statlab


Namestatlab JSON
Version 0.0.2 PyPI version JSON
download
home_pageNone
SummaryA python package offering a variety of statistical and machine learning tools.
upload_time2024-09-05 14:27:46
maintainerNone
docs_urlNone
authorNone
requires_python>=3.8
licenseNone
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
# statlab
[![PyPi version](https://badgen.net/pypi/v/statlab)](https://pypi.org/project/statlab)


statlab is a new Python package offering a variety of statistical and machine learning tools.

This package is being developed by Noam Rotenberg and Zan Chaudhry.


# Products

## "ord" ordinal classification tools
Submodule contains:
+ TreeOrdinalClassifier
+ SubtractionOrdinalClassifier
+ Functions to calculate classification metrics on ordinal data

Submodule developed by: Noam Rotenberg, Andreia Faria, Brian Caffo

Examples coming soon!


# Usage

Install: ``!pip install statlab``

Import a single module: ``import statlab.ord`` - imports only ord

Import all modules: ``from statlab.all import *`` - can access any function without prefixes, e.g., ``TreeOrdinalClassifier(base_clf)``

Specific example:
```
!pip install statlab
import statlab.ord
base_clf = # some sklearn-style classifier
clf = statlab.ord.TreeOrdinalClassifier(base_clf)
```

# Future work:

+ Dataset mislabeling detection and classification
+ Naive Bayes classifier using nonparametric statistics
+ Automated nonlinear feature tuning

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "statlab",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.8",
    "maintainer_email": null,
    "keywords": null,
    "author": null,
    "author_email": "Noam Rotenberg <nrotenb1@alumni.jh.edu>, Zan Chaudhry <zchaudh3@alumni.jh.edu>",
    "download_url": "https://files.pythonhosted.org/packages/a2/e1/93be10179fc0f1cb6c516b40324967916f672a6d6eecc9d0d011a217836f/statlab-0.0.2.tar.gz",
    "platform": null,
    "description": "\n# statlab\n[![PyPi version](https://badgen.net/pypi/v/statlab)](https://pypi.org/project/statlab)\n\n\nstatlab is a new Python package offering a variety of statistical and machine learning tools.\n\nThis package is being developed by Noam Rotenberg and Zan Chaudhry.\n\n\n# Products\n\n## \"ord\" ordinal classification tools\nSubmodule contains:\n+ TreeOrdinalClassifier\n+ SubtractionOrdinalClassifier\n+ Functions to calculate classification metrics on ordinal data\n\nSubmodule developed by: Noam Rotenberg, Andreia Faria, Brian Caffo\n\nExamples coming soon!\n\n\n# Usage\n\nInstall: ``!pip install statlab``\n\nImport a single module: ``import statlab.ord`` - imports only ord\n\nImport all modules: ``from statlab.all import *`` - can access any function without prefixes, e.g., ``TreeOrdinalClassifier(base_clf)``\n\nSpecific example:\n```\n!pip install statlab\nimport statlab.ord\nbase_clf = # some sklearn-style classifier\nclf = statlab.ord.TreeOrdinalClassifier(base_clf)\n```\n\n# Future work:\n\n+ Dataset mislabeling detection and classification\n+ Naive Bayes classifier using nonparametric statistics\n+ Automated nonlinear feature tuning\n",
    "bugtrack_url": null,
    "license": null,
    "summary": "A python package offering a variety of statistical and machine learning tools.",
    "version": "0.0.2",
    "project_urls": {
        "Homepage": "https://github.com/noamrotenberg/statlab"
    },
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "eba52c272b8ed60f5689d022101a0542d56ece993380d21433f63277e8801d1b",
                "md5": "362dafd8bd95f0f36f80a57ee50fd6ac",
                "sha256": "29117cc8cb4918440ee5e4acf57a29a767b1fbe0913ff6cd323f987394bae9f6"
            },
            "downloads": -1,
            "filename": "statlab-0.0.2-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "362dafd8bd95f0f36f80a57ee50fd6ac",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.8",
            "size": 6098,
            "upload_time": "2024-09-05T14:27:44",
            "upload_time_iso_8601": "2024-09-05T14:27:44.786055Z",
            "url": "https://files.pythonhosted.org/packages/eb/a5/2c272b8ed60f5689d022101a0542d56ece993380d21433f63277e8801d1b/statlab-0.0.2-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "a2e193be10179fc0f1cb6c516b40324967916f672a6d6eecc9d0d011a217836f",
                "md5": "4491acfc554228c1dbc3d4433ae71573",
                "sha256": "604d54e24be5d9e2adf92c54dbdc800d93deabb8b1d54b5d47dc49dce23dfd4c"
            },
            "downloads": -1,
            "filename": "statlab-0.0.2.tar.gz",
            "has_sig": false,
            "md5_digest": "4491acfc554228c1dbc3d4433ae71573",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.8",
            "size": 5256,
            "upload_time": "2024-09-05T14:27:46",
            "upload_time_iso_8601": "2024-09-05T14:27:46.554679Z",
            "url": "https://files.pythonhosted.org/packages/a2/e1/93be10179fc0f1cb6c516b40324967916f672a6d6eecc9d0d011a217836f/statlab-0.0.2.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-09-05 14:27:46",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "noamrotenberg",
    "github_project": "statlab",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "lcname": "statlab"
}
        
Elapsed time: 1.08450s