HDMR
High Dimensional Model Representation (HDMR) is a mathematical technique used in Data Science to represent complex models in a simpler form. It decomposes a high-dimensional function into a sum of lower-dimensional functions, where each function depends on a subset of the input variables. HDMR is particularly useful when dealing with models that have a large number of input variables, as it reduces the computational complexity and provides insights into the importance of each variable in the model. HDMR has applications in various fields, including engineering, physics, and finance.
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