Logo ROOT  
Reference Guide
 
Loading...
Searching...
No Matches
ApplicationRegressionKeras.py File Reference

Detailed Description

View in nbviewer Open in SWAN
This tutorial shows how to apply a trained model to new data (regression).

from ROOT import TMVA, TFile, TString, gROOT
from array import array
from subprocess import call
from os.path import isfile
# Setup TMVA
reader = TMVA.Reader("Color:!Silent")
# Load data
data = TFile.Open(str(gROOT.GetTutorialDir()) + '/machine_learning/data/tmva_reg_example.root')
tree = data.Get('TreeR')
branches = {}
for branch in tree.GetListOfBranches():
branchName = branch.GetName()
branches[branchName] = array('f', [-999])
tree.SetBranchAddress(branchName, branches[branchName])
if branchName != 'fvalue':
reader.AddVariable(branchName, branches[branchName])
# Book methods
reader.BookMVA('PyKeras', TString('dataset/weights/TMVARegression_PyKeras.weights.xml'))
# Print some example regressions
print('Some example regressions:')
for i in range(20):
print('True/MVA value: {}/{}'.format(branches['fvalue'][0],reader.EvaluateMVA('PyKeras')))
ROOT::Detail::TRangeCast< T, true > TRangeDynCast
TRangeDynCast is an adapter class that allows the typed iteration through a TCollection.
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void char Point_t Rectangle_t WindowAttributes_t Float_t Float_t Float_t Int_t Int_t UInt_t UInt_t Rectangle_t Int_t Int_t Window_t TString Int_t GCValues_t GetPrimarySelectionOwner GetDisplay GetScreen GetColormap GetNativeEvent const char const char dpyName wid window const char font_name cursor keysym reg const char only_if_exist regb h Point_t winding char text const char depth char const char Int_t count const char ColorStruct_t color const char Pixmap_t Pixmap_t PictureAttributes_t attr const char char ret_data h unsigned char height h Atom_t Int_t ULong_t ULong_t unsigned char prop_list Atom_t Atom_t Atom_t Time_t format
The Reader class serves to use the MVAs in a specific analysis context.
Definition Reader.h:64
Basic string class.
Definition TString.h:139
Date
2017
Author
TMVA Team

Definition in file ApplicationRegressionKeras.py.