https://github.com/tgsmith61591/skutil

NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-learn and h2o extension classes (as well as caret classes for python). See more here: https://tgsmith61591.github.io/skutil
https://github.com/tgsmith61591/skutil

h2o machine-learning pandas python sklearn

Last synced: 7 months ago
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NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-learn and h2o extension classes (as well as caret classes for python). See more here: https://tgsmith61591.github.io/skutil

• Host: GitHub
• URL: https://github.com/tgsmith61591/skutil
• Owner: tgsmith61591
• License: bsd-3-clause
• Created: 2016-05-03T13:45:57.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2018-04-19T14:42:39.000Z (over 7 years ago)
• Last Synced: 2025-04-13T07:55:14.636Z (7 months ago)
• Topics: h2o, machine-learning, pandas, python, sklearn
• Language: Python
• Homepage:
• Size: 6.19 MB
• Stars: 31
• Watchers: 6
• Forks: 9
• Open Issues: 7
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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**Note: skutil has been deprecated and will no longer be supported. See its new sister project**: [skoot](https://github.com/tgsmith61591/skoot)





![h2o-sklearn](doc/images/h2o-sklearn.png)

# scikit-util

What began as a modest, succinct set of [sklearn](https://github.com/scikit-learn/scikit-learn) extension classes and utilities (as well as implementations of preprocessors from R packages like [caret](https://github.com/topepo/caret)) grew to bridge functionality between sklearn and [H2O](https://github.com/h2oai/h2o-3).  Now, scikit-util (skutil) brings the best of both worlds to H2O and sklearn, delivering an easy transition into the world of distributed computing that H2O offers, while providing the same, familiar interface that sklearn users have come to know and love. __View the [documentation here](https://tgsmith61591.github.io/skutil)__

### Pre-installation

Skutil adapts code from several R packages, and thus depends on the ability to compile Fortran code using `gcc`. For different platforms, there are different ways to install `gcc` (the easiest, of course, being [Homebrew](http://brew.sh/)):

  - __Mac OS__ (__note__: this can take a while):

```bash

$ brew install gcc

```

There is a bug in some setups that will still cause issues in symlinking the `gcc` files via homebrew. If this is the case, the following line should clear things up:

```bash

$ brew link --overwrite gcc

```

  - __Linux__:

```bash

$ sudo apt-get install gcc

```

  - For Windows, follow [this tutorial](http://www.preshing.com/20141108/how-to-install-the-latest-gcc-on-windows/)

### Installation:

Installation is easy. After cloning the project onto your machine and installing the required dependencies, simply use the `setup.py` file:

```bash

$ git clone https://github.com/tgsmith61591/skutil.git

$ cd skutil

$ python setup.py install

```

### Testing

After installation, you can launch the test suite from outside the source directory (you will need to have the `nose` package installed):

```bash

$ nosetests -v skutil

```

#### Examples:

  - See the [example ipython notebooks](https://github.com/tgsmith61591/skutil/tree/master/doc/examples)