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AutoML and hyperparameter tuning rules v1.0.0

Use this resource to run a hyperparameter or model search in Python without leaking data

New

  • 190 downloads
  • 141 likes
  • 235 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install automl-hyperparameter-rule

First time: connect the CLI with

npx --yes palatekit@latest login

Cursor applies these rules to Python machine learning projects: start from a simple baseline, use time-aware splits for time series, fit preprocessing on training folds only, and record seeds, datasets and search spaces.

Mostly picked by

Updated November 2, 2026

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Details

Works in
Install guides
Generates with
Your agent's model
Licence
CC0-1.0

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What you get

  • The .mdc file (in English): experiment design, tracking and tooling rules (Optuna, Ray Tune, PyCaret)
  • A list of time-series tools to choose from based on the project (AutoTS, Merlion, PyAF)

Good fit for

  • A team comparing several forecasting models
  • A project where data leakage must stay under control

Not for

    Tags

    • automl
    • hyperparameters
    • optuna
    • python

    About

    You say

    “Set up an Optuna search with a linear model as the baseline.”

    Card for “AutoML and hyperparameter tuning rules”

    Rule published by PatrickJS under the CC0-1.0 license, delivered in its original version.

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    How to use it

    1. Copy the .mdc file into your project's .cursor/rules/ folder
    2. Ask Cursor to run a hyperparameter or model search in Python without leaking data
    3. Adjust the rule to your conventions

    Content preview

    Files

    • automl-hyperparameter-rule.mdc2.9 KB
    • LICENSE6.5 KB
    • NOTICE-PALATEKIT.md0.5 KB

    Origin and licence

    Listed unmodified

    Author
    PatrickJS
    Source
    github.com/PatrickJS/awesome-cursorrules/blob/b044f956f021b6e8877f16781bcfc466a6a120e9/rules/automl-hyperparameter-optimization.mdc
    Licence
    CC0-1.0

    Notice

    « automl-hyperparameter-optimization » (PatrickJS, CC0-1.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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