dia-adfpro


Namedia-adfpro JSON
Version 1.6.7 PyPI version JSON
download
home_pagehttps://github.com/EliLillyCo/MQIT_DIA_ADFPRO
SummaryA Python application for anomaly detection
upload_time2023-06-30 07:40:16
maintainer
docs_urlNone
authorFrancesco Gabbanini, Manjunath Bagewadi, Henson Tauro
requires_python
licenseMIT
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # MQIT_DIA_ADFPRO

Anomaly Detection for Fast PROcesses (ADFPRO) is a Python application used to implement anomaly detection for "fast" processes that can be described by multiple features.

Fast means processes that are repeated continuously on manufacturing equipments and have a duration of a few seconds.



Repository includes 2 modules:

1) used from ML frameworks running on the cloud (Domino, SageMaker, AzureML) to trigger model training and classification on datasets having a certain structure;

2) used to implement Dash dashboards to visualize results



Uses code contained in MQIT_DIA_AIML_Toolkit.



Developed and maintained by MQ-IDS Data Integration and Analytics.


            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/EliLillyCo/MQIT_DIA_ADFPRO",
    "name": "dia-adfpro",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "",
    "author": "Francesco Gabbanini, Manjunath Bagewadi, Henson Tauro",
    "author_email": "fgabbanini@yahoo.it",
    "download_url": "https://files.pythonhosted.org/packages/4f/c3/92936c4bce47e3740513e190b864023437efeacd6b90ef78da4f4c321087/dia-adfpro-1.6.7.tar.gz",
    "platform": null,
    "description": "# MQIT_DIA_ADFPRO\r\r\nAnomaly Detection for Fast PROcesses (ADFPRO) is a Python application used to implement anomaly detection for \"fast\" processes that can be described by multiple features.\r\r\nFast means processes that are repeated continuously on manufacturing equipments and have a duration of a few seconds.\r\r\n\r\r\nRepository includes 2 modules:\r\r\n1) used from ML frameworks running on the cloud (Domino, SageMaker, AzureML) to trigger model training and classification on datasets having a certain structure;\r\r\n2) used to implement Dash dashboards to visualize results\r\r\n\r\r\nUses code contained in MQIT_DIA_AIML_Toolkit.\r\r\n\r\r\nDeveloped and maintained by MQ-IDS Data Integration and Analytics.\r\r\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "A Python application for anomaly detection",
    "version": "1.6.7",
    "project_urls": {
        "Homepage": "https://github.com/EliLillyCo/MQIT_DIA_ADFPRO"
    },
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "4fc392936c4bce47e3740513e190b864023437efeacd6b90ef78da4f4c321087",
                "md5": "2bbeffd4e3e46d133d64b12a91908856",
                "sha256": "63f5d79ad2f8fe47c3c517855a34758a70d15fb05111d33f8eaffb312c174392"
            },
            "downloads": -1,
            "filename": "dia-adfpro-1.6.7.tar.gz",
            "has_sig": false,
            "md5_digest": "2bbeffd4e3e46d133d64b12a91908856",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 50633,
            "upload_time": "2023-06-30T07:40:16",
            "upload_time_iso_8601": "2023-06-30T07:40:16.643713Z",
            "url": "https://files.pythonhosted.org/packages/4f/c3/92936c4bce47e3740513e190b864023437efeacd6b90ef78da4f4c321087/dia-adfpro-1.6.7.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-06-30 07:40:16",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "EliLillyCo",
    "github_project": "MQIT_DIA_ADFPRO",
    "github_not_found": true,
    "lcname": "dia-adfpro"
}
        
Elapsed time: 0.09112s