anonymous_namespace{LogisticRegression_.cpp} Namespace Reference

Variables
int	last_id = 0
	Last object id to allocate. More...
map< int, Ptr< LogisticRegression > >	obj_
	Object container. More...
const ConstMap< string, int >	TrainingMethodType
	Option values for Training methods. More...
const ConstMap< int, string >	InvTrainingMethodType
	Option values for Inverse Training methods. More...
const ConstMap< string, int >	RegularizationType
	Option values for Regularization kinds. More...
const ConstMap< int, string >	InvRegularizationType
	Option values for Inverse Regularization kinds. More...

Variable Documentation

InvRegularizationType

const ConstMap<int,string> anonymous_namespace{LogisticRegression_.cpp}::InvRegularizationType

Initial value:

= ConstMap<int,string>
    (cv::ml::LogisticRegression::REG_DISABLE, "Disable")
    (cv::ml::LogisticRegression::REG_L1,      "L1")
    (cv::ml::LogisticRegression::REG_L2,      "L2")

Option values for Inverse Regularization kinds.

Definition at line 39 of file LogisticRegression_.cpp.

InvTrainingMethodType

const ConstMap<int,string> anonymous_namespace{LogisticRegression_.cpp}::InvTrainingMethodType

Initial value:

= ConstMap<int,string>
    (cv::ml::LogisticRegression::BATCH,      "Batch")
    (cv::ml::LogisticRegression::MINI_BATCH, "MiniBatch")

Option values for Inverse Training methods.

Definition at line 28 of file LogisticRegression_.cpp.

last_id

int anonymous_namespace{LogisticRegression_.cpp}::last_id = 0

Last object id to allocate.

Definition at line 18 of file LogisticRegression_.cpp.

obj_

map<int,Ptr<LogisticRegression> > anonymous_namespace{LogisticRegression_.cpp}::obj_

Object container.

Definition at line 20 of file LogisticRegression_.cpp.

RegularizationType

const ConstMap<string,int> anonymous_namespace{LogisticRegression_.cpp}::RegularizationType

Initial value:

= ConstMap<string,int>
    ("Disable", cv::ml::LogisticRegression::REG_DISABLE) 
    ("L1",      cv::ml::LogisticRegression::REG_L1)      
    ("L2",      cv::ml::LogisticRegression::REG_L2)

Option values for Regularization kinds.

Definition at line 33 of file LogisticRegression_.cpp.

TrainingMethodType

const ConstMap<string,int> anonymous_namespace{LogisticRegression_.cpp}::TrainingMethodType

Initial value:

= ConstMap<string,int>
    ("Batch",     cv::ml::LogisticRegression::BATCH)
    ("MiniBatch", cv::ml::LogisticRegression::MINI_BATCH)

Option values for Training methods.

Definition at line 23 of file LogisticRegression_.cpp.