emtrees 0.2.0

Tree-based machine learning for embedded system

# emtrees Tree-based machine learning classifiers for embedded systems. Train in Python, deploy on microcontroller.

## Key features

Embedded-friendly Classifier

• Portable C99 code

• No stdlib required

• No dynamic allocations

• Integer/fixed-point math only

• Single header file, less than 100 lines

Convenient Training

• API-compatible with [scikit-learn](http://scikit-learn.org)

• Implemented in Python 3

• C classifier accessed via pybind11

[MIT licensed](./LICENSE.md)

## Status Proof-of-concept

Binary classification using Random Forests is implemented. Tested running on AVR, ESP8266 and Linux.

## Installing

Install from git

git clone https://github.com/jonnor/emtrees cd emtrees pip install ./

## Usage For now, see the [tests](./tests)

## TODO

0.2

• Add validation to performance benchmarks

• Run tests on/against microcontroller

1.0

• Support serializing/deserializing trees

• Support multi-target classification