Execution Time7.11s

Test: tutorial-legacy-mlp-mlpHiggs (Passed)
Build: master-x86_64-centos7-clang100-opt-no-rt-cxxmodules (olsnba08.cern.ch) on 2019-11-14 01:39:53
Repository revision: 32b17abcda23e44b64218a42d0ca69cb30cda7e0

Test Timing: Passed
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Test output
Processing /data/sftnight/workspace/root-benchmark-no-rt-cxxmodules/BUILDTYPE/Release/COMPILER/clang_gcc62/LABEL/performance-sandy-cc7/root/tutorials/legacy/mlp/mlpHiggs.C...
accessing mlpHiggs.root file from http://root.cern.ch/files
Info in <TMultiLayerPerceptron::Train>: Using 979 train and 979 test entries.
Training the Neural Network
Epoch: 0 learn=0.127991 test=0.12727
Epoch: 10 learn=0.0979106 test=0.0921641
Epoch: 20 learn=0.092917 test=0.0881327
Epoch: 30 learn=0.0921576 test=0.0880982
Epoch: 40 learn=0.0911395 test=0.0874246
Epoch: 50 learn=0.0908205 test=0.0879932
Epoch: 60 learn=0.0903892 test=0.0875266
Epoch: 70 learn=0.0897194 test=0.0862458
Epoch: 80 learn=0.0894537 test=0.0862515
Epoch: 90 learn=0.0891736 test=0.086162
Epoch: 99 learn=0.0889644 test=0.0862003
Training done.
test.py created.
Network with structure: @msumf,@ptsumf,@acolin:5:3:type
inputs with low values in the differences plot may not be needed
@msumf -> 0.0145773 +/- 0.0159404
@ptsumf -> 0.0280233 +/- 0.0387066
@acolin -> 0.0296085 +/- 0.0375881