SVMSGD

Objective-C

@interface SVMSGD : StatModel

Swift

class SVMSGD : StatModel

**********************************************************************************\ Stochastic Gradient Descent SVM Classifier * ************************************************************************************

Member of Ml

Methods

  • Declaration

    Objective-C

    - (nonnull Mat *)getWeights;

    Swift

    func getWeights() -> Mat

    Return Value

    the weights of the trained model (decision function f(x) = weights * x + shift).

  • Creates empty model. Use StatModel::train to train the model. Since %SVMSGD has several parameters, you may want to find the best parameters for your problem or use setOptimalParameters() to set some default parameters.

    Declaration

    Objective-C

    + (nonnull SVMSGD *)create;

    Swift

    class func create() -> SVMSGD

  • Loads and creates a serialized SVMSGD from a file

    Use SVMSGD::save to serialize and store an SVMSGD to disk. Load the SVMSGD from this file again, by calling this function with the path to the file. Optionally specify the node for the file containing the classifier

    Declaration

    Objective-C

    + (nonnull SVMSGD *)load:(nonnull NSString *)filepath
                nodeName:(nonnull NSString *)nodeName;

    Swift

    class func load(filepath: String, nodeName: String) -> SVMSGD

    Parameters

    filepath

    path to serialized SVMSGD
    nodeName

    name of node containing the classifier

  • Loads and creates a serialized SVMSGD from a file

    Use SVMSGD::save to serialize and store an SVMSGD to disk. Load the SVMSGD from this file again, by calling this function with the path to the file. Optionally specify the node for the file containing the classifier

    Declaration

    Objective-C

    + (nonnull SVMSGD *)load:(nonnull NSString *)filepath;

    Swift

    class func load(filepath: String) -> SVMSGD

    Parameters

    filepath

    path to serialized SVMSGD

  • See

    -setTermCriteria:

    Declaration

    Objective-C

    - (nonnull TermCriteria *)getTermCriteria;

    Swift

    func getTermCriteria() -> TermCriteria

  • See

    -setInitialStepSize:

    Declaration

    Objective-C

    - (float)getInitialStepSize;

    Swift

    func getInitialStepSize() -> Float

  • See

    -setMarginRegularization:

    Declaration

    Objective-C

    - (float)getMarginRegularization;

    Swift

    func getMarginRegularization() -> Float

  • Declaration

    Objective-C

    - (float)getShift;

    Swift

    func getShift() -> Float

    Return Value

    the shift of the trained model (decision function f(x) = weights * x + shift).

  • See

    -setStepDecreasingPower:

    Declaration

    Objective-C

    - (float)getStepDecreasingPower;

    Swift

    func getStepDecreasingPower() -> Float

  • See

    -setMarginType:

    Declaration

    Objective-C

    - (int)getMarginType;

    Swift

    func getMarginType() -> Int32

  • See

    -setSvmsgdType:

    Declaration

    Objective-C

    - (int)getSvmsgdType;

    Swift

    func getSvmsgdType() -> Int32

  • getInitialStepSize - see: -getInitialStepSize:

    Declaration

    Objective-C

    - (void)setInitialStepSize:(float)InitialStepSize;

    Swift

    func setInitialStepSize(InitialStepSize: Float)

  • getMarginRegularization - see: -getMarginRegularization:

    Declaration

    Objective-C

    - (void)setMarginRegularization:(float)marginRegularization;

    Swift

    func setMarginRegularization(marginRegularization: Float)

  • getMarginType - see: -getMarginType:

    Declaration

    Objective-C

    - (void)setMarginType:(int)marginType;

    Swift

    func setMarginType(marginType: Int32)

  • Function sets optimal parameters values for chosen SVM SGD model.

    Declaration

    Objective-C

    - (void)setOptimalParameters:(int)svmsgdType marginType:(int)marginType;

    Swift

    func setOptimalParameters(svmsgdType: Int32, marginType: Int32)

    Parameters

    svmsgdType

    is the type of SVMSGD classifier.
    marginType

    is the type of margin constraint.

  • Function sets optimal parameters values for chosen SVM SGD model.

    Declaration

    Objective-C

    - (void)setOptimalParameters:(int)svmsgdType;

    Swift

    func setOptimalParameters(svmsgdType: Int32)

    Parameters

    svmsgdType

    is the type of SVMSGD classifier.

  • Function sets optimal parameters values for chosen SVM SGD model.

    Declaration

    Objective-C

    - (void)setOptimalParameters;

    Swift

    func setOptimalParameters()

  • getStepDecreasingPower - see: -getStepDecreasingPower:

    Declaration

    Objective-C

    - (void)setStepDecreasingPower:(float)stepDecreasingPower;

    Swift

    func setStepDecreasingPower(stepDecreasingPower: Float)

  • getSvmsgdType - see: -getSvmsgdType:

    Declaration

    Objective-C

    - (void)setSvmsgdType:(int)svmsgdType;

    Swift

    func setSvmsgdType(svmsgdType: Int32)

  • getTermCriteria - see: -getTermCriteria:

    Declaration

    Objective-C

    - (void)setTermCriteria:(nonnull TermCriteria *)val;

    Swift

    func setTermCriteria(val: TermCriteria)