semvec/pypi-packages huggingface dataset:
Topsis-Richika-102103398 0.0.1
topsis implementation
Requires Python: >=3.6

## Introduction

TOPSIS( Technique for order for preference by similarity to Ideal solution ) for MCDM (Multiple criteria decision making) in Python compiled by Richika Khanna , 102103398, TIET, Patiala.

## Installation

```pip install Topsis-Richika-102103398```

## Usage
Please provide the filename for the CSV, including the .csv extension. After that, enter the weights vector with values separated by commas. Following the weights vector, input the impacts vector, where each element is denoted by a plus (+) or minus (-) sign.


```py -m topsis.__main__ [input_file_name.csv] [weight as string] [impact as string]```


## Important Points
There should be only numeric columns except the first column i.e. Fund Name.
Input file must contain atleast three columns.

## License
Â©2024 Richika Khanna
This repository is licensed under the MIT license.
See LICENSE for details.