GH-6723 AdaBoost API #15732
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GH-6723 AdaBoost API #15732
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* first version of Adaboost works similarly to scikit on prostate, airlines, and higgs * add probabilities by Obtaining Calibrated Probabilities from Boosting paper * add unit test to inner tasks * use test files again in the large tests * Improve basic training test to look into structure of weak learners * add simple model summary * implement possibility to have a custom weights column and ensure that the created weights column will always be the one we use * add categorical test * refactor learning rate to learn rate * add documentation and validation to parameters * add documentation to AdaBoost class * add log * add GLM as a learner * add GBM as a weak learner * refactor n_estimators to nlearners * ensure that adaboost create exactly nlearners models * GH-6723 AdaBoost API (#15732) ** implement AdaBoost API for python and R ** Expose weights column ** Refactor learning_rate to learn_rate ** Add GBM to the weak_learners ** Refactor n_estimators to nlearners
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#6723
Implementation of AdaBoost algorithm - only API.