Beginning Anomaly Detection Using

IRU

I

LQ UDQJH

OHQ GHWDFKHGBODEHO 

SUHGVDSSHQG GHWDFKHGBSUHG>I@

\BWUXHDSSHQG GHWDFKHGBODEHO>I@

SULQW

7HVW$FFXUDF\RIWKHPRGHORQWKH

WHVWLPDJHV^` IRUPDW FRUUHFWWRWDO

SUHGV QSH\H QXPBFODVVHV >SUHGV@

\BWUXH QSH\H QXPBFODVVHV >\BWUXH@

DXF URFBDXFBVFRUH QSURXQG SUHGV \BWUXH

SULQW

$8&^`IRUPDW DXF

Figure B-49.  The rest of the testing function. This deals with calculating the AUC 

score and accuracy value

The entire test function should look like Figure 

B-50

.

Figure B-50.  The entire test function, comprised of code from Figures 

B-48

 and 

B-49

appendix B   intro to pytorch

---

406

Finally, you can train our model as shown in Figure 

B-51

.

PRGHO 7&1 WR GHYLFH

FULWHULRQ QQ&URVV(QWURS\/RVV

RSWLPL]HU WRUFKRSWLP$GDP PRGHOSDUDPHWHUV 

OU OHDUQLQJBUDWH

7UDLQLQJSKDVH