4 ms·
I've only used it a little in side projects (xgboost + mlr); I think it works better than caret, though (not as brittle). Most of my day-to-day is text data (w
by perturbation 8y ago
I've only used it a little in side projects (xgboost + mlr); I think it works better than caret, though (not as brittle). Most of my day-to-day is text data (which mlr isn't really well suited for).
What originally drew me to it was a blog post [1] about using their model-based optimization framework for tuning hyperparameters. It's a lot more sophisticated than anything I've seen for Python, including hyperopt / hyperband.
[1]: http://mlr-org.github.io/How-to-win-a-drone-in-20-lines-of-R-code/ http://mlr-org.github.io/How-to-win-a-drone-in-20-lines-of-R...
- claytonjy 8y ago> Most of my day-to-day is text data Ah the concern about sparse matrices makes even more sense now! I love that tidytext can produce sparse tf-idf matrices...but hardly any models can use them :(