As the question, when I use the Bayesian classifier for emotion classification, due to the excessive amount of data, when the amount of data exceeds 10,000, it will be automatically killed by the system, and there is no problem when the amount of data is not large
As the question, when I use the Bayesian classifier for emotion classification, due to the excessive amount of data, when the amount of data exceeds 10,000, it will be automatically killed by the system, and there is no problem when the amount of data is not large
How do you save a trained naïve Bayes model?