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block_update #26

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rmontanana merged 8 commits from block_update into main 2024-04-15 10:26:51 +00:00
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rmontanana commented 2024-04-15 10:26:38 +00:00
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Using bisection the models inserted in block can be updated its significance and the weights used in its training, by block instead of model by model.

Using bisection the models inserted in block can be updated its significance and the weights used in its training, by block instead of model by model.
rmontanana added 8 commits 2024-04-15 10:26:38 +00:00 
Due to the change of default values for hyperparameters in BoostAODE
rmontanana merged commit 7d906b24d1 into main 2024-04-15 10:26:51 +00:00
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Reference: rmontanana/BayesNet#26
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