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 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
andTarget variable y
- After selecting
X
andy
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)
- Current Working Version
Project details
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