semvec/pypi-packages huggingface dataset:
TOPSIS-Gagandeep-101803390 0.0.2
This library gives function of save_topsis to give analysis...
Requires Python: >=3.6

# Topsis Package by Gagandeep Singh 101803390

This package gives the function save_topsis(input,weights,target,output) which takes four parameters:
    1. input : is the location of input file
    2. weight : this takes the input value of every parameter weights "0.1,0.2,0.3,0.4"
    3. target : this takes the +ve and -ve as input to take whether to maximize or minimize a parameter
    4. output : is the location of the csv file where u want to save it


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TOPSIS-PRAKIRTI-101803167 0.0.1
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.

# TOPSIS-Python

## 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.


## How to use this package:



TOPSIS-Prakirti-101803167 can be run as in the following example:

### In command prompt:

```bash
>> TOPSIS-Prakirti-101803167 data.csv "1,1,2,1" "+,-,+,-" result
```




## Sample Dataset

```python



Model	Correlation	  R2	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

```python
Model   Score    Rank
-----  --------  ----
  1    0.77221     2
  2    0.225599    5
  3    0.438897    4
  4    0.523878    3
  5    0.811389    1

```