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Hello,
I was wondering if it was possible to replace the submodels (hdbscan_model, umap_model) of a topic_model with already fitted instances of according models?
Let's say I want to switch betwee…
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I'm doing topic modeling but when calculating the probability of each topic the sum is not equal to 1
below a simple example that I am applying
Version: 0.14.1
model = BERTopic(language='Portugue…
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Hi, I want to use the BERTopic model in inference mode (BERTopic().transform()) after training it with the Online Topic Modeling approach stated [here](https://maartengr.github.io/BERTopic/getting_sta…
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`.fit_transform()` will no longer execute even on datasets used in BERTopic's example scripts. I haven't been able to get BERTopic's pre-trained models like BERTopic_Wikipedia or BERTopic_ArXiv to `.f…
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I don't know if this is an error in the code, or an error in my expectation of what should happen after outlier reduction.
I wrote a test_reduce_outliers.py as shown below
```
import copy
import…
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Hello @MaartenGr,
I've been loving this package so far! It's been extremely useful.
I have an inquiry regarding unexpected behavior in output from topics_over_time(). I've included code and output…
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Hi,
I am going to use online topic modeling.
In order to do this, I train the model using batches of documents in a for loop. Then, I save the model, and load it after getting some new documents to…
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Hi,
my model has extracted 300 topics that, by looking at the keywords, could be further clustered. The dilemma is whether to reduce topics with "reduce_topics" to some specific integer, to reru…
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Currently, we have DBSCAN clustering implemented as shown below.
https://github.com/uptrain-ai/uptrain/blob/8d5b504561f6c7634553480d1e38ec9a9b5716ef/uptrain/core/classes/visuals/dimensionality_redu…
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