README

Composer Library for Machine Learning.

Requirements

Currently it requires PHP Version >= 7.2

How to install package

composer require devfym/intelliphp

Features

• Data
  • DataFrame
  • Series
• Math (method in DataFrame / Series)
  • Min, Max, Mean, Median
  • Standard Deviation
  • Variance
  • Quartile
• Statistic
  • Correlation
    • Pearson Correlation
    • Spearman Rank Correlation
    • Kendall Rank Correlation
  • Differences
    • F Test
  • Activation Function
    • ReLU
    • Sigmoid
    • Softmax
  • Validation
    • Mean Squared Error (MSE)
    • Root Mean Squared Error (RMSE)
• Regression
  • Linear Regression

Examples

DataFrame

// Call autoload to import Composer packages
require_once __DIR__ . '/vendor/autoload.php';

// Import DataFrame
use devfym\Data\DataFrame;

// Create new instance
$df = new DataFrame();

// Create sample array-formatted data
$data = [
    'name' => ['aaron','bambi','celine','dennise'],
    'age'  => [12, 14, 16, 18]
];

// set data into DataFrame
$df->readArray($data);

// Get Columns
$df->getColumns();

// Get Index
$df->getIndex();

// Get array of Name
$df->name->all();

// Get array of Age
$df->age->all();

// Get Mean of Age
$df->age->mean();

Linear Regression

// Call autoload to import Composer packages
require_once __DIR__ . '/vendor/autoload.php';

// Import LinearRegression
use devfym\Regression\LinearRegression;

// Create new instance 
$linear = new LinearRegression();

// Create Train Data
$x_train = [2, 4, 6, 8, 10];
$y_train = [1, 3, 5, 7, 9];

// Set Train Data into instance via setTrain(@array predictors, @array outcomes) method. 
$linear->setTrain($x_train, $y_train);

// Generate LinearRegression Model.
$linear->model();

// Predict Value by passing Predictor via predict(@float predictor) method.
$linear->predict(7);

// it will return a value of 6.

License

MIT