- 29 Oct, 2017 3 commits
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Valerio Maggio authored
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Valerio Maggio authored
fitting the model. In particular, the `learning_phase` flag will be automatically set to False in case we are predicting on test data. Moreover, a bug has been fixed causing labels preparation on test data to be uneffective.
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Valerio Maggio authored
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- 26 Oct, 2017 4 commits
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Valerio Maggio authored
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Valerio Maggio authored
This should simplify the API when setting specific hyper-parameters using the dot notation
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Valerio Maggio authored
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Valerio Maggio authored
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- 25 Oct, 2017 3 commits
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Valerio Maggio authored
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Valerio Maggio authored
Now the DAP interface better differentiate in names utility (private) methods - starting with `_`, from public methods that has to be reimplemented by sub-classes. This should make the API a little bit less awkward. Moreover, now `deep_learning_dap` forces the settings of `to_categorical` to True - which is True in the 99% of the cases.
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Valerio Maggio authored
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- 24 Oct, 2017 1 commit
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Valerio Maggio authored
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- 20 Oct, 2017 1 commit
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Valerio Maggio authored
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- 13 Sep, 2017 1 commit
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Diego Fioravanti authored
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- 12 Sep, 2017 2 commits
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Valerio Maggio authored
fixed bug with label_binarize adding trick to make it working also with Binary class probles, as expected
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Valerio Maggio authored
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- 11 Sep, 2017 3 commits
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Valerio Maggio authored
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Valerio Maggio authored
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Valerio Maggio authored
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- 28 Jul, 2017 1 commit
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StefanoFioravanzo authored
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- 20 Jul, 2017 2 commits
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Valerio Maggio authored
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Valerio Maggio authored
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- 14 Jul, 2017 3 commits
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Valerio Maggio authored
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Valerio Maggio authored
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Valerio Maggio authored
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