Commit d18bf51f authored by Aryan Eftekhari's avatar Aryan Eftekhari
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readme update

parent 0175303d
# SQUIC for Python
SQUIC is a second-order, L1-regularized maximum likelihood method for performant large-scale sparse precision matrix estimation. This repository contains the source code for the Python(v3) interface of SQUIC.
**For an interactive session using SQUIC see Google Colab:**
**For an interactive session using SQUIC for Python see Google Colab:**
[![SQUIC for Python](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1iQB5hz07UMd5C1PR3w3xM3306BVcFGiO?usp=sharing)
......@@ -40,7 +40,7 @@ Y = np.linalg.solve(L.T,np.random.randn(p,n))
[X,W,info_times,info_objective,info_logdetX,info_trSX] = squic.run(Y,l)
```
For further details type ``help(SQUIC)``.
## Publications & References
Please cite our publications if it helps your research:
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