glowfi.sh in PHP for the Big Web: Now with machine guns and rocket launchers

Installation

Download the folder glowfish and drop it anywhere in your php application.

Setup

require_once('/path/to/glowfish/Glower.php');
$glower = new Glower('<GLOWFISH_SID>', '<GLOWFISH_AUTH_TOKEN>');

Useage

Get ready for some simple machine learning...

Training

$glower->train(array( # the data set
    'feature_name1' => array(1, 2, 3, 4, ...etc),
    'feature_name2' => array(9, 4, 5, 6, ...etc)
), array( # the response set
    'class' => array(4, 3, 5, 6, ...etc)
))

Training using CSVs

$glower->train_csv('./data_set.csv', './response.csv')

Predict It's important to note that predicting will throw an error if you have not trained against a data set first.

$glower->predict(array( # the data set
    'feature_name1' => array(1, 2, 3, 4, ...etc),
    'feature_name2' => array(9, 4, 5, 6, ...etc)
))

Predict using CSVs

$glower->predict_csv('./data_set.csv')

Clustering

$glower->cluster(array( # the data set
    'feature_name1' => array(1, 2, 3, 4, ...etc),
    'feature_name2' => array(9, 4, 5, 6, ...etc)
))

Clustering using CSVs

$glower->cluster_csv('./data_set.csv')

Feature Selection

$glower->feature_select(array( # the data set
    'feature_name1' => array(1, 2, 3, 4, ...etc),
    'feature_name2' => array(9, 4, 5, 6, ...etc)
), array( # the response set
    'class' => array(4, 3, 5, 6, ...etc)
))

Feature Selection using CSVs

$glower->feature_select_csv('./data_set.csv', './response.csv')

CSV File Format

Data Set

Feature 1, Feature 2, Feature 3,
1, 2, 3,
4, 5, 6,
7, 8, 9

Response Set

Response Key
1
2
3

Further Documentation

Docs - http://glowfish.readme.io/
Registration - http://glowfi.sh/