rocca


Namerocca JSON
Version 0.1.0 PyPI version JSON
download
home_pagehttps://github.com/JeffriLieca/rocca
SummaryLibrary Machine Learning Python yang simple dan lengkap
upload_time2024-01-08 02:23:28
maintainer
docs_urlNone
authorJeffri Lieca H
requires_python>=3.7
license
keywords simple apriori tree cluster machine learning code python
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Rocca: Simple Machine Learning

Rocca adalah library Python yang berfokus pada penyediaan implementasi berbagai algoritma machine learning, termasuk metode ensemble, clustering, dan association rule mining.

## Fitur

- Algoritma ensemble: Bagging, Random Forest, XGBoost
- Clustering: K-Means
- Association Rule Mining: Apriori
- Decision Tree: Standar Decision Tree dan Regression Tree

## Tujuan

Rocca dirancang untuk menyederhanakan proses pembelajaran dan eksplorasi dalam pembelajaran mesin. Dengan kode yang sederhana dan mudah dipahami, Rocca bertujuan untuk menjadi alat bantu yang efektif bagi mereka yang baru memulai atau sedang belajar tentang pembelajaran mesin.

## Instalasi

Untuk menginstal Rocca, cukup gunakan pip:

```bash
pip install rocca
```

## Penggunaan

Berikut adalah beberapa contoh penggunaan library Rocca:

```
from rocca.clustering import KMeans

model = KMeans(k=3)
model.fit(X)
labels = model.get_cluster_labels()
```

## Source Code

Akses source codenya di [GitHub](https://github.com/).

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/JeffriLieca/rocca",
    "name": "rocca",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.7",
    "maintainer_email": "",
    "keywords": "simple,apriori,tree,cluster,machine learning,code,python",
    "author": "Jeffri Lieca H",
    "author_email": "handoyojeffri@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/2f/5a/b1f770e566e8240e6fbfd3c76fc9a0fcf680e66ad927a4dc00e8e294fc31/rocca-0.1.0.tar.gz",
    "platform": null,
    "description": "# Rocca: Simple Machine Learning\r\n\r\nRocca adalah library Python yang berfokus pada penyediaan implementasi berbagai algoritma machine learning, termasuk metode ensemble, clustering, dan association rule mining.\r\n\r\n## Fitur\r\n\r\n- Algoritma ensemble: Bagging, Random Forest, XGBoost\r\n- Clustering: K-Means\r\n- Association Rule Mining: Apriori\r\n- Decision Tree: Standar Decision Tree dan Regression Tree\r\n\r\n## Tujuan\r\n\r\nRocca dirancang untuk menyederhanakan proses pembelajaran dan eksplorasi dalam pembelajaran mesin. Dengan kode yang sederhana dan mudah dipahami, Rocca bertujuan untuk menjadi alat bantu yang efektif bagi mereka yang baru memulai atau sedang belajar tentang pembelajaran mesin.\r\n\r\n## Instalasi\r\n\r\nUntuk menginstal Rocca, cukup gunakan pip:\r\n\r\n```bash\r\npip install rocca\r\n```\r\n\r\n## Penggunaan\r\n\r\nBerikut adalah beberapa contoh penggunaan library Rocca:\r\n\r\n```\r\nfrom rocca.clustering import KMeans\r\n\r\nmodel = KMeans(k=3)\r\nmodel.fit(X)\r\nlabels = model.get_cluster_labels()\r\n```\r\n\r\n## Source Code\r\n\r\nAkses source codenya di [GitHub](https://github.com/).\r\n",
    "bugtrack_url": null,
    "license": "",
    "summary": "Library Machine Learning Python yang simple dan lengkap",
    "version": "0.1.0",
    "project_urls": {
        "Homepage": "https://github.com/JeffriLieca/rocca"
    },
    "split_keywords": [
        "simple",
        "apriori",
        "tree",
        "cluster",
        "machine learning",
        "code",
        "python"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "547686a166da260af199a5aac445f9f16d1210564b9df840e0dfbd54289280b7",
                "md5": "ca6b25d2998f1de254af78b40e897fc1",
                "sha256": "f0c60f8c78f5207cae9016ee0214afd9669cd1ef4300e1bbba5e46b86090f0e6"
            },
            "downloads": -1,
            "filename": "rocca-0.1.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "ca6b25d2998f1de254af78b40e897fc1",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.7",
            "size": 38077,
            "upload_time": "2024-01-08T02:23:25",
            "upload_time_iso_8601": "2024-01-08T02:23:25.759685Z",
            "url": "https://files.pythonhosted.org/packages/54/76/86a166da260af199a5aac445f9f16d1210564b9df840e0dfbd54289280b7/rocca-0.1.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "2f5ab1f770e566e8240e6fbfd3c76fc9a0fcf680e66ad927a4dc00e8e294fc31",
                "md5": "e6f1f3713991217d1d7a9c9f37000edd",
                "sha256": "9a70c656ad7fb2c9e5ea2adbdfd8e67b15df56ffedb747093e617bdde64389d6"
            },
            "downloads": -1,
            "filename": "rocca-0.1.0.tar.gz",
            "has_sig": false,
            "md5_digest": "e6f1f3713991217d1d7a9c9f37000edd",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.7",
            "size": 27061,
            "upload_time": "2024-01-08T02:23:28",
            "upload_time_iso_8601": "2024-01-08T02:23:28.908672Z",
            "url": "https://files.pythonhosted.org/packages/2f/5a/b1f770e566e8240e6fbfd3c76fc9a0fcf680e66ad927a4dc00e8e294fc31/rocca-0.1.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-01-08 02:23:28",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "JeffriLieca",
    "github_project": "rocca",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "requirements": [],
    "lcname": "rocca"
}
        
Elapsed time: 0.16632s