JasonWang
/
fastText
réplica de https://github.com/facebookresearch/fastText


			
				
					
						
						
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							<!DOCTYPE html>
<html>
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1.0, maximum-scale=1.0, user-scalable=no">
</head>
<body>
    <script type="module">
        const printVector = function(predictions, limit) {
            limit = limit || Infinity;

            for (let i=0; i<predictions.size() && i<limit; i++){
                let prediction = predictions.get(i);
                console.log(predictions.get(i));
            }
        }

        const trainCallback = (progress, loss, wst, lr, eta) => {
            console.log([progress, loss, wst, lr, eta]);
        };

        import {FastText, addOnPostRun} from "./fasttext.js";

        addOnPostRun(() => {
            let ft = new FastText();

            ft.trainUnsupervised("fil9", 'skipgram', {
                'lr':0.1,
                'epoch':1,
                'loss':'ns',
                'wordNgrams':2,
                'dim':50,
                'bucket':200000
            }, trainCallback).then(model => {
                let wordsInformation = model.getWords();
                printVector(wordsInformation[0], 30);   // words
                printVector(wordsInformation[1], 30);   // frequencies
            });
        });

    </script>
</body>

</html>