{"id":24625502,"url":"https://github.com/rayvilaca/vanilla-knn","last_synced_at":"2025-03-19T17:19:05.365Z","repository":{"id":219181068,"uuid":"748392296","full_name":"RayVilaca/vanilla-knn","owner":"RayVilaca","description":"A simple implementation of the k-nearest neighbors (KNN) algorithm without using external libraries.","archived":false,"fork":false,"pushed_at":"2024-01-25T23:33:56.000Z","size":16,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-04-26T13:00:33.778Z","etag":null,"topics":["euclidean-distances","knn-algorithm","knn-classification","knn-classifier","no-libraries","python"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/RayVilaca.png","metadata":{"files":{"readme":"README-en.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2024-01-25T21:45:31.000Z","updated_at":"2024-01-25T23:01:05.000Z","dependencies_parsed_at":"2025-01-25T04:39:07.370Z","dependency_job_id":"9fab37c8-c1ba-43fb-b9c2-2678dbdea17f","html_url":"https://github.com/RayVilaca/vanilla-knn","commit_stats":null,"previous_names":["rayvilaca/vanilla-knn"],"tags_count":2,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RayVilaca%2Fvanilla-knn","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RayVilaca%2Fvanilla-knn/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RayVilaca%2Fvanilla-knn/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RayVilaca%2Fvanilla-knn/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/RayVilaca","download_url":"https://codeload.github.com/RayVilaca/vanilla-knn/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244470288,"owners_count":20457911,"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":["euclidean-distances","knn-algorithm","knn-classification","knn-classifier","no-libraries","python"],"created_at":"2025-01-25T04:39:05.071Z","updated_at":"2025-03-19T17:19:05.361Z","avatar_url":"https://github.com/RayVilaca.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# vanilla-knn\n\n[![PyPI version](https://badge.fury.io/py/vanilla-knn.svg)](https://badge.fury.io/py/vanilla-knn)\n\nA simple implementation of the k-nearest neighbors (KNN) algorithm without using external libraries.\n\n## Installation\n\nYou can install `vanilla-knn` using pip:\n\n```bash\npip install vanilla-knn\n```\n\n## Usage\n\n```bash\nfrom vanilla_knn.knn import k_neighbors_classifier\n\n# Create a KNN model\nmodelo = k_neighbors_classifier(n_neighbors=3)\n\n# Train the model\nX_train = [...]  # Your training data\ny_train = [...]  # Your training labels\nmodelo.fit(X_train, y_train)\n\n# Make predictions\nX_test = [...]  # Your test data\ny_pred = modelo.predict(X_test)\n\n# Print the predictions\nprint(\"Previsões:\", y_pred)\n```\n\n## Contributions\n\nIf you want to contribute to the development of this project, feel free to send pull requests or report issues.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frayvilaca%2Fvanilla-knn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frayvilaca%2Fvanilla-knn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frayvilaca%2Fvanilla-knn/lists"}