Name | Version | Summary | date |
ydf |
0.3.0 |
YDF (short for Yggdrasil Decision Forests) is a library for training, serving, evaluating and analyzing decision forest models such as Random Forest and Gradient Boosted Trees. |
2024-03-15 20:12:07 |
tensorflow-decision-forests |
1.9.0 |
Collection of training and inference decision forest algorithms. |
2024-03-14 10:28:49 |
DI-engine |
0.5.1 |
Decision AI Engine |
2024-02-04 15:08:44 |
adr_writer |
1.1.3 |
Create Architecture Decision Records by answering questions to ensure consistency in formatting and thought processes. |
2024-02-02 04:28:51 |
decision-boundary-mapper |
1.0.1 |
A tool for visualizing the decision boundary of a machine learning model. |
2023-12-14 12:54:25 |
DecisionTreeClassifier |
0.0.7 |
A Decision Tree Classifier. |
2023-04-28 03:56:35 |
edl-reader |
0.1.14 |
Simple EDL reading library. |
2023-04-19 22:14:20 |
TOPSIS-Radhika-102003313 |
1.1.1 |
A Python package to find TOPSIS for multi-criteria decision analysis method |
2023-01-22 12:34:16 |
Topsis-Radhika |
0.1 |
Topsis package for MCDM problems |
2023-01-22 12:04:26 |
Topsis-102017182-sandhya-goyal |
1.0.0 |
This package performs the topsis(multiple criterion decision making) on a pandas dataframe and return the rank and topsis score. |
2023-01-21 18:45:31 |
Topsis-Keshav-Garg-102017064 |
0.0.1 |
This package performs the topsis(multiple criterion decision making) on a pandas dataframe and return the rank and topsis score. |
2023-01-21 10:04:56 |
Topsis-Keshav-102017064 |
0.0.1 |
This package performs the topsis(multiple criterion decision making) on a pandas dataframe and return the rank and topsis score. |
2023-01-21 09:57:55 |