◆ __init__()
| TMVAHelper.TMVAHelperXGB.__init__ |
( |
| self, |
|
|
| model_input, |
|
|
| model_name, |
|
|
| variables = [] ) |
◆ run_inference()
| TMVAHelper.TMVAHelperXGB.run_inference |
( |
| self, |
|
|
| df, |
|
|
| col_name = "mva_score" ) |
◆ model_input
| TMVAHelper.TMVAHelperXGB.model_input = model_input |
◆ model_name
| TMVAHelper.TMVAHelperXGB.model_name = model_name |
◆ nthreads
| TMVAHelper.TMVAHelperXGB.nthreads = ROOT.GetThreadPoolSize() |
◆ tmva_helper
| TMVAHelper.TMVAHelperXGB.tmva_helper |
Initial value:= ROOT.tmva_helper_xgb(self.model_input,
self.model_name,
self.nthreads)
◆ var_col
| str TMVAHelper.TMVAHelperXGB.var_col = f"tmva_vars_{self.model_name}" |
◆ variables
| list TMVAHelper.TMVAHelperXGB.variables = [str(var.GetString()) for var in variables_] |
The documentation for this class was generated from the following file: