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- Wed Jan 13, 2021 4:48 pm
- Forum: Bayesian Machine Learning in Python: A/B Testing
- Topic: Non Stationary Bandits
- Replies: 0
- Views: 32
I reviewed the material on Non Stationary Bandits - and I understand the formula below works is a running calculation of the exponential weighted average favoring recent data: new_mean = (1- alpha) * old_mean + alpha * x I was trying to understand - how I could adapt this formula to perform a runnin...