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Great library! I have an issue with quantization.
When I try to run the quantization example:
from pyfasttext import FastText model = FastText() model.quantize(input='data/input_data.txt', output='artifacts/quantized_model', epoch=40, lr=0.3, dim=80, minn=2, maxn=3, label='__label__', wordNgrams=2)
The python process exits with code 139 and the following error message:
Model file cannot be opened for loading! ------------------------------------------------------------------------ 0 signals.cpython-35m-darwin.so 0x0000000110fbcbb8 sigdie + 120 1 signals.cpython-35m-darwin.so 0x0000000110fbcaef cysigs_signal_handler + 351 2 libsystem_platform.dylib 0x00007fff5c0d4f5a _sigtramp + 26 3 libc++abi.dylib 0x00007fff59efe467 GCC_except_table51 + 119 4 pyfasttext.cpython-35m-darwin.so 0x00000001100f6519 _ZL39__pyx_pf_10pyfasttext_8FastText_36trainP31__pyx_obj_10pyfasttext_FastTextP7_objectS2_ + 6905 5 pyfasttext.cpython-35m-darwin.so 0x00000001100f0c8f _ZL39__pyx_pw_10pyfasttext_8FastText_37trainP7_objectS0_S0_ + 111 6 python 0x000000010f7de8fe PyCFunction_Call + 62 7 pyfasttext.cpython-35m-darwin.so 0x00000001100e1f71 _ZL19__Pyx_PyObject_CallP7_objectS0_S0_ + 97 8 pyfasttext.cpython-35m-darwin.so 0x00000001100f1573 _ZL42__pyx_pw_10pyfasttext_8FastText_45quantizeP7_objectS0_S0_ + 227 9 python 0x000000010f7de8fe PyCFunction_Call + 62 10 python 0x000000010f85f357 PyEval_EvalFrameEx + 23159 11 python 0x000000010f8624ab _PyEval_EvalCodeWithName + 3115 12 python 0x000000010f85988c PyEval_EvalCode + 44 13 python 0x000000010f88881d PyRun_FileExFlags + 205 14 python 0x000000010f887d88 PyRun_SimpleFileExFlags + 280 15 python 0x000000010f8a00e6 Py_Main + 2982 16 python 0x000000010f78f128 main + 232 17 libdyld.dylib 0x00007fff5be53115 start + 1 18 ??? 0x0000000000000002 0x0 + 2 ------------------------------------------------------------------------ Unhandled SIGSEGV: A segmentation fault occurred. This probably occurred because a *compiled* module has a bug in it and is not properly wrapped with sig_on(), sig_off(). Python will now terminate. ------------------------------------------------------------------------
The text was updated successfully, but these errors were encountered:
Hum... You can quantize a model only after you have trained it, or loaded it.
So you should do:
from pyfasttext import FastText model = FastText() model.supervised(input='data/input_data.txt', output='artifacts/quantized_model', epoch=40, lr=0.3, dim=80, minn=2, maxn=3, label='__label__', wordNgrams=2) model.quantize(input='data/input_data.txt', output='artifacts/quantized_model')
Sorry, something went wrong.
Ah that seems to work, thanks!
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Great library! I have an issue with quantization.
When I try to run the quantization example:
The python process exits with code 139 and the following error message:
The text was updated successfully, but these errors were encountered: