sweep

Automating a parameter sweep requires a spec file to define the parameters and the script to execute. The sweep skill runs the computational script across all parameter combinations, logging each iteration as an experiment and generating a summary report.

Experiment logging during a parameter sweep records every iteration as an experiment note. This process captures the parameters and results of each execution, ensuring that the computational modeling data is tracked for the final stability analysis and summary report.

Parameter sweeps can be executed via both local runs and Slurm jobs. This flexibility allows the computational script to be processed across different execution environments while maintaining consistent experiment logging and stability analysis reporting.

Stability analysis in computational parameter sweeps evaluates the results of all logged experiment iterations to identify the most stable set of parameters. The generated summary report highlights the best parameters and provides a stability assessment for the modeled system.

No external dependencies are required to run a parameter sweep with experiment logging. The skill operates independently to automate script execution, log iterations, and generate stability analysis reports without needing additional packages.

Finding the most stable parameters involves running an automated parameter sweep over the simulation script. The sweep skill logs each execution as an experiment and produces a summary report that assesses stability and identifies the best parameter set.