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* Contextualized Topic Models version:
* Python version:
* Operating System:
### Description
Hello!
I have a model that is predicting very well the topics so I want to set it on production.…
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## Describe the proposal
**Provide a clear high-level description of the feature request in the following sections. Feature requests that are likely to be accepted:**
It'd be nice to add an `mlflo…
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I was using umap to perform dimensionality reduction on the entre 20 newsgroup dataset in sklearn.
In 0.4.6., when I used the cosine distance metric and fit_transform, umap returned the labels with…
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(See also #326)
In the past we discussed the importance of making optimizing the number of dependencies we need install to be able to use `bluesearch`.
PR #326 goes in this direction, but furt…
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Hello,
I'm trying to pass a custom tokenizer to CountVectorizer to count occurencies of the words in one document. As a result the words are splitted correctly but the counts are always 1.
```…
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I believe that it shouldn't be too difficult to upgrade the models from the `naive_bayes` by allowing them to process mini-batches (i.e. pandas DataFrames), just like what we do in the `linear_model` …
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Hi there,
I like your GitRepo, and I have started to use it on my project.
I have a problem with the Embedding layer. If the first layer is the Embedding layer, the "see-rnn -> get_gradients" brok…
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Documentation:
Is the project is properly documented and files are well organized.
Code:
The code worked, but it took me some time to figure out the packages to be installed, it would be nice i…
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* Contextualized Topic Models version: 1.7.1
* Python version:
* Operating System:
### Description
Could I do inference when only having bert text? For example, I have a trained `CombinedTM ` …