Create hyperparameter for block update in BoostAODE #25

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opened 2024-04-08 20:50:19 +00:00 by rmontanana · 1 comment
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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.

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 &alpha;<sub>t</sub>, &epsilon;, etc. is done taking a micro ensemble with the models belonging to that block.
rmontanana added this to the v1.0.5 milestone 2024-04-08 20:50:19 +00:00
rmontanana added the
💡 enhancement
label 2024-04-08 20:50:19 +00:00
rmontanana self-assigned this 2024-04-08 20:50:20 +00:00
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Already implemented !26

Already implemented !26
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Reference: rmontanana/BayesNet#25
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