Quality measures

Warning

Some capabilities may require the installation of GEMSEO with all its features and some others may depend on plugins.

Note

All the features of the wrapped libraries may not be exposed through GEMSEO.

F1Measure

Module: gemseo.mlearning.quality_measures.f1_measure

Required parameters

  • algo : MLClassificationAlgo

    A machine learning algorithm for classification.

Optional parameters

  • fit_transformers : bool, optional

    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 True.

MSEMeasure

Module: gemseo.mlearning.quality_measures.mse_measure

Required parameters

  • algo : MLRegressionAlgo

    A machine learning algorithm for regression.

Optional parameters

  • fit_transformers : bool, optional

    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 True.

R2Measure

Module: gemseo.mlearning.quality_measures.r2_measure

Required parameters

  • algo : MLRegressionAlgo

    A machine learning algorithm for regression.

Optional parameters

  • fit_transformers : bool, optional

    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 True.

RMSEMeasure

Module: gemseo.mlearning.quality_measures.rmse_measure

Required parameters

  • algo : MLRegressionAlgo

    A machine learning algorithm for regression.

Optional parameters

  • fit_transformers : bool, optional

    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 True.

SilhouetteMeasure

Module: gemseo.mlearning.quality_measures.silhouette_measure

Required parameters

  • algo : MLPredictiveClusteringAlgo

    A clustering algorithm.

Optional parameters

  • fit_transformers : bool, optional

    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 True.