Skip to content

Instantly share code, notes, and snippets.

Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.

Keybase proof

I hereby claim:

  • I am calvinmccarter on github.
  • I am calvinm (https://keybase.io/calvinm) on keybase.
  • I have a public key ASD-RPoYtblA-GAI290ob6aspmx8D7O5Dj0jO9b1tkdmjAo

To claim this, I am signing this object:

@calvinmccarter
calvinmccarter / softmax-visualize.ipynb
Created December 4, 2022 21:11
softmax visualization
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
@calvinmccarter
calvinmccarter / bladderbatch-tabpfn.ipynb
Created November 26, 2023 22:10
bladderbatch-tabpfn.ipynb
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
@calvinmccarter
calvinmccarter / miceforest.ipynb
Created August 29, 2024 00:13
MICE-Forest vs UnmaskingTrees
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
@calvinmccarter
calvinmccarter / top_p_sampling.py
Created August 31, 2024 20:43
Cleaner version of top-p (nucleus) sampling
import numpy as np
def top_p_sampling(n_bins, probs, rng, top_p):
"""A modified implementation of nucleus sampling.
For the class straddling the top_p boundary, the probability mass beyond top_p is discarded.
But this class does not receive zero probability mass, so it differs
from https://gist.github.com/thomwolf/1a5a29f6962089e871b94cbd09daf317 .
This is more mathematically elegant, in my humble opinion.
Parameters
@calvinmccarter
calvinmccarter / diversity-vs-inferential-performance.ipynb
Created September 2, 2024 15:29
Imputation diversity vs inferential performance
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
@calvinmccarter
calvinmccarter / m5-ppc-notebook.ipynb
Created September 24, 2024 16:55
m5 replication
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
@calvinmccarter
calvinmccarter / m5-ppc-notebook-replicate-treeffuser-notuning.ipynb
Created September 27, 2024 22:13
reproducing Treeffuser m5 no tuning
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
@calvinmccarter
calvinmccarter / iris&wine-only results
Last active February 14, 2025 15:58
tabular imputation flow
\begin{table}[ht]
\centering
\begin{tabular}{rlllllllll}
\hline
& MinMAE & AvgMAE & W\_train & W\_test & MedianMAD & R2\_imp & F1\_imp & PercentBias & CoverageRate \\
\hline
KNN & 0.16 (0.03) & 0.16 (0.03) & 0.42 (0.08) & 1.89 (0.49) & 0 (0) & 0.59 (0.09) & 0.75 (0.04) & 1.27 (0.25) & 0.4 (0.11) \\
ICE & 0.1 (0.01) & 0.21 (0.03) & 0.52 (0.09) & 1.99 (0.49) & 0.69 (0.1) & 0.59 (0.09) & 0.74 (0.04) & 1.05 (0.29) & 0.39 (0.09) \\
MICE-Forest & 0.08 (0.02) & 0.13 (0.03) & 0.34 (0.07) & 1.86 (0.48) & 0.29 (0.08) & 0.61 (0.1) & 0.76 (0.04) & 0.61 (0.2) & 0.75 (0.11) \\
MissForest & 0.1 (0.03) & 0.12 (0.03) & 0.32 (0.07) & 1.85 (0.48) & 0.1 (0.03) & 0.61 (0.1) & 0.76 (0.04) & 0.62 (0.22) & 0.79 (0.08) \\