Class LogisticRegression
- Namespace
- OpenCvSharp.ML
- Assembly
- OpenCvSharp.dll
Implements Logistic Regression classifier.
public class LogisticRegression : StatModel, IDisposable- Inheritance
-
LogisticRegression
- Implements
- Inherited Members
Properties
- Iterations
Number of iterations.
- LearningRate
Learning rate
- MiniBatchSize
Specifies the number of training samples taken in each step of Mini-Batch Gradient. Descent. Will only be used if using LogisticRegression::MINI_BATCH training algorithm. It has to take values less than the total number of training samples.
- Regularization
Kind of regularization to be applied. See LogisticRegression::RegKinds.
- TermCriteria
Termination criteria of the training algorithm.
- TrainMethod
Kind of training method used. See LogisticRegression::Methods.
Methods
- Create()
Creates the empty model.
- GetLearntThetas()
This function returns the trained parameters arranged across rows. For a two class classification problem, it returns a row matrix. It returns learnt parameters of the Logistic Regression as a matrix of type CV_32F.
- Load(string)
Loads and creates a serialized model from a file.
- LoadFromString(string)
Loads algorithm from a String.
- Predict(InputArray, OutputArray, int)
Predicts responses for input samples and returns a float type.