AcademyRulesData and reporting
Data teams running model experiments who want Cursor to follow sound validation and run-tracking habits.
mkdir -p .cursor/rules && curl -fsSL https://raw.githubusercontent.com/PatrickJS/awesome-cursorrules/main/rules/automl-hyperparameter-optimization.mdc -o .cursor/rules/automl-hyperparameter-optimization.mdcThird party software. By copying, downloading or installing it you accept the Academy legal notice: you are responsible for reviewing its code and permissions before use.
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A Cursor rules file that guides how the assistant sets up AutoML and hyperparameter searches. It starts from a simple baseline and a fixed metric, keeps validation free of leakage, uses time-aware splits for time series, and records seeds, splits and search spaces for each run.
Data teams running model experiments who want Cursor to follow sound validation and run-tracking habits. A Cursor rules file that guides how the assistant sets up AutoML and hyperparameter searches. It starts from a simple baseline and a fixed metric, keeps validation free of leakage, uses time-aware splits for time series, and records seeds, splits and search spaces for each run.
Run this in your terminal: mkdir -p .cursor/rules && curl -fsSL https://raw.githubusercontent.com/PatrickJS/awesome-cursorrules/main/rules/automl-hyperparameter-optimization.mdc -o .cursor/rules/automl-hyperparameter-optimization.mdc
Yes. The code is on GitHub (PatrickJS/awesome-cursorrules) under the CC0-1.0 licence.
It passed our automatic scan for credential theft, hidden instructions and risky install commands. Third party open source software. Sabemos AI does not maintain it. Check the code and permissions before you connect it to company data.