Recently, basilisp(clojure on python VM) became usable inside python virtual environment. It eliminated the most obvious bugs present in 0.3.8. Basilisp still doesn't have project tooling yet, but it's still useful inside virtual environment. For data exploration in python, basilisp may be good enough because data exploration can be done in virtual environment. Try data exploration in basilisp REPL.
Hi folks, I have a dataset on which I would like to do logistic regression.. In the dataset there's a handful of continuous variables that I would like to measure "goodness of fit" for against a binary target variable, to decide which of the continuous variables to proceed with as categorical features for ML modelling. I have seen the guide for linear regression https://scicloj.github.io/noj/noj_book.linear_regression_intro.html but is there any guide available for logistic regression? I also noticed the distribution fitting guide https://scicloj.github.io/noj/noj_book.distribution_fitting.html but the example given is for a normal distribution, not a logistic one.. Basically I want to examine goodness of fit, not just numerically but also visually by plotting the curves. Thanks 🙏
Hi. It'd be better to ask on Zulip, where all the relevant people are present and we can follow up on this.