function recall$1(yTrue, yPred) {
	  return recall(yTrue, yPred);
	}
Computes the recall of the predictions with respect to the labels.

Example:
```js
const x = tf.tensor2d(
   [
     [0, 0, 0, 1],
     [0, 1, 0, 0],
     [0, 0, 0, 1],
     [1, 0, 0, 0],
     [0, 0, 1, 0]
   ]
);

const y = tf.tensor2d(
   [
     [0, 0, 1, 0],
     [0, 1, 0, 0],
     [0, 0, 0, 1],
     [0, 1, 0, 0],
     [0, 1, 0, 0]
   ]
);

const recall = tf.metrics.recall(x, y);
recall.print();
```

@param yTrue The ground truth values. Expected to be contain only 0-1 values.
@param yPred The predicted values. Expected to be contain only 0-1 values.
@return Recall Tensor.

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