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Interactive ML/AI web application implemented via Dash. This app allows the end user to modify parameters for a vector valued function of the logarithmic spiral as well as adjust parameters for an on-the-fly supervised trained Support Vector Machine for Regression (SVR) model. Demonstrates the advantage of leveraging Docker for data science deve…

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bmurders2/Interactive-Vector-Valued-Function-App

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Interactive-Vector-Valued-Function-App

Interactive demo web app featuring an on-the-fly supervised trained support vector machine for regression of a vector valued function. The web app is created via the Dash ML framework.

The primary purpose is to demonstrate the advantage of leveraging Docker for data science development without installing multiple software tools and frameworks, develop in consistently reproducible environments, as well as effectively developing with a simulated "production"-like environment with natural agile and CI/CD practices.

To run and interact with this example, use the docker-compose UP command on the docker-compose.yml file. The web app should automatically run after all the commands are executed within the Docker-Compose file.

Dash/Plotly: https://plotly.com/

App Screenshot: app-ex-img-1

Example Plot Screenshot: app-plot-ex-img-1

Example Plot Screenshot: app-plot-ex-img-2

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Interactive ML/AI web application implemented via Dash. This app allows the end user to modify parameters for a vector valued function of the logarithmic spiral as well as adjust parameters for an on-the-fly supervised trained Support Vector Machine for Regression (SVR) model. Demonstrates the advantage of leveraging Docker for data science deve…

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