stanf


## Version
1.0.1
1.1.0