Tyrion

Small data analysis and machine learning framework for Clojure.
The aim is to provide the tools normally used in data-analysis/machine-learning in Clojure in one place.
It's built on top of common/available Clojure's related libraries like core.matrix and gorilla repl.

Why not broken-down into small libraries?
Because it's easier to start this way, and we're using most of it anyway :)

Leiningen

Status

Warning!!

Just started.. although useful for some of our daily tasks, yet still far from reliable.

Roadmap

1. Basic descriptive and inferential statistics
2. Common algorithms for classification and clustering
3. Regressions
4. Easy web-based visualisations

Already implemented

stats

mode, median, mean, quartiles, inter-quartile-range (iq-range), deviations, covariance, correlation, variance, std-dev

regressions

linear-regression (using OLS)

distance

euclidean, squared-euclidean, chebyshev, chi-square, correlation, cosine, cityblock (manhattan), hamming, jaccard
minkowski, span-norm, weighted-cityblock, weighted-euclidean, weighted-squared-euclidean, weigthed-hamming

view (using gorilla-plot)

list-plot-compose : like (compose & plot) but instead of plots, it takes lists (and fix the range issue).
plot-components : plot x-y of two key-pairs from a given list of maps.
lm-plot : linear-model plot, plot the xy-pairs and its linear-model function (as line).
lm-plot-compose : linear-model plot for several xy-pairs.

Usage

Basic usage for plotting:

1. You need to use gorilla-repl and you can read the instruction on its website on how to use it
2. Tyrion adds some features in tyrion.view namespace for plotting

License

Copyright © 2015 Zenius Education

Distributed under the Eclipse Public License either version 1.0 or (at your option) any later version.