- Jan 06, 2019
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Martin Beseda authored
ENH: Added method for evaluation errors on an arbitrary data-set. Several methods overloaded to be able to output into the file according to the open handler.
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Martin Beseda authored
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Martin Beseda authored
ENH: Method run_k_fold_test overloaded, so that it can output not only to STDOUT, but also to the file, either according to its name or to the open handler.
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Martin Beseda authored
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Martin Beseda authored
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Martin Beseda authored
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Martin Beseda authored
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Martin Beseda authored
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- Dec 30, 2018
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Martin Beseda authored
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Martin Beseda authored
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- Dec 29, 2018
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Martin Beseda authored
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Martin Beseda authored
FIX: Removed include of the exception header - it does NOT belong here, as it's not supposed to be used in the API!
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Martin Beseda authored
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Martin Beseda authored
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- Dec 20, 2018
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Martin Beseda authored
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Michal Kravcenko authored
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- Dec 18, 2018
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Martin Beseda authored
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Martin Beseda authored
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Martin Beseda authored
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Martin Beseda authored
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Martin Beseda authored
FIX: added data-set normalization to the example net_test_1 to prevent 'nan' results returned by Gradient descent method.
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Martin Beseda authored
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Martin Beseda authored
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- Nov 25, 2018
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Martin Beseda authored
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Martin Beseda authored
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- Nov 22, 2018
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Martin Beseda authored
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Martin Beseda authored
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Martin Beseda authored
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Martin Beseda authored
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Martin Beseda authored
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- Nov 21, 2018
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Michal Kravcenko authored
# Conflicts: # src/LearningMethods/GradientDescent.cpp # src/examples/net_test_pde_1.cpp
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Martin Beseda authored
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Martin Beseda authored
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Martin Beseda authored
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Martin Beseda authored
ENH + NEW: Implemented the data normalization funcionality to DataSet. Created a new class NormalizationStrategy.
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- Nov 16, 2018
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Martin Beseda authored
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Martin Beseda authored
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Michal Kravcenko authored
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Michal Kravcenko authored
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- Nov 15, 2018
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Martin Beseda authored
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