how to visualize rules for *Rule*-methods where there is no method ".vizualize()"

[avraam-inside]

Hi!

There are methods such as:
SkopeRulesClassifier
BoostedRulesClassifier
BayesianRuleSetClassifier
OptimalRuleListClassifier
BayesianRuleListClassifier
GreedyRuleListClassifier
FIGS Classifier
FIGSRegressor
etc

Which sort of return a list of rules, but which don't have a convenient method."vizualize()" as for RuleFitClassifier, RuleFitRegressor.

How can I get a list of rules received as a Data Frame for them?

I was trying to get a clear output set through running this example:

https://csinva.io/imodels/rule_set/skope_rules.html

and on your own dataset:

1. Dataset: data.csv
2. Code: scope_rules_1_myself.txt (please, change *.txt ext to *.ipynb)

Unfortunately, the result is a bit unreadable:

[csinva]

Hello 👋, thanks for your interest in this package!

Thanks for this comment, will work on getting a clear and consistent visualization for the models some time this week!

[csinva]

I've started adding support for different models simply in the __str__ function. So if you have a model m (e.g. m=FIGSClassifier), you can call str(m) or print(m) to visualize it.

[csinva]

The demo notebook now shows examples of how to visualize most of the models.