Comments (5)
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Yes, I tried it that way too, but then I get the following error message:
collabtm: matrix.hh:1166: void D2Array<T>::load(std::__cxx11::string, uint32_t, bool) const [with T = double; std::__cxx11::string = std::__cxx11::basic_string<char>; uint32_t = unsigned int]: Assertion `f' failed.
Aborted
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from collabtm.
After trying with larger datasets, it seems to run the inference procedure, and what I guess is computing precision metrics, but it still seems to fail due to the cold-start part at the end:
coldstart local inference and HOL
collabtm: matrix.hh:1166: void D2Array<T>::load(std::__cxx11::string, uint32_t, bool) const [with T = double; std::__cxx11::string = std::__cxx11::basic_string<char>; uint32_t = unsigned int]: Assertion `f' failed.
Aborted
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from collabtm.
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