Why training a probability model (i.e., -b 1) takes a longer time?
To construct this probability model, we internally conduct a cross validation, which is more time consuming than a regular training. Hence, in general you do parameter selection first without -b 1. You only use -b 1 when good parameters have been selected. In other words, you avoid using -b 1 and -v together.
Related Questions
- There is a shortage of air traffic controllers and training them takes time. How will AirAsia cope with this and what of the issue of synchronising information between the two main control towers?
- What happens if it takes the learner longer to achieve the qualification than the time identified by Skills for Care?
- Why training a probability model (i.e., -b 1) takes a longer time?
