# DynamicQuantizer¶

Adapted version of the Quantizer Observer (QO)1 that is applied to Stochastic Gradient Trees (SGT).

This feature quantizer starts by partitioning the inputs using the passed radius value. As more splits are created in the SGTs, new feature quantizers will use std * std_prop as the quantization radius. In the expression, std represents the standard deviation of the input data, which is calculated incrementally.

## Parameters¶

• radius (float) – defaults to 0.5

• std_prop (float) – defaults to 0.25