{"id":13737417,"url":"https://github.com/Nikolay-Lysenko/dsawl","last_synced_at":"2025-05-08T13:34:04.006Z","repository":{"id":25209561,"uuid":"102144158","full_name":"Nikolay-Lysenko/dsawl","owner":"Nikolay-Lysenko","description":"A set of tools for machine learning (for the current day, there are active learning utilities and implementations of some stacking-based techniques).","archived":true,"fork":false,"pushed_at":"2023-08-27T13:57:44.000Z","size":199,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-09T20:51:51.555Z","etag":null,"topics":["active-learning","categorical-features","epsilon-greedy","out-of-fold","stacking","target-encoding"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Nikolay-Lysenko.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2017-09-01T18:58:26.000Z","updated_at":"2023-08-27T14:40:33.000Z","dependencies_parsed_at":"2024-01-06T16:03:32.211Z","dependency_job_id":"85e43a3b-09a0-4e8d-b6d0-5f07384ce792","html_url":"https://github.com/Nikolay-Lysenko/dsawl","commit_stats":{"total_commits":177,"total_committers":2,"mean_commits":88.5,"dds":"0.10169491525423724","last_synced_commit":"1bc3cd219d1f9e91cf8e3bf849c94cdd6b58e6f7"},"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Nikolay-Lysenko%2Fdsawl","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Nikolay-Lysenko%2Fdsawl/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Nikolay-Lysenko%2Fdsawl/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Nikolay-Lysenko%2Fdsawl/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Nikolay-Lysenko","download_url":"https://codeload.github.com/Nikolay-Lysenko/dsawl/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253077683,"owners_count":21850367,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["active-learning","categorical-features","epsilon-greedy","out-of-fold","stacking","target-encoding"],"created_at":"2024-08-03T03:01:47.076Z","updated_at":"2025-05-08T13:34:03.994Z","avatar_url":"https://github.com/Nikolay-Lysenko.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"[![Build Status](https://travis-ci.org/Nikolay-Lysenko/dsawl.svg?branch=master)](https://travis-ci.org/Nikolay-Lysenko/dsawl)\n[![codecov](https://codecov.io/gh/Nikolay-Lysenko/dsawl/branch/master/graph/badge.svg)](https://codecov.io/gh/Nikolay-Lysenko/dsawl)\n[![Maintainability](https://api.codeclimate.com/v1/badges/98fc23b8b51fb20f2920/maintainability)](https://codeclimate.com/github/Nikolay-Lysenko/dsawl/maintainability)\n[![PyPI version](https://badge.fury.io/py/dsawl.svg)](https://badge.fury.io/py/dsawl)\n\n# dsawl\n\n## What is it?\n\nThis is a set of tools for machine learning. Provided by the package utilities are described in the below table:\n\nSubject | Description | Docs\n:-----: | :---------: | :--:\nActive Learning | Highly-modular system that recommends which previously unlabelled examples should be labelled in order to increase model quality quickly and significantly. Special features: various options for both exploitation and exploration. | [Read more](https://github.com/Nikolay-Lysenko/dsawl/blob/master/docs/active_learning_demo.ipynb)\nStacking | A method that applies machine learning algorithm to out-of-fold predictions or transformations made by other machine learning models. Special features: support of any `sklearn`-compatible estimators (in particular, pipelines). | [Read more](https://github.com/Nikolay-Lysenko/dsawl/blob/master/docs/stacking_demo.ipynb)\nTarget Encoding | An alternative to one-hot encoding and hashing trick that attempts to have both memory efficiency and incorporation of all useful information from initial features. Special features: `sklearn`-compatible wrapper that can transform data out-of-fold and apply an estimator to the result.| [Read more](https://github.com/Nikolay-Lysenko/dsawl/blob/master/docs/target_encoding_demo.ipynb)\n\nRepository name is a combination of three words: DS, saw, and awl. DS is as an abbreviation for Data Science and the latter two words represent useful tools.\n\n\n## How to install the package?\n\nThe package is compatible with Python 3.5 or newer. A virtual environment where it is guaranteed that the package works can be created based on [the file](https://github.com/Nikolay-Lysenko/dsawl/blob/master/requirements.txt) named `requirements.txt`.\n\nTo install a stable release of the package, run this command:\n```\npip install dsawl\n```\n\nTo install the latest version from sources, execute this from your terminal:\n```\ncd path/to/your/destination\ngit clone https://github.com/Nikolay-Lysenko/dsawl\ncd dsawl\npip install -e .\n```\n\nIf you have any troubles with installation, your questions are welcome. \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FNikolay-Lysenko%2Fdsawl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FNikolay-Lysenko%2Fdsawl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FNikolay-Lysenko%2Fdsawl/lists"}