{"id":23331134,"url":"https://github.com/sassoftware/sas-viya-forecasting","last_synced_at":"2026-01-21T01:01:59.537Z","repository":{"id":66179987,"uuid":"118072111","full_name":"sassoftware/sas-viya-forecasting","owner":"sassoftware","description":"Code examples and data for forecasting using the SAS Viya platform.","archived":false,"fork":false,"pushed_at":"2024-10-22T17:14:21.000Z","size":3325,"stargazers_count":7,"open_issues_count":0,"forks_count":6,"subscribers_count":11,"default_branch":"master","last_synced_at":"2025-04-07T10:47:47.707Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"SAS","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/sassoftware.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":"SUPPORT.md","governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-01-19T03:32:50.000Z","updated_at":"2025-01-30T13:42:21.000Z","dependencies_parsed_at":"2024-10-22T17:28:40.462Z","dependency_job_id":null,"html_url":"https://github.com/sassoftware/sas-viya-forecasting","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/sassoftware/sas-viya-forecasting","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sassoftware%2Fsas-viya-forecasting","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sassoftware%2Fsas-viya-forecasting/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sassoftware%2Fsas-viya-forecasting/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sassoftware%2Fsas-viya-forecasting/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sassoftware","download_url":"https://codeload.github.com/sassoftware/sas-viya-forecasting/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sassoftware%2Fsas-viya-forecasting/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28620572,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-20T23:49:58.628Z","status":"ssl_error","status_checked_at":"2026-01-20T23:47:29.996Z","response_time":117,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":"2024-12-20T22:31:15.489Z","updated_at":"2026-01-21T01:01:59.425Z","avatar_url":"https://github.com/sassoftware.png","language":"SAS","funding_links":[],"categories":[],"sub_categories":[],"readme":"# SAS Viya® Forecasting\n\n## Overview\nThis project contains code examples and supporting material for forecasting techniques using the SAS Viya® platform.\n\n## Installation\n\n### Getting started\nThe SAS Viya Forecasting repository contains several key folders:\n\n1. **data**: Contains example datasets used in forecasting demonstrations.\n2. **EventTables**: Contains event tables, such as country-specific holidays and other important dates.\n3. **Forecasting-Cookbook**: Includes new SAS Viya Forecasting procedures and object packages using the examples in the online book.\n4. **RnnAutoTuneBlogExamples**: Contains code examples that can be run within the SAS Viya environment for RNN Autotune mentioned in the SAS blog.\n\nThese folders support users in exploring forecasting techniques using the SAS Viya platform. More details are available on the [GitHub page](https://github.com/sassoftware/sas-viya-forecasting).\n\n## License\nThis project is licensed under the [Apache 2.0 License](LICENSE).\n\n## Contributing\nMaintainers are accepting patches and contributions to this project.\nPlease read [CONTRIBUTING.md](CONTRIBUTING.md) for details on submitting contributions to this project.\n\n## Additional resources\n\n* [SAS Viya Forecasting Cookbook](https://blogs.sas.com/content/forecasting/2020/06/26/sas-viya-forecasting-cookbook/)\n* [SAS Viya Forecast Cookbook (GitHub)](https://github.com/RayanPoudyal/SAS-Viya-Forecast-Cookbook/tree/master)\n* [How to Develop Better Forecasts With SAS® Visual Forecasting Q\u0026A, Slides, and On-Demand Recording](https://communities.sas.com/t5/Ask-the-Expert/How-to-Develop-Better-Forecasts-With-SAS-Visual-Forecasting-Q/ta-p/913616)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsassoftware%2Fsas-viya-forecasting","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsassoftware%2Fsas-viya-forecasting","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsassoftware%2Fsas-viya-forecasting/lists"}