| 13 | } |
| 14 | |
| 15 | MGLDAModelObject::MGLDAModelObject(size_t tw, size_t minCnt, size_t minDf, size_t rmTop, |
| 16 | size_t k, size_t kL, size_t t, float alpha, float alphaL, float alphaMG, float alphaML, |
| 17 | float eta, float etaL, float gamma, |
| 18 | PyObject* seed, PyObject* corpus, PyObject* transform) |
| 19 | { |
| 20 | tomoto::MGLDAArgs margs; |
| 21 | margs.alpha[0] = alpha; |
| 22 | margs.alphaL[0] = alphaL; |
| 23 | margs.alphaMG = alphaMG; |
| 24 | margs.alphaML = alphaML; |
| 25 | margs.eta = eta; |
| 26 | margs.etaL = etaL; |
| 27 | margs.gamma = gamma; |
| 28 | if (seed && seed != Py_None && !py::toCpp<size_t>(seed, margs.seed)) |
| 29 | { |
| 30 | throw py::ValueError{ "`seed` must be an integer or None." }; |
| 31 | } |
| 32 | |
| 33 | inst = tomoto::IMGLDAModel::create((tomoto::TermWeight)tw, margs); |
| 34 | if (!inst) throw py::ValueError{ "unknown `tw` value" }; |
| 35 | isPrepared = false; |
| 36 | seedGiven = !!seed; |
| 37 | minWordCnt = minCnt; |
| 38 | minWordDf = minDf; |
| 39 | removeTopWord = rmTop; |
| 40 | |
| 41 | insertCorpus(corpus, transform); |
| 42 | } |
| 43 | |
| 44 | std::optional<size_t> MGLDAModelObject::addDoc(PyObject* words, const std::string& delimiter, bool ignoreEmptyWords) |
| 45 | { |
nothing calls this directly
no outgoing calls
no test coverage detected