Class DTModelObject

src/python/handler/module.h:311–330

};

struct DTModelObject : public LDAModelObject
{
	DTModelObject() = default;

	using _InitArgs = std::tuple<size_t, size_t, size_t, size_t, size_t, size_t, float, float, float, float, float, float, PyObject*, PyObject*, PyObject*>;
	DTModelObject(size_t tw, size_t minCnt, size_t minDf, size_t rmTop,
		size_t k, size_t t, float alphaVar, float etaVar, float phiVar,
		float lrA, float lrB, float lrC,
		PyObject* seed, PyObject* corpus, PyObject* transform);
	
	tomoto::RawDoc::MiscType convertMisc(const tomoto::RawDoc::MiscType& o) const override;
	std::optional<size_t> addDoc(PyObject* words, size_t timepoint, bool ignoreEmptyWords = true);
	py::UniqueCObj<DocumentObject> makeDoc(PyObject* words, size_t timepoint);
	std::vector<float> getAlpha2(size_t timepoint) const;
	std::vector<float> getPhi(size_t timepoint, size_t topicId) const;
	std::vector<std::pair<std::string, tomoto::Float>> getTopicWords(size_t topicId, size_t timepoint, size_t topN = 10) const;
	std::vector<float> getTopicWordDist(size_t topicId, size_t timepoint, bool normalize = true) const;
	py::UniqueObj getCountByTopic() const;
	py::UniqueObj getAlpha() const;
};

struct PTModelObject : public LDAModelObject
{