alex hayes

Reference: https://jeremykun.com/2016/02/08/big-dimensions-and-what-you-can-do-about-it/

Just wanted to comment that for unsupervised methods there is often both a forward and a backward transformation. Less so with clustering, but for many PCA-like tools. I previously brought...

On a related note, I would like to request calibration curves, as in, for example, https://scikit-learn.org/stable/auto_examples/calibration/plot_compare_calibration.html#sphx-glr-auto-examples-calibration-plot-compare-calibration-py

I believe there's a version of t-SNE that can handle new samples called parametric t-SNE (https://lvdmaaten.github.io/publications/papers/AISTATS_2009.pdf), but I'm not sure how strong the relationship is to normal t-SNE.

Generally this will be useful to anybody following the current tidyverse recommendations to keep observation names in a column rather than in `rownames()`.

I was thinking that the formula method would really be more a convenient way to subset than anything, and you'd still use `model.matrix()` to turn the dataframe into a matrix,...

Hmmm. Following now. Yeah, not sure how to deal with this.

So my thoughts on this are basically that you have a dataframe and that the rows represent observations and the columns represented covariates. Almost always, more data is better. That...

I also gave up on `type = "dynamic_path"` after 2 or so minutes of rendering.

```r devtools::session_info() Session info -------------------------------------------------------------------------- setting value version R version 3.5.0 (2018-04-23) system x86_64, mingw32 ui RStudio (1.2.999) language (EN) collate English_United States.1252 tz America/Chicago date 2018-10-11 Packages ------------------------------------------------------------------------------ package...