FloatingPointError: The system is too ill-conditioned for this solver. The system is too ill-conditioned for this solver

FenTechSolutions / CausalDiscoveryToolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

https://fentechsolutions.github.io/CausalDiscoveryToolbox/html/index.html

MIT License

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FloatingPointError: The system is too ill-conditioned for this solver. The system is too ill-conditioned for this solver #150

Open sidraaleem12 opened 1 year ago

sidraaleem12 commented 1 year ago

Hi I am trying to reproduce "example_cgnn.ipynb", using my own data. I have normalized data using minmaxscaler(). However, when I use graph lasso to get the skeleton of as:

skeleton = glasso.predict(df)

I face the following error:

FloatingPointError: The system is too ill-conditioned for this solver. The system is too ill-conditioned for this solver. How to resolve this issue?

KathyForever commented 1 year ago

I'm having the same issue！Waiting for an answer