------------------------------------------------------------ | Welcome to ROOT 6.16/00 https://root.cern | | (c) 1995-2018, The ROOT Team | | Built for linuxx8664gcc on Jan 26 2019, 01:58:00 | | From tag , 23 January 2019 | | Try '.help', '.demo', '.license', '.credits', '.quit'/'.q' | ------------------------------------------------------------ Testing Method DL for CPU backend: DataSetInfo : [dataset] : Added class "Signal" : Add Tree sgn of type Signal with 562958 events DataSetInfo : [dataset] : Added class "Background" : Add Tree bkg of type Background with 1634025 events cutsStr = nTrain_Signal=281479:nTrain_Background=817012:SplitMode=Random:NormMode=NumEvents:!V Factory : Booking method: DL_CNN_GPU : : Parsing option string: : ... "!H:V:ErrorStrategy=CROSSENTROPY:WeightInitialization=XAVIERUNIFORM:InputLayout=2|60|60:BatchLayout=256|2|3600:Layout=CONV|6|3|3|1|1|0|0|TANH,MAXPOOL|2|2|2|2,RESHAPE|FLAT,DENSE|10|TANH,DENSE|2|LINEAR:TrainingStrategy=LearningRate=1e-1,Optimizer=SGD,Momentum=0.9,Repetitions=1,ConvergenceSteps=20,BatchSize=256,TestRepetitions=10,WeightDecay=1e-4,Regularization=L2,MaxEpochs=100DropConfig=0.0+0.5+0.5+0.5|LearningRate=1e-2,Optimizer=SGD,Momentum=0.9,Repetitions=1,ConvergenceSteps=20,BatchSize=256,TestRepetitions=5,WeightDecay=1e-4,Regularization=L2,MaxEpochs=50DropConfig=0.0+0.0+0.0+0.0|LearningRate=1e-3,Optimizer=SGD,Momentum=0.0,Repetitions=1,ConvergenceSteps=20,BatchSize=256,TestRepetitions=5,WeightDecay=1e-4,Regularization=L2,MaxEpochs=50DropConfig=0.0+0.0+0.0+0.0:Architecture=GPU" : The following options are set: : - By User: : : - Default: : Boost_num: "0" [Number of times the classifier will be boosted] : Parsing option string: : ... "!H:V:ErrorStrategy=CROSSENTROPY:WeightInitialization=XAVIERUNIFORM:InputLayout=2|60|60:BatchLayout=256|2|3600:Layout=CONV|6|3|3|1|1|0|0|TANH,MAXPOOL|2|2|2|2,RESHAPE|FLAT,DENSE|10|TANH,DENSE|2|LINEAR:TrainingStrategy=LearningRate=1e-1,Optimizer=SGD,Momentum=0.9,Repetitions=1,ConvergenceSteps=20,BatchSize=256,TestRepetitions=10,WeightDecay=1e-4,Regularization=L2,MaxEpochs=100DropConfig=0.0+0.5+0.5+0.5|LearningRate=1e-2,Optimizer=SGD,Momentum=0.9,Repetitions=1,ConvergenceSteps=20,BatchSize=256,TestRepetitions=5,WeightDecay=1e-4,Regularization=L2,MaxEpochs=50DropConfig=0.0+0.0+0.0+0.0|LearningRate=1e-3,Optimizer=SGD,Momentum=0.0,Repetitions=1,ConvergenceSteps=20,BatchSize=256,TestRepetitions=5,WeightDecay=1e-4,Regularization=L2,MaxEpochs=50DropConfig=0.0+0.0+0.0+0.0:Architecture=GPU" : The following options are set: : - By User: : V: "True" [Verbose output (short form of "VerbosityLevel" below - overrides the latter one)] : H: "False" [Print method-specific help message] : InputLayout: "2|60|60" [The Layout of the input] : BatchLayout: "256|2|3600" [The Layout of the batch] : Layout: "CONV|6|3|3|1|1|0|0|TANH,MAXPOOL|2|2|2|2,RESHAPE|FLAT,DENSE|10|TANH,DENSE|2|LINEAR" [Layout of the network.] : ErrorStrategy: "CROSSENTROPY" [Loss function: Mean squared error (regression) or cross entropy (binary classification).] : WeightInitialization: "XAVIERUNIFORM" [Weight initialization strategy] : Architecture: "GPU" [Which architecture to perform the training on.] : TrainingStrategy: "LearningRate=1e-1,Optimizer=SGD,Momentum=0.9,Repetitions=1,ConvergenceSteps=20,BatchSize=256,TestRepetitions=10,WeightDecay=1e-4,Regularization=L2,MaxEpochs=100DropConfig=0.0+0.5+0.5+0.5|LearningRate=1e-2,Optimizer=SGD,Momentum=0.9,Repetitions=1,ConvergenceSteps=20,BatchSize=256,TestRepetitions=5,WeightDecay=1e-4,Regularization=L2,MaxEpochs=50DropConfig=0.0+0.0+0.0+0.0|LearningRate=1e-3,Optimizer=SGD,Momentum=0.0,Repetitions=1,ConvergenceSteps=20,BatchSize=256,TestRepetitions=5,WeightDecay=1e-4,Regularization=L2,MaxEpochs=50DropConfig=0.0+0.0+0.0+0.0" [Defines the training strategies.] : - Default: : VerbosityLevel: "Default" [Verbosity level] : VarTransform: "None" [List of variable transformations performed before training, e.g., "D_Background,P_Signal,G,N_AllClasses" for: "Decorrelation, PCA-transformation, Gaussianisation, Normalisation, each for the given class of events ('AllClasses' denotes all events of all classes, if no class indication is given, 'All' is assumed)"] : CreateMVAPdfs: "False" [Create PDFs for classifier outputs (signal and background)] : IgnoreNegWeightsInTraining: "False" [Events with negative weights are ignored in the training (but are included for testing and performance evaluation)] : RandomSeed: "0" [Random seed used for weight initialization and batch shuffling] : ValidationSize: "20%" [Part of the training data to use for validation. Specify as 0.2 or 20% to use a fifth of the data set as validation set. Specify as 100 to use exactly 100 events. (Default: 20%)] : Will use now the GPU architecture ! Factory : Train all methods