XiJianYCYL/Assets/OpenCVForUnity/org/opencv/ml/LogisticRegression.cs


using OpenCVForUnity.CoreModule;
using OpenCVForUnity.UtilsModule;
using System;
using System.Collections.Generic;
using System.Runtime.InteropServices;

namespace OpenCVForUnity.MlModule {

    // C++: class LogisticRegression
    //javadoc: LogisticRegression

    public class LogisticRegression : StatModel {

        protected override void Dispose(bool disposing) {
#if (UNITY_ANDROID && !UNITY_EDITOR)
            try {
                if (disposing) {
                }
                if (IsEnabledDispose) {
                    if (nativeObj != IntPtr.Zero)
                        ml_LogisticRegression_delete(nativeObj);
                    nativeObj = IntPtr.Zero;
                }
            } finally {
                base.Dispose(disposing);
            }
#else
            return;
#endif
        }

        protected internal LogisticRegression(IntPtr addr)
            : base(addr) {
        }

        // internal usage only
        public static new LogisticRegression __fromPtr__(IntPtr addr) {
            return new LogisticRegression(addr);
        }

        // C++: enum RegKinds
        public const int REG_DISABLE = -1;
        public const int REG_L1 = 0;
        public const int REG_L2 = 1;
        // C++: enum Methods
        public const int BATCH = 0;
        public const int MINI_BATCH = 1;
        //
        // C++:  Mat cv::ml::LogisticRegression::get_learnt_thetas()
        //

        //javadoc: LogisticRegression::get_learnt_thetas()
        public Mat get_learnt_thetas() {
            ThrowIfDisposed();
#if (UNITY_ANDROID && !UNITY_EDITOR)

            Mat retVal = new Mat(ml_LogisticRegression_get_1learnt_1thetas_10(nativeObj));

            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_EDITOR)

            LogisticRegression retVal = LogisticRegression.__fromPtr__(ml_LogisticRegression_create_10());

            return retVal;
#else
            return null;
#endif
        }


        //
        // 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_EDITOR)

            LogisticRegression retVal = LogisticRegression.__fromPtr__(ml_LogisticRegression_load_10(filepath, nodeName));

            return retVal;
#else
            return null;
#endif
        }

        //javadoc: LogisticRegression::load(filepath)
        public static LogisticRegression load(string filepath) {
#if (UNITY_ANDROID && !UNITY_EDITOR)

            LogisticRegression retVal = LogisticRegression.__fromPtr__(ml_LogisticRegression_load_11(filepath));

            return retVal;
#else
            return null;
#endif
        }


        //
        // C++:  TermCriteria cv::ml::LogisticRegression::getTermCriteria()
        //

        //javadoc: LogisticRegression::getTermCriteria()
        public TermCriteria getTermCriteria() {
            ThrowIfDisposed();
#if (UNITY_ANDROID && !UNITY_EDITOR)

            double[] tmpArray = new double[3];
            ml_LogisticRegression_getTermCriteria_10(nativeObj, tmpArray);
            TermCriteria retVal = new TermCriteria(tmpArray);

            return retVal;
#else
            return null;
#endif
        }


        //
        // C++:  double cv::ml::LogisticRegression::getLearningRate()
        //

        //javadoc: LogisticRegression::getLearningRate()
        public double getLearningRate() {
            ThrowIfDisposed();
#if (UNITY_ANDROID && !UNITY_EDITOR)

            double retVal = ml_LogisticRegression_getLearningRate_10(nativeObj);

            return retVal;
#else
            return -1;
#endif
        }


        //
        // C++:  float cv::ml::LogisticRegression::predict(Mat samples, Mat& results = Mat(), int flags = 0)
        //

        //javadoc: LogisticRegression::predict(samples, results, flags)
        public override float predict(Mat samples, Mat results, int flags) {
            ThrowIfDisposed();
            if (samples != null)
                samples.ThrowIfDisposed();
            if (results != null)
                results.ThrowIfDisposed();
#if (UNITY_ANDROID && !UNITY_EDITOR)

            float retVal = ml_LogisticRegression_predict_10(nativeObj, samples.nativeObj, results.nativeObj, flags);

            return retVal;
#else
            return -1;
#endif
        }

        //javadoc: LogisticRegression::predict(samples, results)
        public override float predict(Mat samples, Mat results) {
            ThrowIfDisposed();
            if (samples != null)
                samples.ThrowIfDisposed();
            if (results != null)
                results.ThrowIfDisposed();
#if (UNITY_ANDROID && !UNITY_EDITOR)

            float retVal = ml_LogisticRegression_predict_11(nativeObj, samples.nativeObj, results.nativeObj);

