impose constraints on the transition probability.
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Description
I was wondering if it is possible to impose constraints on the transition probability. I want to train a specific type of HMM where there are no transitions from a higher indexed state to a lower indexed state (also called the Bakis model). By means of which, if a system goes from any state z𝑖 to another state z𝑗 where 𝑖 , then it cannot go back to the previous state. How can i add this constraint in the code? I would be very grateful indeed for any help you could give me.
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Research direction
The issue does not identify a file, test, or entry point. Clarify where transition probabilities are implemented and how the Bakis constraint should be specified before defining completion.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100