Metadata-Version: 2.1
Name: TOPSIS-Anubhav-101803051
Version: 1.0.0
Summary: Compute Topsis Scores/Ranks of a given csv file
Home-page: https://github.com/sharma-anubhav/Topsis
Author: Anubhav Sharma
Author-email: anubhav0399@gmail.com
License: MIT
Description: # TOPSIS-Anubhav-101803051
        
        ## What is TOPSIS
        Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) originated in the 1980s as a multi-criteria decision making method.<br> TOPSIS chooses the alternative of shortest Euclidean distance from the ideal solution, and greatest distance from the negative-ideal solution.
        
        ## Installation
        ```pip install TOPSIS-Anubhav-101803051```
        
        ## Input csv format
        Input file contain three or more columns<br>
        First column is the object/variable name <br>
        From 2nd to last columns contain numeric values only
        
        ## How to use it
        Command Prompt<br>
        ```topsis <InputDataFile> <Weights> <Impacts> <ResultFileName>```<br>
        Example:<br>
        ```topsis inputfile.csv “1,1,1,2” “+,+,-,+” result.csv```<br><br>
        <i>Note: The weights and impacts should be ',' seperated, input file should be in pwd.</i> 
        
        ## Sample input data
        |Model|Corr|Rseq|RMSE|Accuracy|
        |-----|----|----|----|--------|
        |M1   |0.79|0.62|1.25|60.89   |
        |M2   |0.66|0.44|2.89|63.07   |
        |M3   |0.56|0.31|1.57|62.87   |
        |M4   |0.82|0.67|2.68|70.19   |
        |M5   |0.75|0.56|1.3 |80.39   |
        ## Sample output data
        |Model|Corr|Rseq|RMSE |Accuracy|Topsis Score       |Rank|
        |-----|----|----|-----|--------|-------------------|----|
        |M1   |0.79|0.62|1.25 |60.89   |0.7731301458119156 |2   |
        |M2   |0.66|0.44|2.89 |63.07   |0.22667595732024362|5   |
        |M3   |0.56|0.31|1.57 |62.87   |0.4389494866695491 |4   |
        |M4   |0.82|0.67|2.68 |70.19   |0.5237626971836845 |3   |
        |M5   |0.75|0.56|1.3  |80.39   |0.8128626132980138 |1   |
        
        ## License
        © 2020 Anubhav Sharma
        
        This repository is licensed under the MIT license. See LICENSE for details.
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
