- 08 8月, 2020 4 次提交
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由 jrzaurin 提交于
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由 jrzaurin 提交于
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由 jrzaurin 提交于
Changed loss value printed on the screen for regression. From RMSE to MSE. Adjusted documentation. Also changed unit test for callbacks to the new Linear-Embedding implementation, which implied incresing delta for early stopping
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由 jrzaurin 提交于
#18 Implementation of the Linear model that is the wide component via an Embedding layer. This helps optimize speed and memory usage. Adapted all the submodules accordingly
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- 21 7月, 2020 4 次提交
- 19 7月, 2020 4 次提交
- 18 7月, 2020 1 次提交
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由 jrzaurin 提交于
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- 14 7月, 2020 1 次提交
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由 jrzaurin 提交于
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- 13 7月, 2020 11 次提交
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由 jrzaurin 提交于
added link to the docs in the pypi_README file. Note this is a temporal solution. As soon as I manage to include the pngs in the pypi publication this file will dissapear
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由 jrzaurin 提交于
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由 jrzaurin 提交于
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由 jrzaurin 提交于
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由 jrzaurin 提交于
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由 jrzaurin 提交于
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由 Javier 提交于
Build docs
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由 Javier 提交于
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由 jrzaurin 提交于
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由 jrzaurin 提交于
Added a README file so that it looks decent in pypi (I know is not elegant, but I have not managed to properly display png
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由 jrzaurin 提交于
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- 12 7月, 2020 4 次提交
- 11 7月, 2020 6 次提交
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由 jrzaurin 提交于
fixing bug related to the Focal Loss. Replaced binary_cross_entropy_with logits with binary_cross_entropy for the binary classification case
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由 jrzaurin 提交于
fixing bug related to the Focal Loss. Replaced binary_cross_entropy_with logits with binary_cross_entropy
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由 jrzaurin 提交于
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由 jrzaurin 提交于
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由 jrzaurin 提交于
Adapted the examples to the small code changes. Replace add_ with add in WideDeep to avoid annoying warnings. Replace output_dim with pred_dim in Wide for consistentcy
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由 jrzaurin 提交于
Adapted the examples to the small code changes. Replace add_ with add in WideDeep to avoid annoying warnings. Replace output_dim with pred_dim in Wide for consistentcy
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- 10 7月, 2020 2 次提交
- 07 7月, 2020 1 次提交
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由 jrzaurin 提交于
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- 04 7月, 2020 1 次提交
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由 jrzaurin 提交于
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- 30 6月, 2020 1 次提交
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由 jrzaurin 提交于
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