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nextflow.config
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42 lines (35 loc) · 911 Bytes
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manifest {
description = 'Proof-of-concept pipeline for performing hyperparameter optimization of machine learning models with Nextflow'
author = 'Ben Sherman'
nextflowVersion = '>=26.04.0'
}
/*
* Publish settings
*/
workflow.output.mode = 'copy'
/*
* Execution profiles for different environments.
*/
profiles {
test {
params.fetch_datasets = 'iris,diabetes,wdbc'
params.train_models = 'dummy,gb,lr,mlp,rf'
}
test_prepared {
params.train_test_splits = 'data/splits.json'
params.pretrained_models = 'data/pretrained_models.json'
}
slurm {
process.executor = 'slurm'
}
conda {
process.conda = "${projectDir}/conda.yml"
conda.enabled = true
}
wave {
process.conda = "${projectDir}/conda.yml"
docker.enabled = true
wave.enabled = true
wave.strategy = 'conda'
}
}