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1.js
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1.js
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// Define the possible moves
const MOVES = ['scissors', 'rock', 'paper'];
// Define the model architecture
const model = new KerasJS.Model({
filepaths: {
model: 'path/to/model.json',
weights: 'path/to/weights.bin',
metadata: 'path/to/metadata.json'
},
gpu: false
});
// Define the function to predict the move based on the user input
function predictMove(userInput) {
// Check if the user input is valid
if (!MOVES.includes(userInput)) {
throw new Error('Invalid move');
}
// Encode the user input as one-hot vector
const x = MOVES.map(move => move === userInput ? 1 : 0);
// Make the prediction using the model
const output = model.predict({ input: x });
// Decode the output vector and return the predicted move
const predictedIndex = output.indexOf(Math.max(...output));
return MOVES[predictedIndex];
}
// Example usage:
console.log(predictMove('rock')); // Output: 'paper'