Shypd.aiThe largest open index of AI toolssemisup-learn is an Open Source & Models tool that provides semi-supervised learning frameworks for Python. It allows fitting scikit-learn classifiers to partially labeled data, including novel CPLE and Self Learning methods.
Trending
About
semisup-learn is a Python framework designed for semi-supervised learning, enabling the use of scikit-learn classifiers with datasets that are only partially labeled. It features implementations of Contrastive Pessimistic Likelihood Estimation (CPLE), a 'safe' framework applicable to classifiers that can yield prediction probabilities, ensuring model performance isn't worse than supervised-only training. The framework also includes Self Learning (self-training) and a wrapper for Semi-Supervised Support Vector Machine (S3VM) for comparison. CPLE is noted for its general applicability, low memory footprint, and reliance only on assumptions made by the chosen classifier, though it has high computational complexity. The project is an early-stage research endeavor.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
