Comments (2)
Is this what inference.py is supposed to accomplish? It looks like it is only implemented for WTM at the moment. For example, BATM would fail because it has no load_model function.
from neural_topic_models.
Actually, the function you described is implemented as 'get_embed', which would return the topic distribution for each document. This function is implemented in GSM, WTM, GMNTM, and ETM, exclude BATM, because it can not convergents properly yet (the original paper author of BATM hadn't replied to me yet). The function 'inference' and 'inference_by_bow' provides similar but lower-level interfaces. Please look into the 'models' directory for more details.
from neural_topic_models.
Related Issues (16)
- SyntaxError: (unicode error) 'unicodeescape' codec can't decode bytes HOT 1
- Error on using Spacy Tokenizer HOT 21
- Inference from Checkpoints HOT 5
- 作者您好关于BATM模型的问题 HOT 1
- NVDM-GSM最后存下来的embedding是不是文档的主题向量?怎么复原到文字表述的topic
- Inference for BATM HOT 2
- GSM实现有问题? HOT 7
- 原版的DailyDialog有13118个对话,与zhdd的对应关系是怎样的? HOT 1
- Inference not working!
- Stopwords.txt 如何产生
- Python版本问题 HOT 2
- AttributeError: 'ETM' object has no attribute 'dist' HOT 1
- Inference problem when trying to convert to json HOT 2
- GSM的实现问题 HOT 2
- 请问模型训练出来怎么使用? HOT 1
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from neural_topic_models.