| 6 | using namespace std; |
| 7 | |
| 8 | CTModelObject::CTModelObject(size_t tw, size_t minCnt, size_t minDf, size_t rmTop, |
| 9 | size_t k, PyObject* alpha, float eta, |
| 10 | PyObject* seed, PyObject* corpus, PyObject* transform) |
| 11 | { |
| 12 | tomoto::CTArgs margs; |
| 13 | margs.k = k; |
| 14 | if (alpha) margs.alpha = broadcastObj<tomoto::Float>(alpha, margs.k, |
| 15 | [=]() { return "`smoothing_alpha` must be an instance of `float` or `List[float]` with length `k` (given " + py::repr(alpha) + ")"; } |
| 16 | ); |
| 17 | margs.eta = eta; |
| 18 | if (seed && seed != Py_None && !py::toCpp<size_t>(seed, margs.seed)) |
| 19 | { |
| 20 | throw py::ValueError{ "`seed` must be an integer or None." }; |
| 21 | } |
| 22 | |
| 23 | inst = tomoto::ICTModel::create((tomoto::TermWeight)tw, margs); |
| 24 | if (!inst) throw py::ValueError{ "unknown `tw` value" }; |
| 25 | isPrepared = false; |
| 26 | seedGiven = !!seed; |
| 27 | minWordCnt = minCnt; |
| 28 | minWordDf = minDf; |
| 29 | removeTopWord = rmTop; |
| 30 | |
| 31 | insertCorpus(corpus, transform); |
| 32 | } |
| 33 | |
| 34 | py::UniqueObj CTModelObject::getCorrelations(PyObject* topicId) const |
| 35 | { |