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Hyperparameter search and AutoML v1.0.0

Use this resource to tune model hyperparameters without validation bias

New

  • 334 downloads
  • 246 likes
  • 222 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install hyperparameter-search-validation

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent defines the metric, baseline model, validation scheme and search space, then runs the search with Optuna, Ray Tune or PyCaret. You get a report that says whether the best result is reliable.

Mostly picked by

Updated November 2, 2026

Card for the “Hyperparameter search and AutoML” skill

Details

Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md: step-by-step method, experiment design and search space
  • SKILL.md: Optuna, Ray Tune, PyCaret and time-series tooling
  • SKILL.md: experiment tracking, reporting and common mistakes

Good fit for

  • You want to improve a model with an automated search
  • An AutoML leaderboard looks too good to be reliable

Not for

    Tags

    • hyperparameters
    • automl
    • optuna
    • validation

    About

    You say

    “Run an Optuna search on my demand forecasting model, with time-based validation.”

    Card for the “Hyperparameter search and AutoML” skill

    Skill published by mindrally under the Apache-2.0 license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to tune model hyperparameters without validation bias
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE11.3 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md9.8 KB

    Origin and licence

    Listed unmodified

    Author
    mindrally
    Source
    github.com/mindrally/skills/tree/7682ca77710e0971eab4e0ae5dddfa281aea0ba5/automl-hyperparameter-optimization
    Licence
    Apache-2.0

    Notice

    « automl-hyperparameter-optimization » (mindrally, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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