#5 AbstainableLearner::classify segfaults

[James Bergstra]

[bergstrj@aphex test]$ gdb ../multiboost
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This GDB was configured as
"x86_64-redhat-linux-gnu"...Using host libthread_db
library "/lib64/libthread_db.so.1".

(gdb) run -traintest
dense_dense:mnistTrainSmall.x,mnistTrainSmallDense.y
dense_dense:mnistTestSmall.x,mnistTestSmallDense.y 100
-verbose 2 -learnertype SingleStumpLearner -outputinfo
results.dta
Starting program: /u/bergstrj/cvs/MultiBoost/multiboost
-traintest
dense_dense:mnistTrainSmall.x,mnistTrainSmallDense.y
dense_dense:mnistTestSmall.x,mnistTestSmallDense.y 100
-verbose 2 -learnertype SingleStumpLearner -outputinfo
results.dta
--> Using learner: SingleStumpLearner
INFO: trace: load
INFO: trace: consume_rows
LOG(src/IO/InputData.cpp:59) Loading input examples ...
2 ... 4 ... 8 ... 16 ... 32 ... 64 ... 128 ... 256 ...
512 ...
LOG(src/IO/InputData.cpp:142) Loaded 1000 examples
INFO: finished reading file... read 1000 examples
INFO: first example:
10 weights: 5.55556e-05 ... 5.55556e-05
-1 classIdx
"" label
10 labels: -1 ... -1
10 labelIdxs:
10 numNonzeroLabels
INFO: last example:
10 weights: 5.55556e-05 ... 5.55556e-05
-1 classIdx
"" label
10 labels: -1 ... -1
10 labelIdxs:
10 numNonzeroLabels
Sorting data...Done!
INFO: trace: load
INFO: trace: consume_rows
LOG(src/IO/InputData.cpp:59) Loading input examples ...
2 ... 4 ... 8 ... 16 ... 32 ... 64 ... 128 ... 256 ...
512 ...
LOG(src/IO/InputData.cpp:142) Loaded 1000 examples
INFO: finished reading file... read 1000 examples
INFO: first example:
10 weights: 5.55556e-05 ... 5.55556e-05
-1 classIdx
"" label
10 labels: -1 ... -1
10 labelIdxs:
10 numNonzeroLabels
INFO: last example:
10 weights: 5.55556e-05 ... 0.0005
-1 classIdx
"" label
10 labels: -1 ... 1
10 labelIdxs:
10 numNonzeroLabels
------- WORKING ON ITERATION 0 -------
Weak learner: SingleStumpLearner

Program received signal SIGSEGV, Segmentation fault.
0x000000000045e73d in
MultiBoost::AbstainableLearner::classify
(this=0x5e3640, pData=0x5c5f90, idx=0, classIdx=0) at
src/WeakLearners/AbstainableLearner.cpp:84
84 return _v[classIdx] * phi( pData, idx,
classIdx );
(gdb) print classIdx
$1 = 0
(gdb) print _v[0]
$2 = (const double &) @0x0: Cannot access memory at
address 0x0
(gdb) print _v
$3 = {<std::_Vector_base<double,std::allocator<double>
>> = {
_M_impl = {<std::allocator<double>> =
{<__gnu_cxx::__mt_alloc<double,__gnu_cxx::__common_pool_policy<__gnu_cxx::__pool,
true> >> = {<__gnu_cxx::__mt_alloc_base<double>> = {<No
data fields>}, <No data fields>}, <No data fields>},
_M_start = 0x0, _M_finish = 0x0, _M_end_of_storage =
0x0}}, <No data fields>}