Class Boost
- Namespace
- OpenCvSharp.ML
- Assembly
- OpenCvSharp.dll
Boosted tree classifier derived from DTrees
public class Boost : DTrees, IDisposable- Inheritance
-
Boost
- Implements
- Inherited Members
Properties
- BoostType
Type of the boosting algorithm. See Boost::Types. Default value is Boost::REAL.
- WeakCount
The number of weak classifiers. Default value is 100.
- WeightTrimRate
A threshold between 0 and 1 used to save computational time. Samples with summary weight \f$\leq 1 - weight_trim_rate do not participate in the next iteration of training. Set this parameter to 0 to turn off this functionality. Default value is 0.95.
Methods
- Create()
Creates the empty model.
- Load(string)
Loads and creates a serialized model from a file.
- LoadFromString(string)
Loads algorithm from a String.