Hyperparameter.md (317B)
1 # Hyperparameter 2 3 ML CH2 4 5 **Definition:** A hyperparameter in ML is a parameter that is defined prior to training that is not influenced by samples. 6 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]]