{"id":19414993,"url":"https://github.com/jakeroggenbuck/game-design-scoring","last_synced_at":"2026-06-20T10:31:54.512Z","repository":{"id":103523375,"uuid":"336422367","full_name":"JakeRoggenbuck/game-design-scoring","owner":"JakeRoggenbuck","description":null,"archived":false,"fork":false,"pushed_at":"2024-07-31T06:21:57.000Z","size":16,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-02-25T03:13:23.455Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/JakeRoggenbuck.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":"2021-02-06T00:33:38.000Z","updated_at":"2024-07-31T06:21:55.000Z","dependencies_parsed_at":null,"dependency_job_id":"29ee70a3-12d8-45a6-8c93-b42eed84a784","html_url":"https://github.com/JakeRoggenbuck/game-design-scoring","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/JakeRoggenbuck/game-design-scoring","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JakeRoggenbuck%2Fgame-design-scoring","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JakeRoggenbuck%2Fgame-design-scoring/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JakeRoggenbuck%2Fgame-design-scoring/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JakeRoggenbuck%2Fgame-design-scoring/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/JakeRoggenbuck","download_url":"https://codeload.github.com/JakeRoggenbuck/game-design-scoring/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JakeRoggenbuck%2Fgame-design-scoring/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34566920,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-20T02:00:06.407Z","response_time":98,"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":[],"created_at":"2024-11-10T12:41:13.157Z","updated_at":"2026-06-20T10:31:54.497Z","avatar_url":"https://github.com/JakeRoggenbuck.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"#  Game Design Scoring Regression Model\n\n\n### Data\nThe data that this model used to train is the csv `./point-weighting-combined-new.csv` and was made in a spreedsheet\n\n### Building the model\nRun the script `./generate_model.py` to build the model\n\n### Usage\nTo run the model that you built, this is all the code needed\n\n```py\nfrom tensorflow import keras                                                   \nimport numpy as np                                                             \nimport csv                                                                     \n                                                                               \nfrom generate_model import get_data_Y, get_data_X                              \n                                                                               \n                                                                               \n# Import the model made by ./generate_model.py                                 \nmodel = keras.models.load_model('neural_network.model')                        \n                                                                               \n# Gets the data from the model generator file \"./generate_model.py\"            \nX = get_data_X()                                                               \nY = get_data_Y()                                                               \n                                                                               \n                                                                               \ndef test_each_match():                                                         \n    # Get the result actual win value, and the one predicted by the model      \n    for x, y in zip(X, Y):                                                     \n        # Predicts the Y value from a given X                                  \n        result = model.predict(np.array([x]))                                  \n        # Prints the values in the (actual, predict) format                    \n        print(y[0], result[0][0])                                              \n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjakeroggenbuck%2Fgame-design-scoring","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjakeroggenbuck%2Fgame-design-scoring","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjakeroggenbuck%2Fgame-design-scoring/lists"}