- 31 12月, 2021 1 次提交
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由 jrzaurin 提交于
Added two base classes for the tabular models and allowed for bias and activations for the categorical embeddings
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- 29 12月, 2021 1 次提交
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由 jrzaurin 提交于
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- 20 12月, 2021 1 次提交
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由 jrzaurin 提交于
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- 08 12月, 2021 1 次提交
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由 jrzaurin 提交于
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- 20 11月, 2021 1 次提交
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由 jrzaurin 提交于
Against all good practices, this is a massive commit that adds an entire new module with Bayesian models (that are still not functional). Making them functional requires some work. Also the entire models module has been restrucured in preparation for better days to come
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- 15 11月, 2021 1 次提交
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由 jrzaurin 提交于
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- 12 11月, 2021 1 次提交
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由 jrzaurin 提交于
First commit towards v2. Re-organized the models module and added a few new functionalities for the models in there
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- 04 9月, 2021 1 次提交
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由 jrzaurin 提交于
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- 01 9月, 2021 1 次提交
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由 jrzaurin 提交于
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- 28 8月, 2021 1 次提交
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由 jrzaurin 提交于
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- 23 8月, 2021 1 次提交
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由 jrzaurin 提交于
First commit towards the perceiver. Changed modularity so that embeddings are consistent accross models. Adding the perceiver also forced me to change the structure of the TabTransformer and SAINT
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- 11 8月, 2021 1 次提交
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由 jrzaurin 提交于
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- 09 8月, 2021 1 次提交
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由 jrzaurin 提交于
Added cont norm options for all tabular models. Optimize cat embed for transformer models. Adjusted tab preprocessors for transformer models.
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- 05 8月, 2021 1 次提交
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由 jrzaurin 提交于
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- 21 6月, 2021 1 次提交
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由 jrzaurin 提交于
Refined documentation. Added some test for saving model. Added an example notebook. Ready to test installations and publish v1 to pypi
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- 19 6月, 2021 1 次提交
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由 jrzaurin 提交于
Added test for new trainer methods. Back to documentation style more in line with some popular packages like pytorch
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- 30 4月, 2021 1 次提交
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由 jrzaurin 提交于
ModelCheckpoint saves best epoch as well. Added dropout option for tabnet. Adjusted RAdam for new signatures. Adjusted the training so it can take ReduceLROnPlateau. Also so that it automatically restores the best weights after training
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- 18 3月, 2021 1 次提交
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由 jrzaurin 提交于
Change tab_resnet to tab_resnet_blks. Added types to tab_net.py. Cleaned up trainer by moving some methods to tab_net_utils. Adjusted tests
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- 15 3月, 2021 1 次提交
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由 jrzaurin 提交于
Added a few types, refined the docs and added tests for tabnet and the corresponding functionalities
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- 11 3月, 2021 1 次提交
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由 jrzaurin 提交于
added explain and compute feature importance methods to the trainer. Need to add error handling and messaging since these funcionalities are intended only for tabnet. Move the general_utils module to the training module and rename it as trainer_utils. Adapted the create_explain_matrix function to WideDeep
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- 06 3月, 2021 1 次提交
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由 jrzaurin 提交于
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- 05 3月, 2021 1 次提交
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由 jrzaurin 提交于
finished implementing TabNet encoder. Next I need to implement the interpretability methods. Also adjusted WideDeep class to be able to work with TabNet. Renamed some example scripts to be consistent with each other
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- 02 3月, 2021 1 次提交
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由 jrzaurin 提交于
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- 28 2月, 2021 1 次提交
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由 jrzaurin 提交于
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