n bin the
features, and then its linear time operation but the
threshold will be approximate.

And that will make your computation much faster.
- Efficient implementation of gradient boosting (5x sklearn)
- Improvements on original algorithm
- https://arxiv.org/abs/1603.02754
- Adds l1 and l2 penalty on leaf-weights
- Fast approximate split finding
- Scikit-learn compatible interface

---
# LightGBM
`conda install -c conda-forge lightgbm`

```python
from lightgbm.sklearn import LGBMClassifier
lgbm = LGBMCla