This message, related to the development of the theme, only displays on the localhost homepage to notify you of any important theme changes.


Version 1.1.0 - May 18, 2020

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:

  1. Add the following to your config.toml before [params]:
...
disableLanguages = [""]

[outputs]
    home = ["html", "json"]

[params]
...
  1. Remove the underscore from all about and contact page file names: _index.md --> index.md

  2. 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.

David Neuzerling

David Neuzerling

Data, Maths, R

Animal Crossing: New Horizons kept me sane throughout the first Melbourne COVID lockdown. Now, in lockdown 4, it seems right that I should look back at this cheerful, relaxing game and do some data stuff. I’m going to take the Animal Crossing villagers in the Tidy Tuesday Animal Crossing dataset and combine it with survey data from the Animal Crossing Portal, giving each villager a measure of popularity. I’ll use the Google Cloud Vision API to annotate each of the villager…

I have a simple machine learning workflow that I recreate whenever I’m testing something new. I take some interesting data and a target, throw in some pre-processing, tune hyperparameters with cross-validation, and train a random forest. It’s all the basic ingredients for a machine learning model. Since I like Julia so much, I’ll recreate my simple machine learning workflow with Julia’s MLJ package.

I have a machine learning model that takes some time to train. Data pre-processing and model fitting can take 15–20 minutes. That’s not so bad, but I also want to tune my model to make sure I’m using the best hyper-parameters. With 16 different combinations of hyperparameters and 5-fold cross-validation, my 20 minutes can become a day or more.

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