turicreate.evaluation.rmse

turicreate.evaluation.rmse(targets, predictions)

Compute the root mean squared error between two SArrays.

Parameters:

targets : SArray[float or int]

An Sarray of ground truth target values.

predictions : SArray[float or int]

The prediction that corresponds to each target value. This vector must have the same length as targets.

Returns:

out : float

The RMSE between the two SArrays.

See also

max_error

Notes

The root mean squared error between two vectors, x and y, is defined as:

\[RMSE = \sqrt{\frac{1}{N} \sum_{i=1}^N (x_i - y_i)^2}\]

References

• Wikipedia - root-mean-square deviation

Examples

>>> targets = turicreate.SArray([3.14, 0.1, 50, -2.5])
>>> predictions = turicreate.SArray([3.1, 0.5, 50.3, -5])

>>> turicreate.evaluation.rmse(targets, predictions)
1.2749117616525465