Namespace Emgu.CV.ML
Classes
- ANN_MLP
Neural network
- Boost
Boost Tree
- DTrees
Decision Trees
- EM
Expectation Maximization model
- KNearest
The KNearest classifier
- LogisticRegression
ML implements logistic regression, which is a probabilistic classification technique.
- MlInvoke
This class contains functions to call into machine learning module
- NormalBayesClassifier
A Normal Bayes Classifier
- RTrees
Random trees
- SVM
Support Vector Machine
- SVMSGD
Support Vector Machine
- StatModelExtensions
A statistic model
- TrainData
Train data
Structs
- MCvParamGrid
Wrapped CvParamGrid structure used by SVM
Interfaces
- IStatModel
Interface for statistical models in OpenCV ML.
Enums
- ANN_MLP.AnnMlpActivationFunction
Possible activation functions
- ANN_MLP.AnnMlpTrainMethod
Training method for ANN_MLP
- Boost.Type
Boost Type
- DTrees.Flags
Predict options
- EM.CovarianMatrixType
The type of the mixture covariation matrices
- KNearest.Types
The type of KNearest search
- LogisticRegression.RegularizationMethod
Specifies the kind of regularization to be applied.
- LogisticRegression.TrainType
Specifies the kind of training method used.
- SVM.ParamType
The type of SVM parameters
- SVM.SvmKernelType
SVM kernel type
- SVM.SvmType
Type of SVM
- SVMSGD.MarginType
Margin type
- SVMSGD.SvmsgdType
SVMSGD type. ASGD is often the preferable choice.