https://github.com/sadit/kernelmethods.jl

An opensource implementation of several kernel methods
https://github.com/sadit/kernelmethods.jl

Last synced: 3 months ago
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An opensource implementation of several kernel methods

• Host: GitHub
• URL: https://github.com/sadit/kernelmethods.jl
• Owner: sadit
• License: apache-2.0
• Created: 2017-10-11T16:19:47.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2020-02-09T14:25:03.000Z (over 5 years ago)
• Last Synced: 2025-02-20T23:25:50.965Z (3 months ago)
• Language: Julia
• Size: 97.7 KB
• Stars: 1
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# Kernel Methods

KernelMethods.jl is a library that implements and explores Kernel-Based Methods for _supervised learning_ and _semi-supervised learning_.

## Install

To start using `KernelMethods.jl` just type into an active Julia session

```julia

using Pkg

pkg"add https://github.com/sadit/KernelMethods.jl"

using KernelMethods

```

## Usage

`KernelMethods.jl` consists of the following parts

- *Scores*. It contains several common performance measures, i.e., accuracy, recall, precision, f1, precision_recall.

- *CrossValidation*. Some methods to perform cross validation, all of them work through callback functions:

   - `montecarlo`

   - `kfolds`

- *Supervised*. It contains methods related to supervised learning

   - `NearNeighborClassifier`. It defines a `KNN` classifier

   - `optimize!`

   - `predict`

   - `predict_proba`

Note: user defined distance functions are accepted; several common distances can be found in `SimilaritySearch.jl`

### Dependencies

KernelMethods.jl depends on

- [SimilaritySearch.jl](https://github.com/sadit/SimilaritySearch.jl)

## Final notes ##

To reach maximum performance, please ensure that Julia has access to the specific instruction set of your CPUs

[http://docs.julialang.org/en/latest/devdocs/sysimg/](http://docs.julialang.org/en/latest/devdocs/sysimg/)