I converted the xgboost binary classification model to C++ code, compiled it into an exe program, ran it on a large scale dataset and found that the program ran out of memory, the memory usage went up from the initial 30MB to 1.5GB, and then ran out of memory, and after debugging I found that it seems to be this line of code that causes the memory to keep increasing:
`#ifndef linux
include "stdafx.h"
endif
include
include
double g_array[2] = { 0.0, 0.0 }; double make_array(double x, double y) { g_array[0] = x; g_array[1] = y; return g_array; } void score(double input, double output) { double var0; if ((input[487]) >= (0.5)) { if ((input[149]) >= (0.5)) { if ((input[69]) >= (0.5)) { if ((input[396]) >= (1.5)) { if ((input[379]) >= (40.5)) { if ((input[436]) >= (67.5)) { if ((input[65]) >= (32.5)) { var0 = -0.4347826; ... ... ... ... ... ...
} } } } double var55; var55 = (1.0) / ((1.0) + (exp((0.0) - (((((((((((((((((((((((((((((((((((((((((((((((((((((((var0) + (var1)) + (var2)) + (var3)) + (var4)) + (var5)) + (var6)) + (var7)) + (var8)) + (var9)) + (var10)) + (var11)) + (var12)) + (var13)) + (var14)) + (var15)) + (var16)) + (var17)) + (var18)) + (var19)) + (var20)) + (var21)) + (var22)) + (var23)) + (var24)) + (var25)) + (var26)) + (var27)) + (var28)) + (var29)) + (var30)) + (var31)) + (var32)) + (var33)) + (var34)) + (var35)) + (var36)) + (var37)) + (var38)) + (var39)) + (var40)) + (var41)) + (var42)) + (var43)) + (var44)) + (var45)) + (var46)) + (var47)) + (var48)) + (var49)) + (var50)) + (var51)) + (var52)) + (var53)) + (var54))))); memcpy(output, make_array((1.0) - (var55), var55), 2 sizeof(double)); }
`
I converted the xgboost binary classification model to C++ code, compiled it into an exe program, ran it on a large scale dataset and found that the program ran out of memory, the memory usage went up from the initial 30MB to 1.5GB, and then ran out of memory, and after debugging I found that it seems to be this line of code that causes the memory to keep increasing:
memcpy(output, make_array((1.0) - (var55), var55), 2 * sizeof(double));