line-clustering
Baby machine learning problem that clusters fruits on the basis of features.
Overview
Currently uses a simple vertical line model (x = constant). Randomly generates trainining data and learns to predict if a given fruit is apple or orange on the basis of weight. With current data generation, an accuracy of 89 % is achieved. All oranges are classified properly, the applese, hmm, not quite.
Setup
To get an interactive development environment run:
lein figwheel
and open your browser at localhost:3449. This will auto compile and send all changes to the browser without the need to reload. After the compilation process is complete, you will get a Browser Connected REPL. An easy way to try it is:
(js/alert "Am I connected?")
and you should see an alert in the browser window.
To clean all compiled files:
lein clean
To create a production build run:
lein do clean, cljsbuild once min
And open your browser in resources/public/index.html. You will not
get live reloading, nor a REPL.
License
Copyright © 2017 Shivek Khurana
Distributed under the Eclipse Public License either version 1.0 or (at your option) any later version.