composer.json

{
    "name": "rubix/credit",
    "type": "project",
    "description": "An example project that predicts the risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset of credit card customers.",
    "homepage": "https://github.com/RubixML/Credit",
    "license": "MIT",
    "keywords": [
        "classification", "classifier", "credit score", "cross validation", "dataset", "data science",
        "data visualization", "default risk prediction", "dimensionality reduction", "example project",
        "logistic regression", "machine learning", "manifold learning", "ml", "one hot", "php", "php ml",
        "rubix ml", "rubixml", "t sne", "t-sne", "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"
    },
    "config": {
        "preferred-install": "dist",
        "sort-packages": true
    },
    "minimum-stability": "dev",
    "prefer-stable": true
}