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Hyperparameter.md (317B)


      1 # Hyperparameter
      2 
      3 ML CH2
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      5 **Definition:** A hyperparameter in ML is a parameter that is defined prior to training that is not influenced by samples.
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      7 Examples of hyperparmeters are [LearningRate](LearningRate.md) and m in the case of calculating weighted means. More about this can be seen here [[TargetEncoding.md]]