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Tag: normalization

getting “KeyError” while implementing Z-score on a dataset

I have been trying to implement z-score normalization to all of the numeric values present in combined_data with the following code: Here, combined_data is the combination of training and testing datasets as a dataframe and passed through one-hot encoding. I am seeing the following error: The dataset combined_data contains 257673 rows & 198 columns Here is the sample data of

Normalize two arrays with second array the base for normalizing first array

In order to find the quality indicators like Generational Distance, Inverted Generational Distance, Epsilon Indicator, and HyperVolume for a Pareto front I want to normalize the values of approximation front obtained on solving the algorithm based on reference front which I assume encloses the approximation front. I have used the code below for normalization. However, it is for one array

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