Weekly update from Gabbarland

[bkowshik]

17th Apr - 23rd Apr, 2017

Datasets for training and testing the model are now on S3.

• Labelled/unlabelled changesets from osmcha.
• Geojson version of changesets from real-changesets.
• User details from osm-comments user api.
• Datasets documentation: https://github.com/mapbox/gabbar/blob/master/docs/data.rst

Workflow

• Model training and testing is done in one Jupyter notebook.
• https://github.com/mapbox/gabbar/blob/master/notebooks/workflow.ipynb

Command line API

• Package is now wired up to take a changeset ID and output predictions.
• python gabbar/scripts/cli.py --changeset 47734592

Model performance metrics

• Performance on both labelled and unlabelled changesets is tracked in metrics.csv
• https://github.com/mapbox/gabbar/blob/master/metrics.csv
• We have a work in progrss PR with a hit rate around 30%

NOTE: This is our very first weekly update! 🎉

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cc: @anandthakker @geohacker @batpad