Weekly update from Gabbarland

## 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

This issue is a weekly status update rather than an actionable task. Read docs/data.rst, notebooks/workflow.ipynb, metrics.csv, and gabbar/scripts/cli.py to understand the project state; no specific change or completion condition is defined in the issue.

Written by the indexing model from the issue text.