You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I have a problem, that my results in c (using export_to_c) do not match with the model.predict_proba.
I checked the gxbooster if-else dump and realized, that m2cgen is not using all depth levels.
Exported tree:
if (input[1] >= 0.9447428) {
var0 = 0.22857143; // this looks like a summarized value
} else {
var0 = -0.23809524;
}
xgboost tree:
6:[f1<0.944742799] yes=13,no=14,missing=13
13:[f3<0.963606358] yes=25,no=26,missing=25
25:[f4<0.260004044] yes=43,no=44,missing=43
43:leaf=-0.636363626
44:leaf=-0
26:[f3<1.04691052] yes=45,no=46,missing=45
45:leaf=0.333333343
46:leaf=-0.230769232
14:[f4<-0.134770975] yes=27,no=28,missing=27 //<---------- this whole branch is summarized in the export as -0.238
27:leaf=-0.5
28:[f3<0.865021944] yes=47,no=48,missing=47
47:leaf=-0
48:leaf=0.416666657
Maybe I misunderstand something - -but this does not look right. :)
Can anyone advice please?
Thanks alot!
The text was updated successfully, but these errors were encountered:
I have a problem, that my results in c (using
export_to_c
) do not match with themodel.predict_proba
.I checked the gxbooster if-else dump and realized, that m2cgen is not using all depth levels.
Exported tree:
xgboost tree:
Maybe I misunderstand something - -but this does not look right. :)
Can anyone advice please?
Thanks alot!
The text was updated successfully, but these errors were encountered: