gemseo_mlearning / quality_measures

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mae_measure module

The mean absolute error to measure the quality of a regression algorithm.

The mean absolute error (MAE) is defined by

\[\operatorname{MAE}(\hat{y})=\frac{1}{n}\sum_{i=1}^n\|\hat{y}_i-y_i\|,\]

where \(\hat{y}\) are the predictions and \(y\) are the data points.

class gemseo_mlearning.quality_measures.mae_measure.MAEMeasure(algo, fit_transformers=False)

Bases: MLErrorMeasure

The mean absolute error measure for machine learning.

Parameters:

• algo (MLRegressionAlgo) – A machine learning algorithm for supervised learning.

• fit_transformers (bool) –

  Whether to re-fit the transformers when using resampling techniques. If False, use the transformers of the algorithm fitted from the whole learning dataset.

  By default it is set to False.

algo: MLSupervisedAlgo

The machine learning algorithm whose quality we want to measure.