]>
Commit | Line | Data |
---|---|---|
1ee39b3a | 1 | // This macro helps to decide if the training was successful and in addition |
2 | // if further training of the network is necessary. The shape of the training | |
3 | // progress should have a first deep stall and reaching a plateau. After several | |
4 | // training epochs the plateau will become a sloping line. If this slope results | |
5 | // again in a flat plateau the training is probably done. | |
6 | // The networks were saved using the date they were trained (yyyymmdd). | |
7 | // | |
8 | // Please enter the date of the network you want to monitor and the momentum bin.. | |
9 | // Bin 0 = 0.6 GeV/c | |
10 | // Bin 1 = 0.8 GeV/c | |
11 | // Bin 2 = 1.0 GeV/c | |
12 | // Bin 3 = 1.5 GeV/c | |
13 | // Bin 4 = 2.0 GeV/c | |
14 | // Bin 5 = 3.0 GeV/c | |
15 | // Bin 6 = 4.0 GeV/c | |
16 | // Bin 7 = 5.0 GeV/c | |
17 | // Bin 8 = 6.0 GeV/c | |
18 | // Bin 9 = 8.0 GeV/c | |
19 | // Bin 10 = 10.0 GeV/c | |
20 | ||
21 | #ifndef __CINT__ | |
22 | #include "TSystem.h" | |
23 | #include "qaRec/AliTRDpidRefMaker.h" | |
24 | #endif | |
25 | ||
26 | Int_t MonitorTraining(Int_t bin, Int_t Date){ | |
27 | ||
4070f709 | 28 | gSystem -> Load("libANALYSIS"); |
29 | gSystem -> Load("libTRDqaRec"); | |
1ee39b3a | 30 | |
31 | AliTRDpidRefMaker *ref = new AliTRDpidRefMaker(); | |
32 | ref->SetDebugLevel(2); | |
33 | ||
34 | ref->SetDate(Date); | |
35 | ref->MakeTrainingLists(); | |
36 | ref->MonitorTraining(bin); | |
37 | ||
38 | return 1; | |
39 | ||
40 | } |