| December 7, 2018 | ||
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fix plotting resolution for larger scaled learnerNDJorn Hoofwijk authored on 07/12/2018 09:36:21 • Bas Nijholt committed on 07/12/2018 17:06:03 |
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fix example in doc-string of BalancingLearner.saveBas Nijholt authored on 07/12/2018 16:49:59 |
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implement own version of 'round' that speeds up the Learner1D by 30%Bas Nijholt authored on 07/12/2018 12:00:13 |
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Merge branch '126--speed-up-learner1D' into 'master'Bas Nijholt authored on 07/12/2018 11:42:53 |
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Resolve "(Learner1D) improve time complexity"Jorn Hoofwijk authored on 07/12/2018 11:42:53 • Bas Nijholt committed on 07/12/2018 11:42:53 |
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| December 5, 2018 | ||
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fix typo in 'uniform_loss' doc-string, closes #127Bas Nijholt authored on 05/12/2018 13:47:11 |
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| November 28, 2018 | ||
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actually compute the dx by subtracting two DIFFERENT numbersJorn Hoofwijk authored on 28/11/2018 17:33:23 • Bas Nijholt committed on 28/11/2018 21:07:15 |
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| November 27, 2018 | ||
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fix bug with saving of the BalancingLearnerBas Nijholt authored on 27/11/2018 13:59:26 |
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| November 26, 2018 | ||
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adhere to PEP008 by using absolute importsBas Nijholt authored on 26/11/2018 13:39:12 |
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Merge branch 'test_loss_functions' into 'master'Bas Nijholt authored on 26/11/2018 13:26:22 |
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use math.iscloseBas Nijholt authored on 23/11/2018 12:18:37 |
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run fewer points in 'test_learner_performance_is_invariant_under_scaling'Bas Nijholt authored on 23/11/2018 12:04:58 |
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add '_recompute_losses_factor' such that we can set it in the testBas Nijholt authored on 23/11/2018 12:01:56 |
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add 'with_all_loss_functions' to 'run_with'Bas Nijholt authored on 23/11/2018 11:41:52 |
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round the losses to 12 digits to make them equalBas Nijholt authored on 22/11/2018 18:58:19 |
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