{"id":23919303,"url":"https://github.com/zhangxjohn/optuna-learn","last_synced_at":"2025-02-23T20:46:11.465Z","repository":{"id":53570250,"uuid":"520470308","full_name":"zhangxjohn/optuna-learn","owner":"zhangxjohn","description":"Tuning hyper-parameters based on Optuna is as easy as using scikit-learn.","archived":false,"fork":false,"pushed_at":"2023-05-16T01:37:33.000Z","size":14,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-05T14:40:57.999Z","etag":null,"topics":["hyperparameter-optimization","mechine-learing","optuna","python"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/zhangxjohn.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":"2022-08-02T11:29:02.000Z","updated_at":"2022-08-03T01:07:45.000Z","dependencies_parsed_at":"2025-01-05T14:49:56.413Z","dependency_job_id":null,"html_url":"https://github.com/zhangxjohn/optuna-learn","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zhangxjohn%2Foptuna-learn","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zhangxjohn%2Foptuna-learn/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zhangxjohn%2Foptuna-learn/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zhangxjohn%2Foptuna-learn/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/zhangxjohn","download_url":"https://codeload.github.com/zhangxjohn/optuna-learn/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240378873,"owners_count":19792039,"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":["hyperparameter-optimization","mechine-learing","optuna","python"],"created_at":"2025-01-05T14:39:48.952Z","updated_at":"2025-02-23T20:46:11.455Z","avatar_url":"https://github.com/zhangxjohn.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# optuna-learn\n\nTuning hyper-parameters based on Optuna is as easy as using scikit-learn.\n\n\n## :hourglass_flowing_sand: Dependencies\n\noptuna-learn requires:\n\n- python \u003e= 3.6\n- scikit-learn \n- optuna \n\n## :rocket: Installation\n\n```bash\npip install optuna-learn\n```\n\n## :zap: Quick Start\n\n```python\nfrom lightgbm import LGBMClassifier\nfrom optlearn.opt import OptunaSearch\nfrom sklearn.datasets import load_iris\nfrom sklearn.metrics import accuracy_score\nfrom sklearn.model_selection import train_test_split\n\nX, y = load_iris(return_X_y=True)\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)\n\nopt = OptunaSearch(\n        model=LGBMClassifier,\n        optimize_direction='maximize',\n        n_trials=100,\n        params_dict={\n            'n_estimators': ['categorical', 100, 200, 300, 500],\n            'reg_alpha': ['float', 0.001, 10, False],\n            'reg_lambda': ['float', 0.001, 100, False],\n            'num_leaves': ['int', 2, 256],\n        }\n)\n\nopt.fit(X_train, y_train)\n\ny_pred = opt.predict(X_test)\n\naccuracy_score(y_test, y_pred)\n\u003e\u003e\u003e 0.9967924528301886\n```","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzhangxjohn%2Foptuna-learn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzhangxjohn%2Foptuna-learn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzhangxjohn%2Foptuna-learn/lists"}