Metadata-Version: 2.1
Name: semicart
Version: 0.0.2
Summary: Building semi-supervised decision trees with semi-cart algorithm
Home-page: https://github.com/WeightedBasedAI/semicart
Author: Aydin Abedinia
Author-email: abedinia.aydin@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy==2.0.0
Requires-Dist: scikit-learn==1.5.1
Requires-Dist: scipy==1.14.0
Requires-Dist: joblib==1.4.2
Requires-Dist: db-weights==0.0.7
Requires-Dist: tqdm==4.66.4

SemiCart is an algorithm based on CART that uses the weights of test data to improve prediction accuracy. This algorithm employs calculation methods such as Nearest Neighbor and metrics like Euclidean and Mahalanobis distances to determine the weights, more infor: https://link.springer.com/article/10.1007/s13042-024-02161-z
