composer.json

{
    "name": "rubix/divorce",
    "type": "project",
    "description": "Use the K Nearest Neighbors algorithm to predict the probability of a divorce.",
    "homepage": "https://github.com/RubixML/Divorce",
    "license": "MIT",
    "keywords": [
        "classification", "cross validation", "dataset", "data science", "divorce prediction",
        "example project", "k nearest neighbors", "knn", "machine learning", "ml", "php",
        "php ml", "rubix ml", "rubixml", "tutorial"
    ],
    "authors": [
        {
            "name": "Andrew DalPino",
            "homepage": "https://github.com/andrewdalpino",
            "role": "Lead Engineer"
        }
    ],
    "require": {
        "php": ">=7.4",
        "rubix/ml": "^2.0"
    },
    "scripts": {
        "explore": "@php explore.php",
        "train": "@php train.php",
        "simulate": "@php simulate.php"
    },
    "config": {
        "preferred-install": "dist",
        "sort-packages": true
    },
    "minimum-stability": "dev",
    "prefer-stable": true
}