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Practical ML and NLP with examples.

License: Other

Python 2.28% Jupyter Notebook 97.64% Shell 0.06% Dockerfile 0.02%
wikipedia-corpus probablistic-language computer-vision latin nlp frequency-distribution classics keras tensorflow text-classification

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ml-you-can-use's Issues

Training dataset

Hi @todd-cook!

I'm attempting to reproduce your results using BERT on the Crowdflower Search Results Relevance dataset, but I'm facing some issues. Your notebook says that the training set contains 20,571 labeled samples, but when I download the dataset from Kaggle it contains only 10,159 samples.

Am I missing something?

Why Sum of log probabilities

Why sometimes is the output of sum_log_probabilities positive and sometimes negative?
Log of probabilities are always negative because they are between 0 and 1; also sum of them must be negative, but why in some examples is this value positive?
in this link

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