composer.json

{
    "name": "rubix/har",
    "type": "project",
    "description": "Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.",
    "homepage": "https://github.com/RubixML/HAR",
    "license": "MIT",
    "readme": "README.md",
    "keywords": [
        "classification", "classifier", "cross validation", "dataset", "data science",
        "dimensionality reduction", "example project", "har", "human activity recognition",
        "imu sensor", "machine learning", "ml", "mobile phone sensor", "momentum", "php", "php ml",
        "rubix ml", "rubixml", "softmax", "tutorial"
    ],
    "authors": [
        {
            "name": "Andrew DalPino",
            "homepage": "https://github.com/andrewdalpino",
            "role": "Lead Engineer"
        }
    ],
    "require": {
        "php": ">=8.3",
        "rubix/ml": "^3.0"
    },
    "scripts": {
        "train": "@php train.php",
        "test": "@php validate.php"
    },
    "config": {
        "preferred-install": "dist",
        "sort-packages": true
    },
    "minimum-stability": "dev",
    "prefer-stable": true
}