I applied the changes suggested in
https://github.com/erg/scikit-learn/commit/fa7d0b6ca0de74aec8ab207564329ffb3e62967fbut
I still get segfault running the previously posted code:
Program received signal SIGSEGV, Segmentation fault.
__pyx_f_7sklearn_4tree_5_tree_4Tree_find_best_split
(__pyx_v_self=<optimized out>, __pyx_v_X_ptr=0x7ffb5edb4010,
__pyx_v_X_stride=12000000, __pyx_v_X_argsorted_ptr=0x7ff922a6d010,
__pyx_v_X_argsorted_stride=12000000,
__pyx_v_y_ptr=0x7ff8f8737010, __pyx_v_y_stride=3,
__pyx_v_sample_weight_ptr=0x7fffe4241010,
__pyx_v_sample_mask_ptr=0x18139b0 "", __pyx_v_n_node_samples=7586675,
__pyx_v_weighted_n_node_samples=0.60797485709190369,
__pyx_v_n_total_samples=12000000, __pyx_v__best_i=0x7fffffffcb8c,
__pyx_v__best_t=0x7fffffffcb58,
__pyx_v__best_error=0x7fffffffcb60,
__pyx_v__initial_error=0x7fffffffcb68) at sklearn/tree/_tree.c:6727
6727 __pyx_t_5 =
((__pyx_v_sample_mask_ptr[(__pyx_v_X_argsorted_i[__pyx_v_a])]) == 0);
(gdb) bt
#0 __pyx_f_7sklearn_4tree_5_tree_4Tree_find_best_split
(__pyx_v_self=<optimized out>, __pyx_v_X_ptr=0x7ffb5edb4010,
__pyx_v_X_stride=12000000, __pyx_v_X_argsorted_ptr=0x7ff922a6d010,
__pyx_v_X_argsorted_stride=12000000,
__pyx_v_y_ptr=0x7ff8f8737010, __pyx_v_y_stride=3,
__pyx_v_sample_weight_ptr=0x7fffe4241010,
__pyx_v_sample_mask_ptr=0x18139b0 "", __pyx_v_n_node_samples=7586675,
__pyx_v_weighted_n_node_samples=0.60797485709190369,
__pyx_v_n_total_samples=12000000, __pyx_v__best_i=0x7fffffffcb8c,
__pyx_v__best_t=0x7fffffffcb58,
__pyx_v__best_error=0x7fffffffcb60,
__pyx_v__initial_error=0x7fffffffcb68) at sklearn/tree/_tree.c:6727
#1 0x00007fffead82721 in
__pyx_f_7sklearn_4tree_5_tree_4Tree_recursive_partition
(__pyx_v_self=0x174e3b0, __pyx_v_X=0xa631f0,
__pyx_v_X_argsorted=0x169f7d0, __pyx_v_y=0x1720f90,
__pyx_v_sample_weight=0x16a52c0, __pyx_v_sample_mask=0x169b8f0,
__pyx_v_n_node_samples=7586675,
__pyx_v_weighted_n_node_samples=12000000, __pyx_v_depth=0,
__pyx_v_parent=-1,
__pyx_v_is_left_child=0, __pyx_v_buffer_value=0x14bfda0) at
sklearn/tree/_tree.c:5211
#2 0x00007fffead73cff in __pyx_f_7sklearn_4tree_5_tree_4Tree_build
(__pyx_v_self=0x174e3b0, __pyx_v_X=0xa631f0,
__pyx_v_y=0x1720f90, __pyx_skip_dispatch=<optimized out>,
__pyx_optional_args=<optimized out>) at sklearn/tree/_tree.c:4613
#3 0x00007fffead72ff1 in __pyx_pf_7sklearn_4tree_5_tree_4Tree_10build
(__pyx_v_sample_weight=0x16a52c0,
__pyx_v_X_argsorted=0x169f7d0, __pyx_v_sample_mask=0x169b8f0,
__pyx_v_y=0x1720f90, __pyx_v_X=0xa631f0,
__pyx_v_self=0x174e3b0) at sklearn/tree/_tree.c:4800
#4 __pyx_pw_7sklearn_4tree_5_tree_4Tree_11build (__pyx_v_self=0x174e3b0,
__pyx_args=0x1768440, __pyx_kwds=<optimized out>)
at sklearn/tree/_tree.c:4769
#5 0x000000000049d585 in PyEval_EvalFrameEx ()
#6 0x000000000049f1c0 in PyEval_EvalCodeEx ()
#7 0x00000000004983b8 in PyEval_EvalFrameEx ()
#8 0x000000000049f1c0 in PyEval_EvalCodeEx ()
#9 0x00000000004a8a92 in ?? ()
#10 0x00000000004e9f36 in PyObject_Call ()
#11 0x0000000000499bc0 in PyEval_EvalFrameEx ()
#12 0x000000000049f1c0 in PyEval_EvalCodeEx ()
#13 0x00000000004a8960 in ?? ()
#14 0x00000000004e9f36 in PyObject_Call ()
#15 0x00000000004ec11a in ?? ()
#16 0x00000000004e9f36 in PyObject_Call ()
#17 0x00000000004eb39e in ?? ()
#18 0x00000000004db6a6 in ?? ()
#19 0x00000000004e9f36 in PyObject_Call ()
#20 0x000000000049846a in PyEval_EvalFrameEx ()
#21 0x0000000000498602 in PyEval_EvalFrameEx ()
#22 0x000000000049f1c0 in PyEval_EvalCodeEx ()
#23 0x00000000004a8960 in ?? ()
#24 0x00000000004e9f36 in PyObject_Call ()
#25 0x00000000004ec11a in ?? ()
#26 0x00000000004e9f36 in PyObject_Call ()
#27 0x00000000004eb62e in ?? ()
#28 0x00000000004e9f36 in PyObject_Call ()
#29 0x000000000049846a in PyEval_EvalFrameEx ()
#30 0x000000000049f1c0 in PyEval_EvalCodeEx ()
#31 0x00000000004983b8 in PyEval_EvalFrameEx ()
#32 0x000000000049f1c0 in PyEval_EvalCodeEx ()
#33 0x00000000004a9081 in PyRun_FileExFlags ()
#34 0x00000000004a9311 in PyRun_SimpleFileExFlags ()
#35 0x00000000004aa8bd in Py_Main ()
#36 0x00007ffff68e176d in __libc_start_main () from
/lib/x86_64-linux-gnu/libc.so.6
#37 0x000000000041b9b1 in _start ()
-- Javier Romero --
On Sun, Mar 31, 2013 at 8:05 PM, Javier Romero <[email protected]> wrote:
> Thanks for the fast answer! I'll try to use np.intp_t instead of the
> uint8. I'm using sklearn 0.13.1
>
> -- Javier Romero --
>
>
> On Sun, Mar 31, 2013 at 8:03 PM, Andreas Mueller <[email protected]
> > wrote:
>
>> On 03/31/2013 08:00 PM, Andreas Mueller wrote:
>> > Which version of sklearn are you using? Could you try with current
>> master?
>> >
>> >
>> Never mind, the patch isn't there yet.
>>
>>
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>
>
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