function meanSquaredError$2(yTrue, yPred) {
	  return meanSquaredError$1(yTrue, yPred);
	}
Loss or metric function: Mean squared error.

```js
const yTrue = tf.tensor2d([[0, 1], [3, 4]]);
const yPred = tf.tensor2d([[0, 1], [-3, -4]]);
const mse = tf.metrics.meanSquaredError(yTrue, yPred);
mse.print();
```

Aliases: `tf.metrics.MSE`, `tf.metrics.mse`.

@param yTrue Truth Tensor.
@param yPred Prediction Tensor.
@return Mean squared error Tensor.

@doc {heading: 'Metrics', namespace: 'metrics'}