How to convert DMP Psuedo code in Matlab code

I have read the solution of the other question that relate my question but I still don't understand.

Thank you a lot for youe help

Input: Training data D = {(x1, y1), (x2, y2), . . . ,(xn 0 sam , yn 0 sam )}, Set Ftop of selected features

Output: Classifier (8, b, Ftop)

1: Initialize parameter C for the linear SVM

2: Initialize mupper

3: Put mlower = round(0.2mupper), mbad = 0, mrev = 0, m = 0, nstop = round(0.20n 0 sam), 8 = [ ], E = [ ]

4: repeat

5: m = m + 1

6: Partition D into three random sets (D (m) train, D (m) test, D (m) disc)

7: Obtain the MP subclassifier φm = MPTrain(D (m) train, nstop)

8: Calculate the error rate em of subclassifier φm on the testing subsamples D (m) test 9: Append φm to list 8

10: Append em to list E

11: Put e¯ = 1 m Pm `=1 e`

12: if em > 2e¯ then

13: mbad = mbad + 1 14: end if

15: if em ≥ 0.5 then

16: mrev = mrev + 1

17: end if

18: until (mlower ≤ m < mupper and mbad > 0.2mupper) or

m = mupper

19: if mrev > 0.5mlower then

20: b = true

21: else

22: b = false

23: end if

24: return (8, b, Ftop)