A python package to predict the rank of a MCDMP using topsis
Project description
ABOUT RANK PREDICTOR
It is a method of compensatory aggregation that compares a set of alternatives by identifying weights for each criterion, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion.
NAME :- Mehak Garg
ROLL NO :- 101883054
GROUP :- 3CO23
INSTALLATION
The package can be installed using the following command in anaconda/command prompt.
pip install Rank_Predictor_101883054
USAGE
The package can be used for topsis analysis by providing dataset,weights,impacts.
topsis <dataset.csv> <[weights]> <[impacts]>
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file Rank_Predictor_101883054-1.0.2.tar.gz.
File metadata
- Download URL: Rank_Predictor_101883054-1.0.2.tar.gz
- Upload date:
- Size: 2.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2.post20191203 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c52a9acae73f5c079578def9b33f501093d4b067bb302cf732bb9bdc32bd87b6
|
|
| MD5 |
80baebbb8bd1c5bc0d2a24b9f908ef64
|
|
| BLAKE2b-256 |
8606f74cd5196bc8423673d4f1982b96867c31d61e9d036673dac7e1ea148978
|
File details
Details for the file Rank_Predictor_101883054-1.0.2-py3-none-any.whl.
File metadata
- Download URL: Rank_Predictor_101883054-1.0.2-py3-none-any.whl
- Upload date:
- Size: 3.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2.post20191203 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
386c41b2dd83c738f01e180c8e3d39c1e016dcc9c3758d7e839dda2e769d752d
|
|
| MD5 |
4610c047744b99501cedf88baa79e690
|
|
| BLAKE2b-256 |
b2c11361a9692eaae3631c6affb272030e75565ffae0712cecaecbfac6976eb6
|
