DataScalerSelector 1.1.0

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.

Data Scaler Selector

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.

Author: Asif Ahmed Neloy

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

Change Log

1.0 (29/12/2021)

• First Release

1.0.2 (29/12/2021)

• Installation Fixed

1.0.3 (30/12/2021)

• Installation Bug Fixed

1.0.4 (30/12/2021)

• Dependency Fixed

1.0.5 (30/12/2021)

• Sample Test Added

1.0.6 (30/12/2021)

• Minor Bug fixed

1.0.7 (30/12/2021)

• Minor Bug fixed

1.0.8 (30/12/2021)

• Sample Notebook added

1.0.9 (31/12/2021)

• Bug Fixed

1.1.0 (03/01/2022)

• Current Working Version