| Name | Version | Summary | date |
| Topsis-Agam-102016068 |
1.0.0 |
Topsis package for MCDM problems |
2023-01-22 18:40:38 |
| Ekaspreet-topsis-102017078 |
1.0.1 |
A Python package implementing TOPSIS for MCDM |
2023-01-22 16:43:13 |
| Topsis-Ravinshu-102003156 |
1.1.0 |
A convenient python package for Topsis rank and score calculation for a given dataset, weights and impacts |
2023-01-22 11:34:48 |
| Topsis-Uday-102053008 |
1.0.12 |
The one stop tool to perform Multiple Criteria Decision Making(MCDM) using Topsis |
2023-01-22 08:11:16 |
| Topsis-Agamjot-102016068 |
1.0.1 |
Topsis package for MCDM problems |
2023-01-22 07:47:55 |
| Topsis-Kriti-102017079 |
1.4 |
A convenient python package for Topsis rank and score calculation for a given dataset, weights and impacts |
2023-01-21 14:32:24 |
| topsis-Ananya-102017024 |
1.0.0 |
This program uses command line arguments to implement Topsis : a Multi-Criteria Decision Ananlysis (MCDA) method |
2023-01-21 12:43:36 |
| Topsis-Mayank-102016012 |
0.0.4 |
Topsis package for MCDM problems |
2023-01-21 11:35:45 |
| Ekas-topsis-102017078 |
1.0.0 |
A Python package implementing TOPSIS for MCDM |
2023-01-21 07:51:13 |
| fmpdistribution |
1.0.2 |
A Python package for calculating pdf, cdf, and sf for Poisson, Binomial,Normal, Multinomial and Exponential distributions. |
2023-01-19 07:47:05 |
| burnt-ends |
0.0.1 |
A Python package containing modular, well-tested, utility and statistical functions handy for scientific computing and analysis. |
2023-01-18 22:20:14 |
| Topsis-Amrita-102017017 |
1.0.0 |
A command line tool to perform TOPSIS, a multi-criteria decision making technique |
2023-01-18 17:53:13 |
| featureimpact |
2.2.2 |
Compute the statistical impact of features given a trained estimator |
2023-01-17 05:10:02 |
| debaterpy |
0.1.1 |
A simple library to keep track of your progress and history in competitive debating. |
2023-01-16 15:14:06 |
| conjugate-prior |
0.71 |
Bayesian Statistics conjugate prior distributions |
2023-01-16 12:08:48 |
| les-stats |
0.3.1 |
Tournament statistics |
2023-01-05 13:48:06 |
| fmanova |
1.0.0 |
This moldule provides functions for calculation of one-way and two-way analysis of variance |
2022-12-27 16:45:32 |
| about-time |
4.2.1 |
Easily measure timing and throughput of code blocks, with beautiful human friendly representations. |
2022-12-21 04:15:54 |
| clogistic |
0.3.0 |
Constrained Logistic Regression |
2022-12-11 11:45:27 |
| pywoc |
0.2.0 |
2-D comparison |
2022-12-07 08:38:58 |