# This file was generated, do not modify it. # hide
linear = @load LinearRegressor pkg=MLJLinearModels
ridge = @load RidgeRegressor pkg=MultivariateStats; ridge.lambda = 0.01
knn = @load KNNRegressor; knn.K = 4
tree = @load DecisionTreeRegressor; min_samples_leaf=1
forest = @load RandomForestRegressor pkg=DecisionTree; forest.n_trees=500
svm = @load SVMRegressor;