init(maximumError:rootMeanSquaredError:)
Creates regressor metrics describing the quality of your model.
Declaration
init(maximumError: Double, rootMeanSquaredError: Double)Parameters
- maximumError:
The maximum error of the model for the training data.
- rootMeanSquaredError:
The root mean squared error of the model for the training data.
Discussion
You typically don’t initialize metrics directly. Instead you get metrics about your model after training. For example, when you train an MLRegressor, you can look at its trainingMetrics and validationMetrics properties. Additionally, you can check the performance on a test set with the evaluation(on:) method.