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-Chirag-101803366 can be run as in the following example:
In command prompt:
>> TOPSIS data.csv "1,1,2,1" "+,-,+,-" result.csv
Sample Dataset
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
Model Score Rank
----- -------- ----
1 0.77221 2
2 0.225599 5
3 0.438897 4
4 0.523878 3
5 0.811389 1
Metadata
Release files for TOPSIS-Chirag-101803366 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 | Provenance | Actions |
|---|---|---|---|---|
| TOPSIS_Chirag_101803366-1.0.tar.gz | 2.9 kB | Without provenance | Details for TOPSIS_Chirag_101803366-1.0.tar.gz |
Release files / TOPSIS_Chirag_101803366-1.0.tar.gz
| Download URL | TOPSIS_Chirag_101803366-1.0.tar.gz |
|---|---|
| Size | 2.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
310c393bd08635110b548a7874bd26caee649d3322e6063a6b0ee2a20a80bb20
|
|
BLAKE2b-256 checksum How to use checksums |
d8f9335cd0893a394e962289901f20a63795cf88a4f69946bdb769e41aa08ce7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.6.1 requests/2.23.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.6.9
|
Security for TOPSIS-Chirag-101803366 1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.