org.opencv.ml
Class LogisticRegression
java.lang.Object
extended by org.opencv.core.Algorithm
extended by org.opencv.ml.StatModel
extended by org.opencv.ml.LogisticRegression
public class LogisticRegression
- extends StatModel
Methods inherited from class java.lang.Object |
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
BATCH
public static final int BATCH
- See Also:
- Constant Field Values
MINI_BATCH
public static final int MINI_BATCH
- See Also:
- Constant Field Values
REG_DISABLE
public static final int REG_DISABLE
- See Also:
- Constant Field Values
REG_L1
public static final int REG_L1
- See Also:
- Constant Field Values
REG_L2
public static final int REG_L2
- See Also:
- Constant Field Values
create
public static LogisticRegression create()
-
get_learnt_thetas
public Mat get_learnt_thetas()
-
getIterations
public int getIterations()
-
getLearningRate
public double getLearningRate()
-
getMiniBatchSize
public int getMiniBatchSize()
-
getRegularization
public int getRegularization()
-
getTermCriteria
public TermCriteria getTermCriteria()
-
getTrainMethod
public int getTrainMethod()
-
predict
public float predict(Mat samples)
- Overrides:
predict
in class StatModel
-
predict
public float predict(Mat samples,
Mat results,
int flags)
- Overrides:
predict
in class StatModel
-
setIterations
public void setIterations(int val)
-
setLearningRate
public void setLearningRate(double val)
-
setMiniBatchSize
public void setMiniBatchSize(int val)
-
setRegularization
public void setRegularization(int val)
-
setTermCriteria
public void setTermCriteria(TermCriteria val)
-
setTrainMethod
public void setTrainMethod(int val)
-