//
// C++: static Ptr_LogisticRegression cv::ml::LogisticRegression::load(String filepath, String nodeName = String())
//
//javadoc: LogisticRegression::load(filepath, nodeName)
public static LogisticRegression load(string filepath, string nodeName)
{
#if ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
LogisticRegression retVal = LogisticRegression.__fromPtr__(ml_LogisticRegression_load_10(filepath, nodeName));
return(retVal);
#else
return(null);
#endif
}
//
// C++: static Ptr_LogisticRegression cv::ml::LogisticRegression::create()
//
//javadoc: LogisticRegression::create()
public static LogisticRegression create()
{
#if ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
LogisticRegression retVal = LogisticRegression.__fromPtr__(ml_LogisticRegression_create_10());
return(retVal);
#else
return(null);
#endif
}
/**
* Loads and creates a serialized LogisticRegression from a file
*
* Use LogisticRegression::save to serialize and store an LogisticRegression to disk.
* Load the LogisticRegression from this file again, by calling this function with the path to the file.
* Optionally specify the node for the file containing the classifier
*
* param filepath path to serialized LogisticRegression
* return automatically generated
*/
public static LogisticRegression load(string filepath)
{
return(LogisticRegression.__fromPtr__(ml_LogisticRegression_load_11(filepath)));
}
//
// C++: static Ptr_LogisticRegression cv::ml::LogisticRegression::create()
//
/**
* Creates empty model.
*
* Creates Logistic Regression model with parameters given.
* return automatically generated
*/
public static LogisticRegression create()
{
return(LogisticRegression.__fromPtr__(ml_LogisticRegression_create_10()));
}
//
// C++: static Ptr_LogisticRegression cv::ml::LogisticRegression::load(String filepath, String nodeName = String())
//
/**
* Loads and creates a serialized LogisticRegression from a file
*
* Use LogisticRegression::save to serialize and store an LogisticRegression to disk.
* Load the LogisticRegression from this file again, by calling this function with the path to the file.
* Optionally specify the node for the file containing the classifier
*
* param filepath path to serialized LogisticRegression
* param nodeName name of node containing the classifier
* return automatically generated
*/
public static LogisticRegression load(string filepath, string nodeName)
{
return(LogisticRegression.__fromPtr__(ml_LogisticRegression_load_10(filepath, nodeName)));
}