ngiangre / mccvshiny

Interactive app for exploring predictions from the {mccv} package using Shiny for Python

mccvshiny

Interactive App for exploring Monte Carlo Cross Validation predictions from the {mccv} package using Shiny for Python

Objective

1. Showcase the MCCV algorithm. More details on the algorithm and use cases at nickg.mccv.bio

2. Provide an online tool for

   A. Setting and generating univariate prior distributions based on randomly distributed data.

   B. Generating MCCV prediction results based on specified univariate data distributions.

   C. Visualizing MCCV prediction results.

3. Opportunity for Nick to learn Shiny for Python

Components or Modules

1. Generate Data

2. Parameterize MCCV Algorithm

3. Run MCCV Algorithm

4. Display MCCV Results

Screenshot of site

Notes

• Following https://shiny.posit.co/py/docs/comp-r-shiny.html and https://shiny.posit.co/py/docs/install.html closely to get started