            return retVal;
#else
            return -1;
#endif
        }

        //javadoc: LogisticRegression::predict(samples)
        public override float predict(Mat samples) {
            ThrowIfDisposed();
            if (samples != null)
                samples.ThrowIfDisposed();
#if (UNITY_ANDROID && !UNITY_EDITOR)

            float retVal = ml_LogisticRegression_predict_12(nativeObj, samples.nativeObj);

            return retVal;
#else
            return -1;
#endif
        }


        //
        // C++:  int cv::ml::LogisticRegression::getIterations()
        //

        //javadoc: LogisticRegression::getIterations()
        public int getIterations() {
            ThrowIfDisposed();
#if (UNITY_ANDROID && !UNITY_EDITOR)

            int retVal = ml_LogisticRegression_getIterations_10(nativeObj);

            return retVal;
#else
            return -1;
#endif
        }


        //
        // C++:  int cv::ml::LogisticRegression::getMiniBatchSize()
        //

        //javadoc: LogisticRegression::getMiniBatchSize()
        public int getMiniBatchSize() {
            ThrowIfDisposed();
#if (UNITY_ANDROID && !UNITY_EDITOR)

            int retVal = ml_LogisticRegression_getMiniBatchSize_10(nativeObj);

            return retVal;
#else
            return -1;
#endif
        }


        //
        // C++:  int cv::ml::LogisticRegression::getRegularization()
        //

        //javadoc: LogisticRegression::getRegularization()
        public int getRegularization() {
            ThrowIfDisposed();
#if (UNITY_ANDROID && !UNITY_EDITOR)

            int retVal = ml_LogisticRegression_getRegularization_10(nativeObj);

            return retVal;
#else
            return -1;
#endif
        }


        //
        // C++:  int cv::ml::LogisticRegression::getTrainMethod()
        //

        //javadoc: LogisticRegression::getTrainMethod()
        public int getTrainMethod() {
            ThrowIfDisposed();
#if (UNITY_ANDROID && !UNITY_EDITOR)

            int retVal = ml_LogisticRegression_getTrainMethod_10(nativeObj);

            return retVal;
#else
            return -1;
#endif
        }


        //
        // C++:  void cv::ml::LogisticRegression::setIterations(int val)
        //

        //javadoc: LogisticRegression::setIterations(val)
        public void setIterations(int val) {
            ThrowIfDisposed();
#if (UNITY_ANDROID && !UNITY_EDITOR)

            ml_LogisticRegression_setIterations_10(nativeObj, val);

            return;
#else
            return;
#endif
        }


        //
        // C++:  void cv::ml::LogisticRegression::setLearningRate(double val)
        //

        //javadoc: LogisticRegression::setLearningRate(val)
        public void setLearningRate(double val) {
            ThrowIfDisposed();
#if (UNITY_ANDROID && !UNITY_EDITOR)

            ml_LogisticRegression_setLearningRate_10(nativeObj, val);

            return;
#else
            return;
#endif
        }


        //
        // C++:  void cv::ml::LogisticRegression::setMiniBatchSize(int val)
        //

        //javadoc: LogisticRegression::setMiniBatchSize(val)
        public void setMiniBatchSize(int val) {
            ThrowIfDisposed();
#if (UNITY_ANDROID && !UNITY_EDITOR)

            ml_LogisticRegression_setMiniBatchSize_10(nativeObj, val);

            return;
#else
            return;
#endif
        }


        //
        // C++:  void cv::ml::LogisticRegression::setRegularization(int val)
        //

        //javadoc: LogisticRegression::setRegularization(val)
        public void setRegularization(int val) {
            ThrowIfDisposed();
#if (UNITY_ANDROID && !UNITY_EDITOR)

            ml_LogisticRegression_setRegularization_10(nativeObj, val);

            return;
#else
            return;
#endif
        }


        //
        // C++:  void cv::ml::LogisticRegression::setTermCriteria(TermCriteria val)
        //

        //javadoc: LogisticRegression::setTermCriteria(val)
        public void setTermCriteria(TermCriteria val) {
            ThrowIfDisposed();
#if (UNITY_ANDROID && !UNITY_EDITOR)

            ml_LogisticRegression_setTermCriteria_10(nativeObj, val.type, val.maxCount, val.epsilon);

            return;
#else
            return;
#endif
        }


        //
        // C++:  void cv::ml::LogisticRegression::setTrainMethod(int val)
        //

        //javadoc: LogisticRegression::setTrainMethod(val)
        public void setTrainMethod(int val) {
            ThrowIfDisposed();
#if (UNITY_ANDROID && !UNITY_EDITOR)

            ml_LogisticRegression_setTrainMethod_10(nativeObj, val);

            return;
#else
            return;
#endif
        }



#if (UNITY_ANDROID && !UNITY_EDITOR)
        const string LIBNAME = "opencvforunity";


        // C++:  Mat cv::ml::LogisticRegression::get_learnt_thetas()
        [DllImport(LIBNAME)]
        private static extern IntPtr ml_LogisticRegression_get_1learnt_1thetas_10(IntPtr nativeObj);

        // C++: static Ptr_LogisticRegression cv::ml::LogisticRegression::create()
        [DllImport(LIBNAME)]
        private static extern IntPtr ml_LogisticRegression_create_10();

        // C++: static Ptr_LogisticRegression cv::ml::LogisticRegression::load(String filepath, String nodeName = String())
        [DllImport(LIBNAME)]
        private static extern IntPtr ml_LogisticRegression_load_10(string filepath, string nodeName);

        [DllImport(LIBNAME)]
        private static extern IntPtr ml_LogisticRegression_load_11(string filepath);

        // C++:  TermCriteria cv::ml::LogisticRegression::getTermCriteria()
        [DllImport(LIBNAME)]
        private static extern void ml_LogisticRegression_getTermCriteria_10(IntPtr nativeObj, double[] retVal);

        // C++:  double cv::ml::LogisticRegression::getLearningRate()
        [DllImport(LIBNAME)]
        private static extern double ml_LogisticRegression_getLearningRate_10(IntPtr nativeObj);

        // C++:  float cv::ml::LogisticRegression::predict(Mat samples, Mat& results = Mat(), int flags = 0)
        [DllImport(LIBNAME)]
        private static extern float ml_LogisticRegression_predict_10(IntPtr nativeObj, IntPtr samples_nativeObj, IntPtr results_nativeObj, int flags);

        [DllImport(LIBNAME)]
        private static extern float ml_LogisticRegression_predict_11(IntPtr nativeObj, IntPtr samples_nativeObj, IntPtr results_nativeObj);

        [DllImport(LIBNAME)]
        private static extern float ml_LogisticRegression_predict_12(IntPtr nativeObj, IntPtr samples_nativeObj);

        // C++:  int cv::ml::LogisticRegression::getIterations()
        [DllImport(LIBNAME)]
        private static extern int ml_LogisticRegression_getIterations_10(IntPtr nativeObj);

        // C++:  int cv::ml::LogisticRegression::getMiniBatchSize()
        [DllImport(LIBNAME)]
        private static extern int ml_LogisticRegression_getMiniBatchSize_10(IntPtr nativeObj);

        // C++:  int cv::ml::LogisticRegression::getRegularization()
        [DllImport(LIBNAME)]
        private static extern int ml_LogisticRegression_getRegularization_10(IntPtr nativeObj);

        // C++:  int cv::ml::LogisticRegression::getTrainMethod()
        [DllImport(LIBNAME)]
        private static extern int ml_LogisticRegression_getTrainMethod_10(IntPtr nativeObj);

        // C++:  void cv::ml::LogisticRegression::setIterations(int val)
        [DllImport(LIBNAME)]
        private static extern void ml_LogisticRegression_setIterations_10(IntPtr nativeObj, int val);

        // C++:  void cv::ml::LogisticRegression::setLearningRate(double val)
        [DllImport(LIBNAME)]
        private static extern void ml_LogisticRegression_setLearningRate_10(IntPtr nativeObj, double val);

        // C++:  void cv::ml::LogisticRegression::setMiniBatchSize(int val)
        [DllImport(LIBNAME)]
        private static extern void ml_LogisticRegression_setMiniBatchSize_10(IntPtr nativeObj, int val);

        // C++:  void cv::ml::LogisticRegression::setRegularization(int val)
        [DllImport(LIBNAME)]
        private static extern void ml_LogisticRegression_setRegularization_10(IntPtr nativeObj, int val);

        // C++:  void cv::ml::LogisticRegression::setTermCriteria(TermCriteria val)
        [DllImport(LIBNAME)]
        private static extern void ml_LogisticRegression_setTermCriteria_10(IntPtr nativeObj, int val_type, int val_maxCount, double val_epsilon);

        // C++:  void cv::ml::LogisticRegression::setTrainMethod(int val)
        [DllImport(LIBNAME)]
        private static extern void ml_LogisticRegression_setTrainMethod_10(IntPtr nativeObj, int val);

        // native support for java finalize()
        [DllImport(LIBNAME)]
        private static extern void ml_LogisticRegression_delete(IntPtr nativeObj);

#endif

    }
}