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---
title: "6 - Describing and reporting a model"
output: rmarkdown::html_vignette
vignette: >
%\VignetteIndexEntry{6 - Describing a model}
%\VignetteEngine{knitr::rmarkdown}
%\VignetteEncoding{UTF-8}
---
```{r setup, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
```
## Introduction
This section is in progress. _bllflow_ has several helper functions, tables and
plots to help describe and deploy predictive models, including exporting models in two formats:
- Predictive Modelling Markup Language (PMML)
- CSV files that correspond to the study data DDI file and Model Specification Workbook.
See the follow examples of how `bllflow` is used to report predictive models.
1) [Algorithm viewer](http://algorithm-viewer.projectbiglife.ca/#/)
1) [Model description](https://docs.projectbiglife.ca)
1) [Model description as PMML file](https://github.com/Ottawa-mHealth/predictive-algorithms)
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