Create hyperparameter for block update in BoostAODE #25
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Reference: rmontanana/BayesNet#25
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Create a hyperparameter block_update to perform weights updating and significance computing per block and not per model as it is done by now.
This way if bisection is enabled when inserting for instance 8 models the weights and the significance of these 8 models shall be computed once the whole 8 are inserted to the ensemble, and the predict to compute the αt, ε, etc. is done taking a micro ensemble with the models belonging to that block.
Already implemented !26