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Training & Fine-tuningHard· Data Filtering· Importance Sampling· fastText
What is importance sampling in the context of data filt...
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See plansImportance sampling involves calculating the ratio of the target distribution to the source distribution to weight documents during the filtering process. While fastText is a powerful discriminative tool, importance sampling is superior in specific edge cases. It is particularly effective when the target dataset is small, when maintaining diversity is critical, or when the positive and negative data classes overlap so heavily that a clear discriminative boundary cannot be established.