ROOT 6.12/07 Reference Guide |
Functions | |
def | normal (shape, name=None) |
Variables | |
data = TFile.Open('tmva_reg_example.root') | |
dataloader = TMVA.DataLoader('dataset') | |
factory | |
loss | |
model = Sequential() | |
name = branch.GetName() | |
optimizer | |
output = TFile.Open('TMVA.root', 'RECREATE') | |
tree = data.Get('TreeR') | |
def RegressionKeras.normal | ( | shape, | |
name = None |
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) |
Definition at line 42 of file RegressionKeras.py.
RegressionKeras.data = TFile.Open('tmva_reg_example.root') |
Definition at line 25 of file RegressionKeras.py.
RegressionKeras.dataloader = TMVA.DataLoader('dataset') |
Definition at line 28 of file RegressionKeras.py.
RegressionKeras.factory |
Definition at line 18 of file RegressionKeras.py.
RegressionKeras.loss |
Definition at line 52 of file RegressionKeras.py.
RegressionKeras.model = Sequential() |
Definition at line 46 of file RegressionKeras.py.
RegressionKeras.name = branch.GetName() |
Definition at line 30 of file RegressionKeras.py.
RegressionKeras.optimizer |
Definition at line 52 of file RegressionKeras.py.
RegressionKeras.output = TFile.Open('TMVA.root', 'RECREATE') |
Definition at line 17 of file RegressionKeras.py.
RegressionKeras.tree = data.Get('TreeR') |
Definition at line 26 of file RegressionKeras.py.