You need to provide more details on exactly what you need. I'll take a stab at it:

Are you trying to replicate OpenCV cascade training?
If so, what they call DAB is Scikit learn adaboostclassifier (http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.html)‎ with algorithm=SAMME.
RAB is SAMME.R.


‎Francois


Sent from my BlackBerry 10 Darkphone
From: Afzal Ansari
Sent: Saturday, March 18, 2017 00:51
To: scikit-learn@python.org
Reply To: Scikit-learn user and developer mailing list
Subject: [scikit-learn] Regarding Adaboost classifier

Hello Developers!
 I am currently working on feature extraction method which is based on Haar features for image classification. I am unable to find pure implementation of adaboost classifier algorithm on the internet even on scikit learn web. I need to train the classifier using adaboost classifier to obtain Haar features from image dataset.
Please help me regarding this code. Reply soon.

Thanks in advance.

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