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| --- | --- |
| Bugzilla Link | [49044](https://llvm.org/bz49044) |
| Version | unspecified |
| OS | All |
| CC | @aeubanks,@RKSimon |
## Extended Description
1) Using LNT, compile C…
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Remove dependency on GIMP for image thresholding/brightness-contrast:
https://github.com/NYPL/map-vectorizer/blob/master/vectorize_map.py#L61-77
GIMP sh/could be used for determining input values in …
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|--------------------|----|
| Bugzilla Link | [PR36481](https://bugs.llvm.org/show_bug.cgi?id=36481) |
| Status | CONFIRMED |
| Importance | P enha…
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Hi @MaartenGr ,
I am trying to visualise the topic after merging the models but getting an error. Could you please guide me to fix it?
Fitted model using two different datasets:
keybert = K…
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``` def brand_replace_text(
self, texts: List[str], brand_regex: str, repl_term: str = "brandx"
) -> list:
"""Replaces top ngrams in a list of texts that match a given regex …
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Hi, I am using the partial_fit function to perform incremental learning with BERTopic. When I tried to save the BERTopic model using safetensors, I got the following error: KeyError: 'tokenizer'. The …
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## Description
TF-IDF is one of the most famous algorithms when it comes to keyword extraction from text. Your task is to create a function that will extract keywords from text using the TF-IDF algor…
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For example, I have used
news=str(input())
and then I want to create a function for predicting if this news text is fake or not
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Code:
```python
...
train['title'].isnull().sum()
# Out: 0
title_countvec = CountVectorizer(ngram_range=(1,3), max_features=300000, lowercase=True)
title_countvec.fit(train['title'], y_train)
…
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Hi, Clang documentation on Loop Vectorizer mentions [vectorizing of mathematical functions](https://llvm.org/docs/Vectorizers.html#vectorization-of-function-calls). I created a small test case, using …
vient updated
1 month ago