v1

What's Changed

• Data cleaning + train/test split by @ZekeWeng in #1
• Basic logistic regression with problem category by @ZekeWeng in #4
• Added PMF, consolidated data_prep (Future retooling) by @ZekeWeng in #5
• Logistic regression model implemented in PyTorch by @victorhauvi in #6
• Pmf by @ZekeWeng in #7
• PMF @baronet2 by @ZekeWeng in #8
• Validation by @ZekeWeng in #9
• Kfold val by @victorhauvi in #10
• Validation notebook with k-fold validation by @baronet2 in #11
• Clean training by @victorhauvi in #13
• Add Round variable to logistic regressions by @baronet2 in #15
• Set minimum frequency to 10 for problems to get embeddings by @baronet2 in #16
• Add models for d=5,6 by @baronet2 in #18
• added problem type to lr by @victorhauvi in #19
• Add embedding analysis results by @baronet2 in #20
• Scraping heights by @ZekeWeng in #21
• EDA figures by @victorhauvi in #25
• Added figs.py by @ZekeWeng in #24
• Update replication instructions and delete old files by @baronet2 in #26

New Contributors

• @ZekeWeng made their first contribution in #1
• @victorhauvi made their first contribution in #6
• @baronet2 made their first contribution in #11

Full Changelog: https://github.com/baronet2/boulder2vec/commits/v1