/Blog_naics_nn

Investigations of stochastic randomization for entity embeddings in neural network models, including visualizations of embeddings

Primary LanguageJupyter Notebook

Blog_naics_nn

Work for Towards Data Science

Demonstrating random injection of "unseen" encoding values during neural network training using a custom data generator.

Towards Data Science Data Disruptions to Elevate Entity Embeddings

The version of the data for the blog post is saved in the data_disruptions release

Table data is in the top level in the "tables.xlsx" document.

Code is at the top level; notebooks would run in order. Metrics are collected and summarized in 80_perf_summary.ipynb.

Running Code

First, download the SBA Loans Dataset from Kaggle.

Then, change setup.py

  • Make input_path point to the SBA Loans dataset on your system
  • temp_path should point to a writeable directory on your system

For more information on hardware requirements and package installation, see: https://github.com/vla6/Blog_gnn_naics?tab=readme-ov-file#blog_gnn_naics

Towards Data Science Visualizing Stochastic Regularization for Entity Embeddings

See subfolder "_A_embeddings" and its README.md