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  1. Projects
  2. Quick start: Jstacs in a nutshell
  3. Recipes
  4. SHMM
  5. Saving and loading a model
  6. Second main course: Classifiers
  7. Slim
  8. Starter: Data handling
  9. TALENoffer
  10. TALgetter
  11. Test
  12. Train classifiers using GenDisMix (a hybrid learning principle)
  13. Train classifiers using MCL and MSP
  14. Training a classifier and classifying new sequences
  15. Using the REnvironment
  16. Version history
  17. Workshop

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