gemseo.mlearning.regression.quality.me_measure module#
The maximum error to assess the quality of a regression algorithm.
The maximum error (ME) is defined by
$$operatorname{ME}(hat{y})=max_{1leq i leq n}|hat{y}_i-y_i|,$$
where $hat{y}$ are the predictions and $y$ are the data points.
- class MEMeasure(algo, fit_transformers=False)[source]#
Bases:
BaseRegressorQuality
The maximum error to assess the quality of a regressor.
- Parameters:
algo (BaseRegressor) -- 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.