Function recall

recall(yTrue, yPred): Tensor

Computes the recall of the predictions with respect to the labels.

Example:

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();

Parameters

yTrue: Tensor<Rank>
The ground truth values. Expected to contain only 0-1 values.
yPred: Tensor<Rank>
The predicted values. Expected to contain only 0-1 values.

Returns Tensor

Recall Tensor.

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