==> Start TMVARegressionApplication
                         : Booking "BDTG method" of type "BDT" from datasetreg/weights/TMVARegression_BDTG.weights.xml.
                         : Reading weight file: datasetreg/weights/TMVARegression_BDTG.weights.xml
<HEADER> DataSetInfo              : [Default] : Added class "Regression"
                         : Booked classifier "BDTG" of type: "BDT"
                         : Booking "DNN_CPU method" of type "DL" from datasetreg/weights/TMVARegression_DNN_CPU.weights.xml.
                         : Reading weight file: datasetreg/weights/TMVARegression_DNN_CPU.weights.xml
                         : Booked classifier "DNN_CPU" of type: "DL"
                         : Booking "KNN method" of type "KNN" from datasetreg/weights/TMVARegression_KNN.weights.xml.
                         : Reading weight file: datasetreg/weights/TMVARegression_KNN.weights.xml
                         : Creating kd-tree with 1000 events
                         : Computing scale factor for 1d distributions: (ifrac, bottom, top) = (80%, 10%, 90%)
<HEADER> ModulekNN                : Optimizing tree for 2 variables with 1000 values
                         : <Fill> Class 1 has     1000 events
                         : Booked classifier "KNN" of type: "KNN"
                         : Booking "LD method" of type "LD" from datasetreg/weights/TMVARegression_LD.weights.xml.
                         : Reading weight file: datasetreg/weights/TMVARegression_LD.weights.xml
                         : Booked classifier "LD" of type: "LD"
                         : Booking "PDEFoam method" of type "PDEFoam" from datasetreg/weights/TMVARegression_PDEFoam.weights.xml.
                         : Reading weight file: datasetreg/weights/TMVARegression_PDEFoam.weights.xml
                         : Read foams from file: datasetreg/weights/TMVARegression_PDEFoam.weights_foams.root
                         : Booked classifier "PDEFoam" of type: "PDEFoam"
--- TMVARegressionApp        : Using input file: /github/home/ROOT-CI/build/tutorials/machine_learning/data/tmva_reg_example.root
--- Select signal sample
                         : Rebuilding Dataset Default
--- End of event loop: Real time 0:00:01, CP time 1.380
--- Created root file: "TMVARegApp.root" containing the MVA output histograms
==> TMVARegressionApplication is done!