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
Release files for outlier-priyank 1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| outlier-priyank-1.0.tar.gz | 1.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| outlier_priyank-1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.8 kB
Release files / outlier-priyank-1.0.tar.gz
| Download URL | outlier-priyank-1.0.tar.gz |
|---|---|
| Size | 1.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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No |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
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Release files / outlier_priyank-1.0-py3-none-any.whl
| Download URL | outlier_priyank-1.0-py3-none-any.whl |
|---|---|
| Size | 2.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
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