DROCC Code #196
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DROCC Code #196
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added 16 commits
July 20, 2020 16:10
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| # Deep Robust One-Class Classification | |||
| In this directory we present examples of how to use the `DROCCTrainer` to replicate results in [paper](https://proceedings.icml.cc/book/4293.pdf). | |||
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add instructions to install drocc trainer from ROOT/pytorch
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| #### Abalone | ||
| ``` | ||
| python3 main_tabular.py --hd 128 --lr 0.001 --lamda 1 --gamma 2 --ascent_step_size 0.001 --radius 3 --batch_size 256 --epochs 200 --optim 0 --restore 0 --metric F1 -d "root_data" |
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was able to follow instructions and run.
At the start of the log, I see:
(1862, 8) (1862,) (58, 8) (1891,)
Can you please add annotation for what these are, or just remove them from the print out
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added annotation on number of train samples and test samples
examples/pytorch/DROCC/README.md
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| ``` | ||
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| ## Arguments Detail |
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add another level of indentation ###
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@harsha-simhadri addressed the comments. Please approve the PR |
harsha-simhadri
approved these changes
Jul 29, 2020
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drocc_trainer : /pytorch/edgeml_pytorch/trainer
Example Files : /examples/pytorch/DROCC/
Please try to check if you are able to follow the readme.