Closed doliveira4 closed 1 year ago
in my experiments I executed the following steps for each dataset and seed:
source activate srbench
cd srbench/experiment
python evaluate_model.py ~/pmlb/datasets/192_vineyard/192_vineyard.tsv.gz -ml OperonRegressor -seed 11284
assuming that the datasets are at your home directory. You should replace OperonRegressor with your own regressor.
Also check the CI, which runs one experiment (very similar to above). this is in test_evaluate_model.py: https://github.com/cavalab/srbench/blob/master/experiment/test_evaluate_model.py
On Mon, Mar 28, 2022, 11:49 AM Fabricio Olivetti de Franca < @.***> wrote:
in my experiments I executed the following steps for each dataset and seed:
source activate srbenchcd srbench/experiment python evaluate_model.py ~/pmlb/datasets/192_vineyard/192_vineyard.tsv.gz -ml OperonRegressor -seed 11284
assuming that the datasets are at your home directory. You should replace OperonRegressor with your own regressor.
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Where can I find the used datasets?
Nevermind, found it (https://github.com/EpistasisLab/pmlb/tree/master)
appears resolved
Hi there,
Would it be possible to add to your instructions how to exactly run just one of the several Experiments? Perhaps the simplest, fastest, non-empty, experiment - just for validation?
I can't get docker to finish executing, so I need to debug / validate my installation of 'srbench'. I'm completely new to this toolchain, so a bit lost.
Many thanks.