Commandline tools for training Fathom rulesets
Project description
This is the commandline trainer for Fathom, which itself is a supervised-learning system for recognizing parts of web pages. It also includes other commandline tools for ruleset development, like fathom-unzip, fathom-pick, and fathom-list. See docs for the trainer here.
Version History
- 3.1
Add fathom-list tool.
Further optimize trainer: about 17x faster for a 60-sample corpus, with superlinear improvements for larger ones.
- 3.0
Move to Fathom repo.
Add fathom-unzip and fathom-pick.
Switch to the Adam optimizer, which is significantly more turn-key, to the point where it doesn’t need its learning-rate decay set manually.
Tolerate pages for which no candidate nodes were collected.
Add 95% CI for per-page training accuracy.
Add validation-guided early stopping.
Revise per-page accuracy calculation and display.
Shuffle training samples before training.
Add false-positive and false-negative numbers to per-tag metrics.
- 3.0a1
First release, intended for use with Fathom itself 3.0 or later
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