tinguely 0.1.0

Machine learning library
Documentation 
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# tinguely

[![crate](https://img.shields.io/crates/v/tinguely.svg)](https://crates.io/crates/tinguely)
[![documentation](https://docs.rs/tinguely/badge.svg)](https://docs.rs/tinguely)
![minimum rustc 1.38.0](https://img.shields.io/badge/rustc-1.38.0-green.svg)
![maintenance](https://img.shields.io/badge/maintenance-actively--developed-brightgreen.svg)
------------
tinguely is a machine learning library implemented entirely in Rust.
This library is still in early stages of development.

## Features

tinguely uses [mathru]([https://crates.io/crates/mathru) for its linear
algebra calculations and optimization algorithms. There is still lots of
room for optimization, but BLAS/LAPACK support is already integrated.

Currently implemented algorithms:
- Clustering
  - DBSCAN
  - K-MEANS
- Regression
  - Linear Regression
- Classification
  - Logistic Regression
  - Support Vector Machine

The models all provide predict and train methods enforced by the
SupervisedLearn and UnsupervisedLearn traits.

## Usage

The library is most easily used with cargo. Include the following lines
in your Cargo.toml file:

```toml
[dependencies.tinguely]
version = "0.1.0"
```

Then import the modules and it is ready to be used:

``` rust
use tinguely as tg;
```