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我正在使用16類問題的決策樹。我將參數設置爲OpenCV決策樹參數問題
CvDTreeParams params = CvDTreeParams(50, // max depth
100,// min sample count
0, // regression accuracy: N/A here
true, // compute surrogate split, no missing data
16, // max number of categories (use sub-optimal algorithm for larger numbers)
5, // the number of cross-validation folds
false, // use 1SE rule => smaller tree
false, // throw away the pruned tree branches
priors // the array of priors
);
CvDTree* dtree = new CvDTree();
dtree->train(data, CV_ROW_SAMPLE, classes,
Mat(), Mat(), var_type, Mat(), params);
但是生成的樹僅給出了最大深度25。這不是增加深度。我在Matlab上嘗試了相同的數據,並且樹深度爲50.是否有限制OpenCV中樹的深度?