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Data Scaler Selector

Author MIT Contributions welcome Stars

Data Scaler Selector is an open-source python library to select the appropriate data scaler (Min-Max, Robust or Standard Scaler) for your Machine Learning model.

Project Description:

Data Scaler is an open-source python library to select the appropriate data scaler for your Machine Learning model.

Installation:

pip install DataScalerSelector

Sample Notebook

In order to run the scalerselector_regression the following must be ensured:

  • NULL data must be handled
  • There should be no categorical variable.
  • Select the features X and Target variable y
  • After selecting X and y run the follwing:
from DataScalerSelector import *
scalerselector_regression(X,y)

For details see this notebook

License

License: MIT