Questions tagged [top2vec]
6 questions
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Top2Vec model returning TypeError: 'numpy.float64' object cannot be interpreted as an integer
I'm trying to train a top2vec model and come up against either the issue of not having enough documents which I rectify by concatenating the dataframe with itself etc.
Then upon training the model the Type Error comes up. I can't find where the…
Magnetar
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Adding new documents with document IDs to a trained top2vec topic model in Python
When adding new documents to top2vec topic model, I am getting the following error:
# Here is the building model:
# df["text"] is text column of dataframe df
from top2vec import Top2Vec
model = Top2Vec(documents=df["text"]) # document_ids not…
Sam S.
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Installing top2vec package, particularly in H2O Notebooks, and the error
After installing python top2vec package in H2O notebooks (!pip install top2vec), I am getting the following error when importing top2vec:
import top2vec
ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 96 from C…
Sam S.
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Azure ML Studio Job Resources
I'm currently training a Top2Vec ML model on a CommonCrawl news dataset in Azure ML Studio. When running my Python code inside a ipynb Notebook in ML Studio itself (online) the CPU is being fully used (100% workload) but when executing my script as…
Luca
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Answered in comment - How do I find the topic of news article using an already trained Top2Vec model?
I'm trying to build a news recommendation system for myself using Top2Vec topic modeling. Given the amazing news datasets, it isn't too difficult to actually train the model, but I'm unsure of how to categorize a novel article.
Top2Vec has the…
AjS
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top2vec - explanation of get_documents_topics function behavior
Need explanation on what get_documents_topics(doc_ids, reduced=False, num_topics=1) does.
Get document topics.
The topic of each document will be returned.
The corresponding original topics are returned unless reduced=True, in which case the…
mon
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