Quantization takes numeric data and turns it into a discrete set of intervals.
For example, given labelled data such:
| Value | Label |
|---|---|
| 1 | true |
| 40 | true |
| 100 | false |
| 101 | false |
We might discover the intervals:
- less than 100 (true)
- 100 or more (false)
This is a reimplementation of the 1R quantization algorithm described in Holte (1993). It is a complement to https://crates.io/crates/oner_induction.
- API reference and usage
- An example application: https://github.com/d6y/oner
Copyright 2020 Richard Dallaway
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