| numl.AI |
| numl.Data |
| numl.Math |
| numl.Model |
| numl.Recommendation |
| numl.Reinforcement |
| numl.Serialization |
| numl.Supervised |
| numl.Tests |
| numl.Unsupervised |
| numl.Utils |
| 이름 | 설명 |
|---|---|
| Learner | Primary class for running model generators. It is designed to abstract the separation of training and test sets as well as best model selection. |
| LearningModel | Structure to hold generator, model, and accuracy information. |
| MultiClassLearner | Primary class for running classification models. It is designed to abstract the separation of training and test sets as well as select best result across all classes. |