Comments (4)
- time limit is only supported for cluster jobs (slurm or LSF clusters). in last year's competition we updated methods to have runtime limits, but this hasn't made its way to the master branch yet.
- scaling is a parameter of
evaluate_model
:srbench/experiment/evaluate_model.py
Line 24 in 47da695
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hi @fnpdaml :
-
to use your own datasets, you want to check out / modify
read_file
inread_file.py
: https://github.com/cavalab/srbench/blob/4cc90adc9c450dad3cb3f82c93136bc2cb3b1a0a/experiment/read_file.py -
if your datasets follow the convention of https://github.com/EpistasisLab/pmlb/tree/master/datasets, i.e. they are in a pandas dataframe with the target column labelled "targert", you can call
read_file
directly just passing the filename like you would with any of the PMLB datasets. -
read_file
is called inevaluate_model
here:srbench/experiment/evaluate_model.py
Line 39 in 4cc90ad
hope that helps
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Hi and thanks for that again!
(I also use the above account interchangeably)
I had to do 3 things:
-
Indeed generate my data in a pandas dataframe with the target column labelled "target";
[I'm fitting a groundtruth: "eq1.tsv"] -
Then it seemed easier just to mimic the PMLB layout - created the corresponding "metadata.yaml" and "summary_stats.tsv" files;
-
Compress my data to "eq1.tsv.gv" - and only now it worked.
But a few issues with "analyze.py":
"--time_limit" seems to have no control on the time it is allowed to run.
(set 5min, had to abort after 1 day)
My data was a 2nd order equation and was not discovered. However, several methods seemed to converge on the same, but different (from the original) answer - is there normalization going on, and where is this controlled and recorded?
Many thanks!
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(bump)
- Any ideas about these questions?
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Related Issues (20)
- typo in feat_install.sh HOT 1
- Are these the same seeds used when running the competition? HOT 2
- Have you considered including TensorGP? HOT 3
- Operon fails to launch from "evaluate_model.py" on Docker image HOT 26
- Always the same wrong result, across different methods *within SRBench*, when trying to fit a simple ground truth equation HOT 19
- Feature renaming issue HOT 1
- ImportError: cannot import name 'itea_srbench' from 'ITEA' HOT 13
- Invalid parameter alpha for estimator PySRRegressor(equations=0.0). HOT 3
- conda install .yml problem HOT 2
- New datasets + reorganization of current benchmarks HOT 5
- deprecated and broken algorithms HOT 5
- itea: error while loading shared libraries
- tir installation error
- run the ML method ------metadata.yaml not found HOT 6
- BSR-got an unexpected keyword "max_time" HOT 1
- where is the .src.ITEA? HOT 4
- Missing model_size HOT 4
- Singularity container for srbench HOT 1
- About Datasets HOT 2
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