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I'm currently testing that all of the code runs in the datahub and with 8 GB of ram.
The kernel dies from too much memory being used when you run this line:
from sklearn.metrics.pairwise import cosine_similarity
similarities = cosine_similarity(tfidf)
similarities.shape
Although the biggest memory drain is a few cells before with the .to_dense() function
The text was updated successfully, but these errors were encountered:
I'm currently testing that all of the code runs in the datahub and with 8 GB of ram.
The kernel dies from too much memory being used when you run this line:
from sklearn.metrics.pairwise import cosine_similarity
similarities = cosine_similarity(tfidf)
similarities.shape
Although the biggest memory drain is a few cells before with the .to_dense() function
The text was updated successfully, but these errors were encountered: