/** * <p>Trains a boosted tree classifier.</p> * * <p>The train method follows the common template of "CvStatModel.train". The * responses must be categorical, which means that boosted trees cannot be built * for regression, and there should be two classes.</p> * * @param trainData a trainData * @param tflag a tflag * @param responses a responses * * @see <a href="http://docs.opencv.org/modules/ml/doc/boosting.html#cvboost-train">org.opencv.ml.CvBoost.train</a> */ public boolean train(Mat trainData, int tflag, Mat responses) { boolean retVal = train_1(nativeObj, trainData.nativeObj, tflag, responses.nativeObj); return retVal; }
/** * <p>Trains a boosted tree classifier.</p> * * <p>The train method follows the common template of "CvStatModel.train". The * responses must be categorical, which means that boosted trees cannot be built * for regression, and there should be two classes.</p> * * @param trainData a trainData * @param tflag a tflag * @param responses a responses * * @see <a href="http://docs.opencv.org/modules/ml/doc/boosting.html#cvboost-train">org.opencv.ml.CvBoost.train</a> */ public boolean train(Mat trainData, int tflag, Mat responses) { boolean retVal = train_1(nativeObj, trainData.nativeObj, tflag, responses.nativeObj); return retVal; }
/** * <p>Trains a boosted tree classifier.</p> * * <p>The train method follows the common template of "CvStatModel.train". The * responses must be categorical, which means that boosted trees cannot be built * for regression, and there should be two classes.</p> * * @param trainData a trainData * @param tflag a tflag * @param responses a responses * * @see <a href="http://docs.opencv.org/modules/ml/doc/boosting.html#cvboost-train">org.opencv.ml.CvBoost.train</a> */ public boolean train(Mat trainData, int tflag, Mat responses) { boolean retVal = train_1(nativeObj, trainData.nativeObj, tflag, responses.nativeObj); return retVal; }
/** * <p>Trains a boosted tree classifier.</p> * * <p>The train method follows the common template of "CvStatModel.train". The * responses must be categorical, which means that boosted trees cannot be built * for regression, and there should be two classes.</p> * * @param trainData a trainData * @param tflag a tflag * @param responses a responses * * @see <a href="http://docs.opencv.org/modules/ml/doc/boosting.html#cvboost-train">org.opencv.ml.CvBoost.train</a> */ public boolean train(Mat trainData, int tflag, Mat responses) { boolean retVal = train_1(nativeObj, trainData.nativeObj, tflag, responses.nativeObj); return retVal; }