dsottimano/for Hamlet - index.html

## for Hamlet - index.html
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <meta http-equiv="X-UA-Compatible" content="ie=edge">
    <title>Document</title>
    <script src="index.js"></script>
</head>
<body>

    <script>
let model = new CPT();
let data = [
    ['hello', 'how', 'are', 'you'],
    ['hello', 'how', 'are', 'your', 'studies', 'going', '?'],
    ['This', 'is', 'a', 'test'],
    ['How', 'does', 'this', 'work']
]
model.train(
    data // Training Data
);

let target = [
    ['how', 'are']
];
let predictions = model.predict(
    target, // Test input
    2, // The number of last elements that will be used
       // to find similar sequences, (default: target.length)
    2  // The number of predictions required.
);
document.write(predictions)
console.log(predictions) // [['you'], ['your']]
    </script>
</body>
</html>
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<meta http-equiv="X-UA-Compatible" content="ie=edge">
	<title>Document</title>
	<script src="index.js"></script>
	</head>
	<body>

	<script>
	let model = new CPT();
	let data = [
	['hello', 'how', 'are', 'you'],
	['hello', 'how', 'are', 'your', 'studies', 'going', '?'],
	['This', 'is', 'a', 'test'],
	['How', 'does', 'this', 'work']
	]
	model.train(
	data // Training Data
	);

	let target = [
	['how', 'are']
	];
	let predictions = model.predict(
	target, // Test input
	2, // The number of last elements that will be used
	// to find similar sequences, (default: target.length)
	2 // The number of predictions required.
	);
	document.write(predictions)
	console.log(predictions) // [['you'], ['your']]
	</script>
	</body>
	</html>