| BoostTypes Enumeration |
Boosting type.
Gentle AdaBoost and Real AdaBoost are often the preferable choices.
Namespace:
OpenCvSharp.ML
Assembly:
OpenCvSharp (in OpenCvSharp.dll) Version: 1.0.0
Syntax Members
| Member name | Value | Description |
---|
| Discrete | 0 |
Discrete AdaBoost.
|
| Real | 1 |
Real AdaBoost. It is a technique that utilizes confidence-rated predictions
and works well with categorical data.
|
| Logit | 2 |
LogitBoost. It can produce good regression fits.
|
| Gentle | 3 |
Gentle AdaBoost. It puts less weight on outlier data points and for that
reason is often good with regression data.
|
See Also