{"id":34024512,"url":"https://github.com/tonystark-edith/dynamic-learning-technique","last_synced_at":"2026-04-03T08:37:54.793Z","repository":{"id":57448313,"uuid":"474622332","full_name":"TONYSTARK-EDITH/Dynamic-Learning-Technique","owner":"TONYSTARK-EDITH","description":null,"archived":false,"fork":false,"pushed_at":"2022-07-10T09:44:40.000Z","size":76,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-12-14T09:19:47.090Z","etag":null,"topics":["dlt","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/TONYSTARK-EDITH.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}},"created_at":"2022-03-27T11:51:22.000Z","updated_at":"2022-05-09T18:05:37.000Z","dependencies_parsed_at":"2022-09-18T12:30:33.283Z","dependency_job_id":null,"html_url":"https://github.com/TONYSTARK-EDITH/Dynamic-Learning-Technique","commit_stats":null,"previous_names":[],"tags_count":6,"template":false,"template_full_name":null,"purl":"pkg:github/TONYSTARK-EDITH/Dynamic-Learning-Technique","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TONYSTARK-EDITH%2FDynamic-Learning-Technique","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TONYSTARK-EDITH%2FDynamic-Learning-Technique/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TONYSTARK-EDITH%2FDynamic-Learning-Technique/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TONYSTARK-EDITH%2FDynamic-Learning-Technique/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/TONYSTARK-EDITH","download_url":"https://codeload.github.com/TONYSTARK-EDITH/Dynamic-Learning-Technique/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TONYSTARK-EDITH%2FDynamic-Learning-Technique/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":27708880,"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","status":"online","status_checked_at":"2025-12-13T02:00:09.769Z","response_time":147,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["dlt","machine-learning"],"created_at":"2025-12-13T16:23:12.545Z","updated_at":"2025-12-13T16:23:17.856Z","avatar_url":"https://github.com/TONYSTARK-EDITH.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Dynamic Learning Technique\n\nDynamic learning technique allows the user to train a model in batch wise manner\n\n## Installation\n\nUse the package manager [pip](https://pip.pypa.io/en/stable/) to install Exchange Rate Api\n\n```bash\npip install Dynamic-Learning-Technique\n```\n\n## Usage\n\nThe DLT takes 2 argument with 6 optional arguments\n\n```python\n# Initialize an object to DLT\nfrom DLT import *\nfrom sklearn.tree import DecisionTreeRegressor\nimport asyncio\n\n\nasync def main():\n    obj = DLT(['X dataset'], ['Y dataset'], DecisionTreeRegressor())\n    await obj.start()\n\n\nif __name__ == \"__main__\":\n    asyncio.run(main())\n```\n\n## Features\n\n- ## **Algorithms Supported**\n  New supported algorithms has been included\n    - RandomForestClassifier\n    - DecisionTreeClassifier\n    - SVC\n    - RandomForestRegressor\n    - DecisionTreeRegressor\n    - LinearRegression\n    - LogisticRegression\n    - SVR\n    - Ridge\n    - Lasso\n\n- ## **Exception**\n  New exceptions has been included\n    - NoArgumentException\n    - InvalidMachineLearningModel\n    - InvalidDatasetProvided\n    - BatchCountGreaterThanBatchSize\n\n\n- ## **Parallel Processing**\n    - The splitting process has been made an asynchronous process in order to increase the speed of the splitting\n      process\n\nTest cases has been included\n\n## Contributing\n\nPull requests are welcome. 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