{"id":18419640,"url":"https://github.com/teradata/modelops-demo-models","last_synced_at":"2025-04-05T07:01:45.633Z","repository":{"id":47304209,"uuid":"506763689","full_name":"Teradata/modelops-demo-models","owner":"Teradata","description":"Teradata ModelOps Demo Models","archived":false,"fork":false,"pushed_at":"2024-11-15T10:22:14.000Z","size":2181,"stargazers_count":7,"open_issues_count":1,"forks_count":47,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-03-29T06:01:36.825Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"bsd-3-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Teradata.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","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":"2022-06-23T19:18:18.000Z","updated_at":"2024-11-15T10:21:50.000Z","dependencies_parsed_at":"2024-12-16T05:06:03.021Z","dependency_job_id":"bdad2b28-f9e1-4f90-9824-acc39eb3cdcc","html_url":"https://github.com/Teradata/modelops-demo-models","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Teradata%2Fmodelops-demo-models","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Teradata%2Fmodelops-demo-models/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Teradata%2Fmodelops-demo-models/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Teradata%2Fmodelops-demo-models/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Teradata","download_url":"https://codeload.github.com/Teradata/modelops-demo-models/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246816460,"owners_count":20838653,"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":[],"created_at":"2024-11-06T04:17:42.920Z","updated_at":"2025-04-05T07:01:45.596Z","avatar_url":"https://github.com/Teradata.png","language":"Jupyter Notebook","readme":"\n\n# Models\n\nThis repository contains the example Diabetes Prediction model code for [Vantage ModelOps](https://docs.teradata.com/r/Teradata-VantageTM-ModelOps-User-Guide/June-2022). We provide a number of demo projects and associated repositories. The goal of these examples is to provide a simple reference implementation for users and not to provide a detailed data science example for each use case. \n\nPlease refer to the [Official Documentation](https://docs.teradata.com/r/Teradata-VantageTM-ModelOps-User-Guide/June-2022) for more information.\n\n## Available Models\n\nThe example use case we deal with in this demo project is diabetes prediction. More specifically, we use the [PIMA diabetes](http://nrvis.com/data/mldata/pima-indians-diabetes.csv) dataset and build a classification model to predict the likelihood that a given patient has diabetes based on certain medical features.\n\n####  Git\n\n`Git` models are those models where we manage all the code for training evaluation and scoring. We provide examples in both Python and R and we provide notebooks for the Python example.\n\n- [In-database Model Prediction](model_definitions/pima_python_indb_xgboost)\n- [Python Diabetes Prediction](model_definitions/python-diabetes)\n- [R Diabetes Prediction](model_definitions/r-diabetes)\n\n#### BYOM\n\n`BYOM` is related to [Teradata BYOM](https://docs.teradata.com/r/Teradata-VantageTM-Bring-Your-Own-Model-User-Guide/May-2022/Bring-Your-Own-Model) where we use an open model format such as `PMML` or `ONNX`. In this example, we provide a notebook to produce the `PMML` model artefact along with examples for how to query it dynamically in Teradata. \n\n- [Diabetes Prediction](byom/pima)\n\n#### STO\n\n`STO` allow us to train, evaluate and score micro models (individual models per data partition in Teradata). We provide notebooks for the Python STO example.\n\n- [Diabetes Prediction](model_definitions/STO)\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fteradata%2Fmodelops-demo-models","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fteradata%2Fmodelops-demo-models","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fteradata%2Fmodelops-demo-models/lists"}