Welcome to WMSDTransformer’s documentation!
A class used to calculate TOPSIS ranking, plot positions of alternatives in WMSD space, perform improvement actions on selected alternative.
- Xdata-frame
Pandas data-frame provided by the user.
- X_newdata-frame
Pandas data-frame, normalized X.
- datadata-frame
A copy of self.X, on which all calculations are performed.
- nint
Number of data-frame’s columns
- mint
Number of data-frame’s rows
- weightsnp.array of float
Array containing normalized weights.
- objectivesnp.array of str
Numpy array informing which criteria are cost type and which are gain type.
- expert_range2D list of floats
2D list containing normalized expert range.
WMSDTransformer is a Python library for visualizations and actions in WMSD space.
Check out the Usage examples section for further information. For guide how to install the library check the Installation section.
Note
This project is under active development.