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by riku_iki
2427 days ago
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That's why I mentioned scale in my first comment. For sub-TB datasizes with 16 cores CPU and NVME raid (you can get such machine for less than $1k nowdays) PG will be just fine. Also in typical ML pipeline as I mentioned you can generate ngrams in input function of your model (Dataset API in TF), you don't need to store it somewhere. |
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