semvec/pypi-packages huggingface dataset:
librus-lib 0.9
A python wrapper of Librus API
License: MIT

Fast and powerful Synergia Librus API wrapper



> Documentation avaible at https://librustricks.kpostek.dev/
>
> Written from a scratch by Krystian _`Backdoorek`_ Postek, updated by Kosiacek
>  
> Wanna chat? You can find me on [discord](http://szkolny.eu/discord) and [telegram](https://t.me/kosiacekwastaken)
Topsis-Shruti-101803061 1.0.1
A Python package to get the the topsis score and rank
License: MIT

# TOPSIS-Python

## Submitted By: Shruti agrawal 101803061
***
## What is TOPSIS

Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) originated in the 1980s as a multi-criteria decision making method. TOPSIS chooses the alternative of shortest Euclidean distance from the ideal solution, and greatest distance from the negative-ideal solution.know more from [wikipedia]("https://en.wikipedia.org/wiki/TOPSIS")

## How to use this package:

TOPSIS-Shruti-101803061 can be run as in the following example:
## In Command Prompt :
>```python topsis.py data.csv "1,1,1,1" "+,+,-,+" result.csv```

## sample dataset:

|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

## output

|Model|Corr|Rseq|RMSE|Accuracy|Topsis_score|Rank|
|-----|----|----|----|--------|------|----|
|M1	  |0.79	|0.62|	1.25|	60.89|0.772209735|2|
|M2|	0.66|	0.44|	2.89|	63.07|0.225598754|5|
|M3	|0.56|	0.31|	1.57|	62.87|0.438897317|4|
|M4	|0.82|	0.67|	2.68|	70.19|0.523877871|3|
|M5	|0.75|	0.56|	1.3	|80.39|0.811388708|1|