Sweep: documentation - Githubissues

Here's the PR! https://github.com/MeDott29/Finch/pull/8. See Sweep's process at dashboard.

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Sandbox Execution ✓

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Sandbox logs for f1724b1

Checking README.md for syntax errors... ✅ README.md has no syntax errors! 1/1 ✓
Checking README.md for syntax errors...
✅ README.md has no syntax errors!

Sandbox passed on the latest main, so sandbox checks will be enabled for this issue.

Step 1: 🔎 Searching

I found the following snippets in your repository. I will now analyze these snippets and come up with a plan.

Some code snippets I think are relevant in decreasing order of relevance (click to expand). If some file is missing from here, you can mention the path in the ticket description.

https://github.com/MeDott29/Finch/blob/72f3a62249a3aff03ba51eb811ce1b68c577b1ee/README.md#L1-L15 https://github.com/MeDott29/Finch/blob/72f3a62249a3aff03ba51eb811ce1b68c577b1ee/environmental/layers/__init__.py#L1-L4

I also found the following external resources that might be helpful:

**Summaries of links found in the content:** https://finch-1.gitbook.io/finch: Finch is a genetic algorithm library for Python that focuses on flexibility and ease of use. It offers layer-based environments for composable evolution, with multiple built-in environments like Sequential and Adversarial. Finch also provides genepools for genes such as integers, floats, strings, and binary values. The library offers flexible selection and mutation functions, as well as built-in fitness functions for common tasks. It supports GPU acceleration with CuPy for larger populations. Finch includes tools for evolving AI models and prompts, with support for Keras, PyTorch, TensorFlow, and language models. The library allows customization and combination of predefined building blocks into tailored evolutionary algorithms. It also provides automated optimization through adversarial and adaptive environments. With CuPy support and fitness analysis tools, Finch enables scaling up experiments and tracking progress. The documentation for Finch can be found at [https://finch-1.gitbook.io/finch/](https://finch-1.gitbook.io/finch/).

Step 2: ⌨️ Coding

[X] Create DOCS.md ✓ https://github.com/MeDott29/Finch/commit/c60e2114e132ccbfb7caa35cd308328f61c2f6e1 Edit
Create DOCS.md with contents:
• Start by providing an overview of the Finch library, its purpose, and its key features. This information can be obtained from the `README.md` file and the existing documentation at https://finch-1.gitbook.io/finch/.
• Next, describe the structure of the library, including the different modules and their functionalities. This information can be obtained from the various Python files in the `environmental`, `examples`, `functions`, and `ml` directories.
• For each module, describe its purpose, how it works, and provide examples of how to use it. This information can be obtained from the Python files in the `environmental`, `examples`, `functions`, and `ml` directories.
• Finally, provide information on how to install and use the library, as well as any prerequisites or dependencies. This information can be obtained from the `README.md` file and the existing documentation at https://finch-1.gitbook.io/finch/.

[X] Running GitHub Actions for DOCS.md ✓ Edit
Check DOCS.md with contents:

Ran GitHub Actions for c60e2114e132ccbfb7caa35cd308328f61c2f6e1:

[X] Modify README.md ✓ https://github.com/MeDott29/Finch/commit/709d2da26ea9c16dae05e836574016ed4688531e Edit
Modify README.md with contents:
• Add a new section titled "Detailed Documentation" at the end of the file.
• In this section, provide a brief overview of what the detailed documentation covers and include a link to the `DOCS.md` file.

+++ @@ -52,4 +52,9 @@

TensorFlowPool: Evolve the weights of a TensorFlow model
PromptPool: Generate prompt genes with a language model

-Finch makes it easy to customize and combine predefined building blocks into a tailored evolutionary algorithm. The adversarial and adaptive environments provide automated optimization not found in other libraries. With CuPy support and fitness analysis tools, Finch enables scaling up experiments and tracking progress.+Finch makes it easy to customize and combine predefined building blocks into a tailored evolutionary algorithm. The adversarial and adaptive environments provide automated optimization not found in other libraries. With CuPy support and fitness analysis tools, Finch enables scaling up experiments and tracking progress. +# Detailed Documentation + +Detailed documentation for Finch provides comprehensive insights into its design principles, architecture, functionalities, and usage examples. The detailed documentation includes specifics on the genepools, layers, selection and mutation functions, and guidance on how to optimize and evolve AI models using the library. It is an essential resource for practitioners looking to harness the power of genetic algorithms for scalable and flexible solutions. + +For more detailed documentation, please refer to the DOCS.md file.

[X] Running GitHub Actions for README.md ✓ Edit
Check README.md with contents:

Ran GitHub Actions for 709d2da26ea9c16dae05e836574016ed4688531e:

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MeDott29 / Finch

Sweep: documentation #5

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