Training Distribution

Noun · AI & Machine Learning

Definitions

  1. The distribution of examples, patterns, and conditions present in the data a model was trained on. A mismatch between training distribution and real-world use often causes poor generalization.

    In plain English: The kinds and frequencies of data the model saw during training.

    Example: "The model struggled in production because customer inputs differed sharply from the clean training distribution used during development."

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