{"id":20380365,"url":"https://github.com/gagniuc/markov-chains-vb6","last_synced_at":"2026-03-09T05:32:59.132Z","repository":{"id":151549667,"uuid":"424410848","full_name":"Gagniuc/Markov-Chains-VB6","owner":"Gagniuc","description":"Markov Chains in Visual Basic 6.0 (VB6) - These applications use transition matrices to make predictions by using a Markov chain. For exemplification, the values from the transition matrix, in any of the three applications, represent the transition probabilities between two states found in a sequence of observations. ","archived":false,"fork":false,"pushed_at":"2022-11-18T12:08:50.000Z","size":2796,"stargazers_count":5,"open_issues_count":0,"forks_count":2,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-15T07:31:54.300Z","etag":null,"topics":["markov-chain","markov-model","prediction","vb6","weather","weather-forecast"],"latest_commit_sha":null,"homepage":"","language":"Visual Basic 6.0","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/Gagniuc.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":".github/FUNDING.yml","license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null},"funding":{"github":"Gagniuc"}},"created_at":"2021-11-03T23:28:28.000Z","updated_at":"2024-01-17T23:45:43.000Z","dependencies_parsed_at":null,"dependency_job_id":"96e6431f-67bc-41c5-ae57-739ea0a8ef95","html_url":"https://github.com/Gagniuc/Markov-Chains-VB6","commit_stats":{"total_commits":55,"total_committers":2,"mean_commits":27.5,"dds":0.2727272727272727,"last_synced_commit":"dd47749aedb9ca02e6c81d4d31637b1ed170eee9"},"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gagniuc%2FMarkov-Chains-VB6","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gagniuc%2FMarkov-Chains-VB6/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gagniuc%2FMarkov-Chains-VB6/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gagniuc%2FMarkov-Chains-VB6/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Gagniuc","download_url":"https://codeload.github.com/Gagniuc/Markov-Chains-VB6/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241929597,"owners_count":20044005,"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":["markov-chain","markov-model","prediction","vb6","weather","weather-forecast"],"created_at":"2024-11-15T02:07:02.558Z","updated_at":"2026-03-09T05:32:59.083Z","avatar_url":"https://github.com/Gagniuc.png","language":"Visual Basic 6.0","funding_links":["https://github.com/sponsors/Gagniuc"],"categories":[],"sub_categories":[],"readme":"# Markov Chains in VB6\n\nThese applications use transition matrices to make predictions by using a Markov chain. For exemplification, the values from the transition matrix, in any of the three applications, represent the transition probabilities between two states found in a sequence of observations (ex. \u003ci\u003es\u003c/i\u003e=\u003ckbd\u003eSRSRSSRRRSRRSRRRS\u003c/kbd\u003e). These two states are: Sunny and Rainy, or \u003ckbd\u003eR\u003c/kbd\u003e and \u003ckbd\u003eS\u003c/kbd\u003e. Based on the initial probability vector, the application calculates how the weather may be on a number of days. More in-depth information on these matters can be found in the \u003ca href=\"https://www.wiley.com/en-us/Markov+Chains%3A+From+Theory+to+Implementation+and+Experimentation-p-9781119387589\"\u003eprimary source\u003c/a\u003e.\n\n# Screenshot\n\n![screenshot](https://github.com/Gagniuc/Markov-Chains-VB6/blob/main/img/Markov%20Chains%20VB6%20(1).PNG)\n\n![screenshot](https://github.com/Gagniuc/Markov-Chains-VB6/blob/main/img/Markov%20Chains%20VB6%20(2).PNG)\n\n![screenshot](https://github.com/Gagniuc/Markov-Chains-VB6/blob/main/img/Markov%20Chains%20VB6%20(3).PNG)\n\n# References\n\n- \u003ci\u003ePaul A. Gagniuc. Markov chains: from theory to implementation and experimentation. Hoboken, NJ,  John Wiley \u0026 Sons, USA, 2017, ISBN: 978-1-119-38755-8.\u003c/i\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgagniuc%2Fmarkov-chains-vb6","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgagniuc%2Fmarkov-chains-vb6","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgagniuc%2Fmarkov-chains-vb6/lists"}