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| // Get measurements for a new flower to generate a prediction | |
| // The first argument is the data, and the second is the shape. | |
| const inputData = tf.tensor2d([[4.8, 3.0, 1.4, 0.1]], [1, 4]); | |
| // Get the highest confidence prediction from our model | |
| const result = model.predict(inputData); | |
| const winner = irisClasses[result.argMax().dataSync()[0]]; | |
| // Display the winner | |
| console.log(winner); |