Package Contents:
terrasensetk.algorithms.Regression.GradientBoostingRegressor.
GradientBoostingRegressor
Bases: terrasensetk.algorithms.IAlgorithm.IAlgorithm
terrasensetk.algorithms.IAlgorithm.IAlgorithm
Implementation of the GradientBoostingRegressor from the scikitlearn library
clone
fit
get_model
get_params
objective_function
predict
set_params
terrasensetk.algorithms.Regression.MLPRegressor.
MLPRegressor
Implementation of the MultiLayerPerceptronRegressor from the scikitlearn library
terrasensetk.algorithms.Regression.PLSRegressor.
PLSRegressor
Implementation of the PartialLeastSquaresRegressor from the scikitlearn library
terrasensetk.algorithms.Regression.RandomForestRegressor.
RandomForestRegressor
Implementation of the RandomForestRegressor from the scikitlearn library
terrasensetk.algorithms.Regression.SupportVectorRegression.
SupportVectorRegression
Implementation of the SupportVectorRegression from the scikitlearn library