Alexander L. Hayes

Results 16 issues of Alexander L. Hayes

The website points to https://icons.coreui.io/license/ as the main point of reference for the license for this project. However, this seems to be for the "PRO" version? --- The LICENSE might...

It would be cool if there was a configuration option to support Open Graph protocol or Twitter cards when sharing examples: - [Open Graph protocol](https://ogp.me/): "*enables any web page to...

enhancement

## Overview I get this error: ```console ERROR: UndefVarError: i not defined Stacktrace: [1] scale_stamps_turbo(data::Vector{DateTime}) @ Main ./REPL[7]:5 [2] top-level scope @ REPL[15]:1 ``` When running: ```julia using Dates using...

Basically: my commits look like this: ``` 8cdb046 (origin/main, main) ✏️ Fix typo: `D` -> `B` 62c7da0 ✨ Update spring schedule images 2b0c7a9 🔒 Upgrade `vite` ``` ... but GitButler...

bug

According to the Excalidraw help menu, "Full Screen" mode can be toggled with F: ![screenshot from excalidraw help showing full screen mode can be toggled with the F key](https://github.com/excalidraw/excalidraw/assets/11916674/e6fe3913-360a-4385-ad4e-865412b21bed) ......

UX/UI
shortcuts

### Describe the feature or problem you’d like to solve I regularly start a project, open my browser, navigate to https://github.com/github/gitignore, search for a language, and copy the contents. ###...

enhancement
core

This is an ongoing list of algorithms and learning methods that may be worth exploring/incorporating into `srlearn`. **Classification**: - TILDE (tree learning without boosting) - BoostedMLN - [starling](https://starling.utdallas.edu/software/boostsrl/wiki/mln-boost/), [paper](https://ftp.cs.wisc.edu/machine-learning/shavlik-group/khot.icdm11.pdf) -...

enhancement

**Describe the bug** Printing the deprecated `BoostedRDN` objects raises a `ValueError`, but printing a `BoostedRDNClassifier` does not. ```python Traceback (most recent call last): File "bug_report.py", line 25, in print(clf) File...

bug

This fails a lot of the tests currently. The idea is to split out the specific solvers from the classifier implementation. Further down the path of "Make BoostSRL optional."

Add `srlearn.multiclass`