danfo-model.js

function get_model() {
    const model = tf.sequential();
    model.add(tf.layers.dense({ inputShape: [7], units: 124, activation: 'relu', kernelInitializer: 'leCunNormal' }));
    model.add(tf.layers.dense({ units: 64, activation: 'relu' }));
    model.add(tf.layers.dense({ units: 32, activation: 'relu' }));
    model.add(tf.layers.dense({ units: 1, activation: "sigmoid" }))
    model.summary();
    return model
}