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XGBoost added

30 April 2019 | Product
by Ian Michael

Eigenvector have added XGBoost functionality to their PLS_Toolbox and Solo software. XGBoost models can be applied online with Solo_Predictor. XGBoost performs calibration and application of gradient-boosted decision tree models for classification. These are non-linear models which predict the probability of a test sample belonging to each of the modelled classes, hence they predict the class of a test sample.

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