{ "info": { "author": "George Oblapenko", "author_email": "kunstmord@kunstmord.com", "bugtrack_url": null, "classifiers": [], "description": "=============\nmldatalib\n=============\n\nmldatalib (Machine Learning Data Library) provides a Python library which simplifies processing and extracting features\n(for machine learning) from files.\nStores features in a SQLite database, has label transformation options, functions which convert features to NumPy arrays,\netc.\nOriginal idea and feature list by Viktor Evstratov (viktor.evst@gmail.com).\nOriginally designed for use with the Galaxy Zoo challenge on Kaggle.\nRequires numpy and SQLAlchemy.\n\n=============\nWhy?\n=============\n\nThis is an attempt to minimize the amount of effort needed to extract, save and retrieve new features and allow\na user to spend more time on more 'scientific' work. If several users are working on the same project,\nthey can each extract independent sets of features and then share the database files and copy the features they are\nmissing.\n\n=============\nFunctionality\n=============\n\nBasic functionality includes:\nExtracting features and storing them in a database (the user provides the extractor function), retrieving features\nby name, extracting and transforming labels from a file and storing them in a database, copying features\nfrom one database to another, returning features as a numpy array.\n\n=============\nRoadmap\n=============\n\nAdd a pure SQL way of storing and retrieving features (by converting them to JSON format and creating columns via ALTER\nTABLE statements), thus allowing easy use from other languages. At least add this functionality for numpy arrays\nand lists.\n\nAdd a dataset class for CSV files (where all data is stored in a single CSV file).", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/Kunstmord/datalib", "keywords": null, "license": "GPL", "maintainer": null, "maintainer_email": null, "name": "mldatalib", "package_url": "https://pypi.org/project/mldatalib/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/mldatalib/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/Kunstmord/datalib" }, "release_url": "https://pypi.org/project/mldatalib/0.2.1/", "requires_dist": null, "requires_python": null, "summary": "Library for data analysis - extracting, storing and retrieving features", "version": "0.2.1" }, "last_serial": 1043602, "releases": { "0.1": [ { "comment_text": "", "digests": { "md5": 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