pytaught

Name	pytaught JSON
Version	1.0.0 JSON
	download
home_page	None
Summary	A minimal ML/DL framework written in pure Python and NumPy.
upload_time	2025-10-27 14:58:03
maintainer	None
docs_url	None
author	Sathsara Wijekulasuriya
requires_python	None
license	MIT
keywords	machine learning deep learning framework mlp linear regression
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # pytaught

**pytaught** is a minimal Machine Learning / Deep Learning framework built from scratch using pure Python and NumPy.

## Installation

```bash
pip install pytaught
```

Or build locally:
```bash
python -m build
python -m twine upload dist/*
```

## Usage

```bash
pytaught --csv data.csv --target price --model mlp --hidden-sizes 64 32 --epochs 100
```

If no CSV is given, the framework generates synthetic data automatically.

## Features
- Linear regression and MLP models
- Pure NumPy training loops
- Early stopping and model checkpointing
- CLI interface for flexible training

## License
MIT License © 2025 Sathsara Wijekulasuriya

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "pytaught",
    "maintainer": null,
    "docs_url": null,
    "requires_python": null,
    "maintainer_email": null,
    "keywords": "machine learning, deep learning, framework, mlp, linear regression",
    "author": "Sathsara Wijekulasuriya",
    "author_email": null,
    "download_url": "https://files.pythonhosted.org/packages/42/49/0008f11cd645749610cf4db45d1e09f6a81013dbf30e0219a34897d2db47/pytaught-1.0.0.tar.gz",
    "platform": null,
    "description": "# pytaught\r\n\r\n**pytaught** is a minimal Machine Learning / Deep Learning framework built from scratch using pure Python and NumPy.\r\n\r\n## Installation\r\n\r\n```bash\r\npip install pytaught\r\n```\r\n\r\nOr build locally:\r\n```bash\r\npython -m build\r\npython -m twine upload dist/*\r\n```\r\n\r\n## Usage\r\n\r\n```bash\r\npytaught --csv data.csv --target price --model mlp --hidden-sizes 64 32 --epochs 100\r\n```\r\n\r\nIf no CSV is given, the framework generates synthetic data automatically.\r\n\r\n## Features\r\n- Linear regression and MLP models\r\n- Pure NumPy training loops\r\n- Early stopping and model checkpointing\r\n- CLI interface for flexible training\r\n\r\n## License\r\nMIT License \u00a9 2025 Sathsara Wijekulasuriya\r\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "A minimal ML/DL framework written in pure Python and NumPy.",
    "version": "1.0.0",
    "project_urls": null,
    "split_keywords": [
        "machine learning",
        " deep learning",
        " framework",
        " mlp",
        " linear regression"
    ],
    "urls": [
        {
            "comment_text": null,
            "digests": {
                "blake2b_256": "84fd73f47e958058e8f6dcdcd3cc80700a31f745b55f7bd1e09243bde02c9914",
                "md5": "f49ecb5652de1c6951ddfd7f5ccf17b9",
                "sha256": "4c3b7644d948b3693ea88b4a099a4695bdda687e83bb96a901efe85180d80b58"
            },
            "downloads": -1,
            "filename": "pytaught-1.0.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "f49ecb5652de1c6951ddfd7f5ccf17b9",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 8047,
            "upload_time": "2025-10-27T14:58:01",
            "upload_time_iso_8601": "2025-10-27T14:58:01.798574Z",
            "url": "https://files.pythonhosted.org/packages/84/fd/73f47e958058e8f6dcdcd3cc80700a31f745b55f7bd1e09243bde02c9914/pytaught-1.0.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": null,
            "digests": {
                "blake2b_256": "42490008f11cd645749610cf4db45d1e09f6a81013dbf30e0219a34897d2db47",
                "md5": "46a6824fe1014eb00b42f15fb983107a",
                "sha256": "a8fc9d300c11381ce5ae6345f45d7c3f1eae155d66e211d5bac5a13510299ee4"
            },
            "downloads": -1,
            "filename": "pytaught-1.0.0.tar.gz",
            "has_sig": false,
            "md5_digest": "46a6824fe1014eb00b42f15fb983107a",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 7548,
            "upload_time": "2025-10-27T14:58:03",
            "upload_time_iso_8601": "2025-10-27T14:58:03.235694Z",
            "url": "https://files.pythonhosted.org/packages/42/49/0008f11cd645749610cf4db45d1e09f6a81013dbf30e0219a34897d2db47/pytaught-1.0.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2025-10-27 14:58:03",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "pytaught"
}