#fpr,tpr = plotting.plot_roc_curve(X_total_test,y_total_test,clf)
#plotting.print_roc_report(fpr,tpr)
#plt.show()
#plt.bar(range(len(clf.feature_importances_)), clf.feature_importances_)
#plt.savefig(utils.IO.plotFolder+outTag+"importance1.eps")
#plt.show()
#
xgb.plot_importance(clf)
plt.savefig(utils.IO.plotFolder + outTag + "importance2.eps")
#plt.show()
fpr_dipho_2ndtest_2, tpr_dipho_2ndtest_2 = plotting.plot_roc_curve_multiclass_singleBkg(
X_total_test,
y_total_test,
clf,
-1,
1,
outTag + "test_xgbr_diphotons",
weights=w_total_test)
plotting.print_roc_report(fpr_dipho_2ndtest_2,
tpr_dipho_2ndtest_2,
outString=outTag + "test_xgbr_diphotons")
plt.savefig(utils.IO.plotFolder + outTag + "test_xgbr_diphotons.eps")
#plt.show()
fpr_gJets_2ndtest_2, tpr_gJets_2ndtest_2 = plotting.plot_roc_curve_multiclass_singleBkg(
X_total_test,
y_total_test,
clf,
-2,
1,
outTag + "test_xgbr_gJets",
import matplotlib as mpl
#if os.environ.get('DISPLAY','') == '':
# print('no display found. Using non-interactive Agg backend')
mpl.use('Agg')
import plotting_utils as plotting
reload(plotting)
import numpy as np
import matplotlib.pyplot as plt
reload(plt)
#test
#fpr_gJ,tpr_gJ = plotting.plot_roc_curve_multiclass_singleBkg(X_total_test,y_total_test,loaded_model,-1,outString="test_xgb_diphotons",weights=w_total_test)
#plt.savefig(utils.IO.plotFolder+"test_xgb_diphotons.eps")
##plt.show()
fpr_dipho,tpr_dipho = plotting.plot_roc_curve_multiclass_singleBkg(X_total_test,y_total_test,loaded_model,-2,outString="test_xgb_gJets",weights=w_total_test)
plt.savefig(utils.IO.plotFolder+"test_xgb_gJets.eps")
curve_roc = np.array([fpr_dipho, tpr_dipho])
np.savetxt('roc_test_dipho.txt', curve_roc)
#plt.show()
#train
#fpr_gJ_train,tpr_gJ_train = plotting.plot_roc_curve_multiclass_singleBkg(X_total_train,y_total_train,loaded_model,-1,outString="train_xgb_diphotons",weights=w_total_test)
#plt.savefig(utils.IO.plotFolder+"train_xgb_diphotons.eps")
##plt.show()
#fpr_dipho_train,tpr_dipho_train = plotting.plot_roc_curve_multiclass_singleBkg(X_total_train,y_total_train,loaded_model,-2,outString="train_xgb_gJets",weights=w_total_test)
#plt.savefig(utils.IO.plotFolder+"train_xgb_gJets.eps")
#plt.show()
print utils.IO.plotFolder
print "Finish"
