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May I know if there are any examples of causal-learn usage on mixed data (categorical and continuous/ordinal)? This is supported in tetrad. Many thanks!
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@jdramsey thank you for the follow-up by e-mail! I will post it here so it is easy for everyone to reference. Here's my original question:
> I’ve been able to use BOSS via CLI on Causal CMD and the…
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When using the KinnersleyNullTetrad function the φ component mStar evaluates to Indeterminate with error messages relating to Simplify (see screenshot).
![Screen Shot 2019-03-28 at 12 50 23](https:…
ofl23 updated
5 years ago
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Distributor ID: Ubuntu
Description: Ubuntu 16.04.2 LTS
Release: 16.04
Codename: xenial
```
# note: this works, well, doesn't work, that is, it breaks with "real" (read: "truthy") data as well =…
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In ColorGeneratorCtrl.js is the following code for the constantin algorithm:
```
var baseTriad = tinycolor(hex).tetrad();
[...]
getColorObject(tinycolor.mix(baseDark, baseTriad[4], 15).saturate(…
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Hi,
Thank you for the excellent repository! It has been exciting exploring the discovery tools in this repository lately. I was using the data from Sachs et al. 2005 before I realized the data was …
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Rephrase FCI and similar checkbox arguments to avoid the "Yes if " construct.
Instead of "Yes if (one edge) faithfulness should be assumed", just use
"Assume (one edge) faithfulness?" ...etc.
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This is a small note for known issue:
Checked Java's internal object after setting prior knowledge in r-causal.
Looks omitted 1 of 2 Forbidden Directed Edge: Between column1 And column12
I …