https://github.com/cloudkj/lambda-ml

A small machine learning library written in Lisp (Clojure) aimed at providing simple, concise implementations of machine learning techniques and utilities.
https://github.com/cloudkj/lambda-ml

clojure lisp machine-learning

Last synced: 2 months ago
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A small machine learning library written in Lisp (Clojure) aimed at providing simple, concise implementations of machine learning techniques and utilities.

• Host: GitHub
• URL: https://github.com/cloudkj/lambda-ml
• Owner: cloudkj
• License: mit
• Created: 2015-08-07T06:03:18.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2018-11-03T06:21:13.000Z (about 6 years ago)
• Last Synced: 2024-08-09T18:35:52.849Z (6 months ago)
• Topics: clojure, lisp, machine-learning
• Language: Clojure
• Homepage:
• Size: 1.82 MB
• Stars: 76
• Watchers: 10
• Forks: 9
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# lambda-ml

A small machine learning library aimed at providing simple, concise

implementations of machine learning techniques and utilities. It is written in

Lisp (using the implementation du jour, Clojure) to maximize expressiveness and

enjoyment.

## Installation

Add the following dependency to your project:

[![Clojars Project](https://img.shields.io/clojars/v/lambda-ml.svg)](https://clojars.org/lambda-ml)

## Documentation

* [API Docs](https://cloudkj.github.io/lambda-ml/)

### Supervised Learning Algorithms

* [Artificial neural network](https://cloudkj.github.io/lambda-ml/lambda-ml.neural-network.html)

* [Decision tree](https://cloudkj.github.io/lambda-ml/lambda-ml.decision-tree.html)

* [Ensemble methods](https://cloudkj.github.io/lambda-ml/lambda-ml.ensemble.html)

* [K-nearest neighbors](https://cloudkj.github.io/lambda-ml/lambda-ml.nearest-neighbors.html)

* [Linear regression](https://cloudkj.github.io/lambda-ml/lambda-ml.regression.html)

* [Logistic regression](https://cloudkj.github.io/lambda-ml/lambda-ml.regression.html)

* [Naive Bayes](https://cloudkj.github.io/lambda-ml/lambda-ml.naive-bayes.html)

* [Random forest](https://cloudkj.github.io/lambda-ml/lambda-ml.random-forest.html)

### Unsupervised Learning Algorithms

* [DBSCAN](https://cloudkj.github.io/lambda-ml/lambda-ml.clustering.dbscan.html)

* [Hierarchical agglomerative clustering](https://cloudkj.github.io/lambda-ml/lambda-ml.clustering.hierarchical.html)

* [K-means](https://cloudkj.github.io/lambda-ml/lambda-ml.clustering.k-means.html)

* [Non-negative matrix factorization](https://cloudkj.github.io/lambda-ml/lambda-ml.factorization.html)

## Examples

* [Classifying handwritten digits with an artificial neural network](http://viewer.gorilla-repl.org/view.html?source=github&user=cloudkj&repo=lambda-ml&path=src/lambda_ml/examples/kaggle/digit_recognizer.clj)

* [DBSCAN example](http://viewer.gorilla-repl.org/view.html?source=github&user=cloudkj&repo=lambda-ml&path=src/lambda_ml/examples/worksheets/dbscan.clj)

* [Decision tree example](http://viewer.gorilla-repl.org/view.html?source=github&user=cloudkj&repo=lambda-ml&path=src/lambda_ml/examples/worksheets/decision_tree.clj)

* [Hierarchical agglomerative clustering example](http://viewer.gorilla-repl.org/view.html?source=github&user=cloudkj&repo=lambda-ml&path=src/lambda_ml/examples/worksheets/hierarchical.clj)

* [K-means example](http://viewer.gorilla-repl.org/view.html?source=github&user=cloudkj&repo=lambda-ml&path=src/lambda_ml/examples/worksheets/k_means.clj)

* [Predicting survival on the Titanic with logistic regression](http://viewer.gorilla-repl.org/view.html?source=github&user=cloudkj&repo=lambda-ml&path=src/lambda_ml/examples/kaggle/titanic.clj)

## License

Copyright © 2015-2018