The probability that object classes will be seen in
This parameter accepts a list of object class names mapped to floating point numbers. The numbers must be proportional to the prior probability that the object class will be seen. You must assign a value to every class that exists in the classifier.
In the example below, the object classification task expects that more
If you do not set this parameter, the object classification task expects that all of the classes are equally likely to be present in
Note: You can only use this parameter with Bayesian classifiers. The type of classifier is specified with the ClassifierType
training option (see SetClassifierTrainingOption).
Type: | String (comma-separated list) |
---|---|
Default: | |
Required: | No |
Configuration Section: | TaskName |
Example: |
or Priors0=cars : 5 Priors1=vans : 3 Priors2=hgvs : 2 |
See Also: |
|