Topsis analysis
Project description
Topsis Analysis
Installation
Use the package manager pip to install topsis-asharma-3027.
pip install topsis-asharma-3027
Usage
Following query on terminal will provide you the topsis analysis for input csv file.
topsis-asharma-3027 -a "dataset-name" -b "w1,w2,w3,w4,..." -c "i1,i2,i3,i4,..."
Do not mention the file format, 'csv', as part of dataset-name. w1,w2,w3,w4 represent weights, and i1,i2,i3,i4 represent impacts where 1 is used for maximize and 0 for minimize. Size of w and i is equal to number of features.
Note that the first row and first column of dataset is dropped
The item attributed rank 1 is the best choice.
License
Project details
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
Close
Hashes for topsis-priyank_raheja-101703404-1.0.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7f3ff0c0655c1b96d379fca6336957cb1ad9d12e048b40fd1089f2d2e7c7400c |
|
MD5 | aeb1f06c7338b40d68a05998394e78f2 |
|
BLAKE2b-256 | a79ec4cff54808d969cdbd622533d343307a4141b4036eb01fabd20d7e1e7a83 |
Close
Hashes for topsis_priyank_raheja_101703404-1.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3c0c13252dfc59cc2a271adda211419ca414655aba50197026c041f207587c7a |
|
MD5 | 98c97ec954095620c58f026908c87ea2 |
|
BLAKE2b-256 | 35a68dac972ce6720deb549e7546d40c1c41ac83c6e030e267e2d1ab4b9d3fb0 |