{"id":16992421,"url":"https://github.com/niklasvonm/ensemblelearning","last_synced_at":"2025-03-22T04:43:58.865Z","repository":{"id":158954773,"uuid":"625463960","full_name":"NiklasvonM/EnsembleLearning","owner":"NiklasvonM","description":"Python package for optimal aggregation of bagged ensemble models","archived":false,"fork":false,"pushed_at":"2024-02-15T22:08:49.000Z","size":80,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-27T05:48:17.382Z","etag":null,"topics":["ensemble-model","machine-learning"],"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/NiklasvonM.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,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-04-09T07:23:54.000Z","updated_at":"2024-09-15T17:22:31.000Z","dependencies_parsed_at":"2024-02-15T22:43:22.188Z","dependency_job_id":null,"html_url":"https://github.com/NiklasvonM/EnsembleLearning","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NiklasvonM%2FEnsembleLearning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NiklasvonM%2FEnsembleLearning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NiklasvonM%2FEnsembleLearning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NiklasvonM%2FEnsembleLearning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/NiklasvonM","download_url":"https://codeload.github.com/NiklasvonM/EnsembleLearning/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244907378,"owners_count":20529851,"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":["ensemble-model","machine-learning"],"created_at":"2024-10-14T03:29:07.150Z","updated_at":"2025-03-22T04:43:58.846Z","avatar_url":"https://github.com/NiklasvonM.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![Mypy](https://github.com/NiklasvonM/EnsembleLearning/actions/workflows/mypy.yml/badge.svg)](https://github.com/NiklasvonM/EnsembleLearning/actions/workflows/mypy.yml)\n[![Ruff](https://github.com/NiklasvonM/EnsembleLearning/actions/workflows/ruff.yml/badge.svg)](https://github.com/NiklasvonM/EnsembleLearning/actions/workflows/ruff.yml)\n[![Tests](https://github.com/NiklasvonM/EnsembleLearning/actions/workflows/tests.yml/badge.svg)](https://github.com/NiklasvonM/EnsembleLearning/actions/workflows/tests.yml)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](https://makeapullrequest.com)\n\n# EnsembleLearning\n\n## Usage\n\n```python\nfrom ensemble_learning.local_weights import local_weights\n\npredictions = [1, 3, 5, 7, 9]\ntarget = 5\n\nweights = local_weights(predictions, target)\nprint(\"Weights:\", weights)\n```\n\n## Examples\n\nThere is an example demonstrating how to use the module with time series forecasting models, such as ARIMA, Exponential Smoothing, and Prophet. To run the example, you need to install additional dependencies:\n\n```bash\npip install ensemble-learning[examples]\npython examples/time_series_local_weights.py\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fniklasvonm%2Fensemblelearning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fniklasvonm%2Fensemblelearning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fniklasvonm%2Fensemblelearning/lists"}