HistogramBasedGradientBoosting.md (498B)
1 # Histogram Based Gradient Boosting (HGB) 2 3 ML D5 4 5 **Definition:** Histogram based gradient boosting is an implementation of gradient boosting that uses binning of input features. 6 7 This is much faster than normal gradient boosting. Also, the normal way of doing this is by rounding to integers for values. 8 9 This is hundreds of times faster in training than gradient boosting on large datasets. At the cost of precision. With that said, binning also acts as a regularizer to help reduce overfitting.