Julia Silge | Monitoring Model Performance | RStudio
0:00 Project introduction 1:50 Overview of the setup code chunk 3:05 Getting new data 4:05 Getting model from RStudio Connect using httr and jsonlite 6:20 Bringing in metrics 9:45 Using the pins package 10:50 Using boards on RStudio Connect 13:30 Benefits of using pins 14:00 Visualizations using ggplot and plotly 17:00 Knitting the flexdashboard 18:10 Project takeaways
You can read Julia’s blogpost, Model Monitoring with R Markdown, pins, and RStudio Connect, here: https://blog.rstudio.com/2021/04/08/model-monitoring-with-r-markdown/ Modelops playground GitHub repo: https://github.com/juliasilge/modelops-playground pins package documentation: https://pins.rstudio.com/ flexdashboard documentation: https://rmarkdown.rstudio.com/flexdashboard/ tidymodels documentation: https://www.tidymodels.org/
flexdashboard
httr
rmarkdown
rstudio
tidymodels
RStudio
Data Science
Machine Learning
Python
Stats
Tidyverse
Data Visualization
Data Viz
Ggplot
Technology
Coding
Connect
Server Pro
Shiny
RMarkdown
Package Manager
CRAN
Interoperability
Serious Data Science
Dplyr
Forcats
Ggplot2
Tibble
Readr
Stringr
Tidyr
Purrr
Github
Data Wrangling
Tidy Data
Rayshader
Plumber
Blogdown
Gt
Lazy Evaluation
Tidymodels
Statistics
Debugging
Programming Education
RStats
Open Source
OSS
Reticulate
Modelops
Julia Silge
Model Performance
Pins