machine learning framework
C5493
concept
A machine learning framework is a software library or platform that provides tools, abstractions, and workflows to design, train, evaluate, and deploy machine learning models efficiently.
Observed surface forms (2)
- scikit-learn estimator ×2
- differentiable programming platform ×1
Instances (8)
- TensorFlow
- RLlib
- Swift for TensorFlow
- LogisticRegression via concept surface "scikit-learn estimator"
- SVC via concept surface "scikit-learn estimator"
- TensorFlow.js
- DistBelief
- Hugging Face Transformers