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ROOT 6.10/09 Reference Guide |
Functions | |
def | normal (shape, name=None) |
Variables | |
background = data.Get('TreeB') | |
data = TFile.Open('tmva_class_example.root') | |
dataloader = TMVA.DataLoader('dataset') | |
factory | |
loss | |
metrics | |
model = Sequential() | |
optimizer | |
output = TFile.Open('TMVA.root', 'RECREATE') | |
signal = data.Get('TreeS') | |
def ClassificationKeras.normal | ( | shape, | |
name = None |
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) |
Definition at line 41 of file ClassificationKeras.py.
ClassificationKeras.background = data.Get('TreeB') |
Definition at line 27 of file ClassificationKeras.py.
ClassificationKeras.data = TFile.Open('tmva_class_example.root') |
Definition at line 25 of file ClassificationKeras.py.
ClassificationKeras.dataloader = TMVA.DataLoader('dataset') |
Definition at line 29 of file ClassificationKeras.py.
ClassificationKeras.factory |
Definition at line 18 of file ClassificationKeras.py.
ClassificationKeras.loss |
Definition at line 51 of file ClassificationKeras.py.
ClassificationKeras.metrics |
Definition at line 51 of file ClassificationKeras.py.
ClassificationKeras.model = Sequential() |
Definition at line 45 of file ClassificationKeras.py.
ClassificationKeras.optimizer |
Definition at line 51 of file ClassificationKeras.py.
ClassificationKeras.output = TFile.Open('TMVA.root', 'RECREATE') |
Definition at line 17 of file ClassificationKeras.py.
ClassificationKeras.signal = data.Get('TreeS') |
Definition at line 26 of file ClassificationKeras.py.