Comments (1)
Yes, the model automatically optimizes its alpha
and gamma
value.
If you want to fix these values, please set hdp.optim_interval = 0
before train
.
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Related Issues (20)
- Error with headers when installing with pip HOT 4
- ARM support for Linux HOT 4
- Segmentation fault when calling `infer` on untrained loaded model HOT 1
- Path distribution in HLDA
- add_doc() method very slow
- .
- CTM: Topic Count Impossibly Large
- What is the log_ll returned by the infer method?
- Error with saving/loading PLDAModel
- The training is really fast, but the inference speed is very slow. I read the document and wrote batch, multi-core, but it is still very slow. Is there any other way to optimize the inference speed? HOT 1
- Release v0.12.5 HOT 4
- SLDA produce the same regression coefficients after training
- SLDA always produce the same response variable estimate for all the documents
- corpus 를 save로 저장 후 load로 다시 읽었지만 값이 제대로 나오지 않아서요
- Make threadpool queue size configurable HOT 2
- 모델에 사용자 사전 추가 기능 건의(Suggest that add user's own vocabulary into model)
- DTM k=1 exit program and not show any messages
- Eigen file not found during pip installation HOT 1
- No module named any of '_tomotopy_avx2', '_tomotopy_avx', '_tomotopy_sse2', '_tomotopy_none'
- got negative Coherence for DTM, including NPMI, UCI and U_mass HOT 1
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