
Machine learning models get stuck at the deployment stage all the time. This stuff is hard.
This message, related to the development of the theme, only displays on the
localhost
homepage to notify you of any important theme changes.
With this version, the theme has fully implemented static search using
lunr.js
. That being said, a few modifications were necessary to implement this
feature.
To utilize this, or future version of Hugo Future Imperfect Slim, please make the following changes:
config.toml
before [params]
:...
disableLanguages = [""]
[outputs]
home = ["html", "json"]
[params]
...
Remove the underscore from all about
and contact
page file names:
_index.md --> index.md
Add layout = "about"
or layout = "contact"
to all of the files you just
just adjusted the file names for.
While I realize this is inconvenient, I hope that it is worth it to you in the long run. Thanks for using the theme, and feel free to submit issues as needed.
Data, Maths, R
Machine learning models get stuck at the deployment stage all the time. This stuff is hard.
Drake is my new favourite R package.
I’m creating an R API wrapper around my state’s public transport service. To make life easier for the users, the responses from the API calls are parsed and returned as tibbles/data frames. To make life easier for me, I need to keep track of the API call behind each tibble. I do this by using the tibble::new_tibble()
function to attach metadata to the tibble as attributes, and creating a custom print
method to make the metadata visible.
The last few weeks have been all about R package development for me. First I was exploring GitHub actions with the lovely people at the rOpenSci OzUnconf, and then I was off to San Francisco to learn about Building Tidy Tools with the Wickham siblings. I’ve picked up a lot about package development, so I’m documenting some of trickier things that I’ve learnt.
There’s a concept in R of an analysis as a package, in which everything you need for your data analysis is contained within a custom package. When you install the package and build the vignettes, the data analysis is performed and results saved as a pretty HTML or PDF file, generated with R Markdown. I wanted to extend this concept to a machine learning model as a package.