Help Wanted

AI Summary: This issue proposes creating a new section in the project documentation to showcase community-written articles, tutorials, and blog posts about using the `sklearn-genetic-opt` library. Contributors can submit links to their published content, which will be added to a dedicated "Community Articles" page, helping new users discover valuable external resources and giving recognition to contributors.

AI Summary: This issue is a beginner-friendly task to add a new fun fact about Japan to a JSON file. No coding experience is required, and the contribution can be made directly from the browser in under a minute. It's marked as a 'Good First Issue' and is suitable for Hacktoberfest.

AI Summary: This issue is a beginner-friendly task to add a new color theme called "Bento Sage" to the KanaDojo project. It requires no coding and can be completed entirely through the browser by editing a JSON file and submitting a pull request.

AI Summary: This issue aims to improve the error messages generated by the `from_sklearn_space` function when it encounters unsupported SciPy distributions. The goal is to make these errors more actionable by suggesting alternative ways to represent categorical choices, such as using plain lists or `Categorical` objects, instead of leaving users stuck with unhelpful error messages.

AI Summary: This issue proposes adding lightweight smoke tests for a small selection of documentation example scripts. The goal is to ensure basic functionality like imports and API usage remain intact, preventing subtle breakages that users might encounter when copying example code. The implementation should focus on low-cost examples, avoiding heavy dependencies, and provide clear failure messages.

AI Summary: This issue proposes adding a script to check for broken internal markdown links within the versioned VitePress documentation. The goal is to catch these errors locally before they are published, preventing 404 errors in analytics. The script should scan specific directories, validate relative links, and report any issues clearly.

AI Summary: This issue requests documentation on how to effectively use preset search spaces within scikit-learn Pipelines. It specifically asks for a concise example demonstrating the `prefix` argument's mapping to pipeline parameter names, which is crucial for users integrating preset helpers with their existing pipeline workflows.

AI Summary: This issue is a "Good First Issue" that requires adding a new Japanese cultural etiquette tip to a JSON file. No coding knowledge is needed, and the contribution can be made directly from the browser in under a minute by forking the repository, editing the specified file, and submitting a pull request.

AI Summary: This issue proposes adding input validation for the `top_k` argument in plotting functions within the `sklearn-genetic` library. Currently, invalid `top_k` values (like 0, negative numbers, or non-integers) can lead to confusing empty or unexpected plots. The suggested solution involves creating a helper function to enforce that `top_k` must be a positive integer and adding tests to verify this validation.

AI Summary: This issue aims to improve the readability of candidate labels in plotting helpers by adding new tests for the `_candidate_label` function. These tests will ensure that labels remain concise, display relevant parameter values, and correctly indicate when extra parameters are hidden, especially for candidates with many parameters or long labels.

AI Summary: This issue proposes enhancing error messages in the plotting module to include a list of available metric names when a user provides an invalid metric. This will make it easier for users to identify and correct mistakes when plotting multi-metric search results, improving the user experience.

AI Summary: This issue proposes improving error messages for scheduler adapter validation. When a user provides an invalid object as a scheduler adapter, the error message should clearly state both the expected type and the actual type received, making debugging configuration mistakes much faster for beginners. The suggested implementation involves modifying the `check_adapter` function to include the received type's name in the error message and adding focused tests to verify this behavior.

AI Summary: This issue requests the addition of a minimal, copy-pasteable documentation example for the `TimerStopping` callback in the project's documentation. The goal is to help beginners limit long optimization runs by providing a clear example of how to use `TimerStopping` to set a wall-clock time budget.

AI Summary: This issue proposes adding unit tests for the internal `_as_list` plotting helper function in the `sklearn_genetic` library. The goal is to ensure correct handling of various input types, including `None`, single strings, and iterables, to prevent unexpected behavior in plotting functions. The tests will focus on verifying that a single string is converted to a list containing that string, and that iterables are correctly converted to lists.

AI Summary: This issue proposes improving the error message for the `plot_history` function when an unknown field is provided. The current error only lists missing fields, making it difficult for users, especially beginners, to identify correct field names. The suggested solution is to include a list of available fields in the error message to guide users towards valid options.

AI Summary: This issue is a beginner-friendly task to add a new video game quote to a JSON file. No coding is required, and the contribution can be made directly from the browser in under a minute. The quote is from the Danganronpa series and includes its Japanese, Romaji, and English translations.

AI Summary: This issue is a beginner-friendly task to add a new anime quote to a JSON file. It requires no coding and can be completed directly in the browser by forking the repository, editing the `anime-quotes.json` file, and submitting a pull request. The contribution is designed to be quick and easy for new open-source contributors.

AI Summary: This issue is a beginner-friendly task to add a new Japanese grammar point, "〜ようです" (it seems like), to a JSON file. No coding experience is required, and the contribution can be made directly through the browser in under a minute.

AI Summary: This issue is a beginner-friendly task to add a new trivia question about Japanese food to a JSON file. No coding is required, and the contribution can be made directly from the browser in under a minute. It's labeled as a 'Good First Issue' and is suitable for Hacktoberfest.

AI Summary: This issue is a beginner-friendly task to add a new Japanese haiku to a JSON file. No coding is required, and the contribution can be made directly through the browser in under a minute. It's designed for new open-source contributors and is part of Hacktoberfest.

AI Summary: This issue is a "Good First Issue" that invites contributors to add a new Japanese proverb to a JSON file. No coding is required, and the task can be completed directly in the browser within a minute by forking the repository, editing the specified JSON file, and submitting a pull request.

AI Summary: This issue is a beginner-friendly task to add a new fun fact about Japan to a JSON file. No coding experience is required, and the contribution can be made directly from the browser in under a minute. It's ideal for first-time contributors and Hacktoberfest participants.

AI Summary: This issue is a "Good First Issue" that invites contributors to add a new color theme called "Pearl Wave" to the KanaDojo project. The contribution requires no coding and can be completed directly in the browser by editing a JSON file, making it ideal for beginners.

AI Summary: This issue is a beginner-friendly task to add a single markdown line to a documentation file. It requires no coding knowledge and can be completed directly in the browser within a minute, making it ideal for first-time open-source contributors and Hacktoberfest participants.

AI Summary: This issue is a "Good First Issue" that requires adding a new Japanese cultural etiquette tip to a JSON file. No coding or local setup is needed, and the task can be completed in under a minute directly from the browser. The tip focuses on saying "Itadakimasu" before eating as a gesture of gratitude.

AI Summary: This issue is a beginner-friendly task to add a new video game quote from Persona 5 Strikers to a JSON file. No coding knowledge is required, and the contribution can be completed in under a minute directly from the browser.

AI Summary: This issue is a beginner-friendly task to add a new anime quote to a JSON file. No coding experience is required, and the contribution can be made directly through the browser in under a minute. The quote is from JoJo's Bizarre Adventure and includes its Japanese, Romaji, and English translations.