Unverified Commit 9a3e9593 authored by hsiao yi's avatar hsiao yi Committed by GitHub
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Add link to README.md

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@@ -169,7 +169,7 @@ import deepchem as dc
1. Question: I'm seeing some failures in my test suite having to do with MKL
   ```Intel MKL FATAL ERROR: Cannot load libmkl_avx.so or libmkl_def.so.```

   Answer: This is a general issue with the newest version of `scikit-learn` enabling MKL by default. This doesn't play well with many linux systems. See BVLC/caffe#3884 for discussions. The following seems to fix the issue
   Answer: This is a general issue with the newest version of `scikit-learn` enabling MKL by default. This doesn't play well with many linux systems. See [BVLC/caffe#3884](https://github.com/BVLC/caffe/issues/3884) for discussions. The following seems to fix the issue
   ```bash
   conda install nomkl numpy scipy scikit-learn numexpr
   conda remove mkl mkl-service