- 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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- 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 1月, 2021 1 次提交
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由 jrzaurin 提交于
redo all docs to match pytorch theme. Adjust all documentation to the new code structure. Remove partial imports from...everywhere. Updated examples
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- 26 1月, 2021 1 次提交
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由 jrzaurin 提交于
decoupled the model from the training process via the introduciton of a Trainer class. All seems easier now. Need to adjust all documentation. Also added a few losses and an R2 metric, as well as the possibiliy of customising virually every single component of the model
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- 24 1月, 2021 1 次提交
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由 jrzaurin 提交于
added the possibility of passing a few more loss functions and custom ones if required. Now I need to think if I want it registered as a child or not. Also, need to test all new implementation
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- 12 9月, 2020 1 次提交
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由 jrzaurin 提交于
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- 12 7月, 2020 2 次提交
- 11 7月, 2020 2 次提交
- 27 6月, 2020 1 次提交
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由 jrzaurin 提交于
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- 03 2月, 2020 1 次提交
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由 jrzaurin 提交于
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- 02 2月, 2020 1 次提交
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由 jrzaurin 提交于
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- 26 11月, 2019 1 次提交
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由 jrzaurin 提交于
refined documentation in the WideDeep class. Change the reduction method for the FocalLoss from sum to mean
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- 02 11月, 2019 1 次提交
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由 jrzaurin 提交于
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- 30 10月, 2019 1 次提交
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由 jrzaurin 提交于
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- 16 10月, 2019 1 次提交
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由 jrzaurin 提交于
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- 03 10月, 2019 1 次提交
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由 jrzaurin 提交于
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