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Guarding OpenStreetMap from harmful edits using machine learning

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Bumps [eslint](https://github.com/eslint/eslint) from 3.19.0 to 6.5.1. Release notes *Sourced from [eslint's releases](https://github.com/eslint/eslint/releases).* > ## v6.5.1 > * [`0d3d7d9`](https://github.com/eslint/eslint/commit/0d3d7d9cdd83a7f0e035c95f716a91b9ecc4868b) Docs: fix typo in no-magic-numbers ([#12345](https://github-redirect.dependabot.com/eslint/eslint/issues/12345)) (Josiah Rooney) > * [`447ac87`](https://github.com/eslint/eslint/commit/447ac877e8ca2858d61b1e983f72d39e3e2ca74d) Fix:...

dependencies

Per https://github.com/mapbox/gabbar/community

Closes: https://github.com/mapbox/gabbar/issues/92

Per chat with @jcsg, I briefly tried the `LocalOutlierFactor` model. Posting early, will spend some more time for a detailed analysis of both the model and the results. Per https://stackoverflow.com/a/36869611/3453958...

Changeset comments can be super interesting! Can a model be trained to learn what changeset comments of 👍 changesets and 👎 changesets look like? - https://osmcha.mapbox.com/47469915/ > minor edits /...

Ref: https://github.com/mapbox/gabbar/issues/80 and https://github.com/mapbox/gabbar/issues/69 ![tumblr_inline_o6kjvapgbs1ta78fg_540](https://user-images.githubusercontent.com/2899501/27854858-f5425958-6185-11e7-88c3-c82b7617ce75.jpg) We all know labelled data is gold in machine learning land. But, in the context of OpenStreetMap and osmcha, there are two things: ## 1....

One of the popular problems in machine learning is [dogs vs cats](https://www.kaggle.com/c/dogs-vs-cats-redux-kernels-edition); given a picture predict whether the picture is of a dog or a cat. Coming from this initial...

Ref: https://github.com/mapbox/gabbar/issues/69 and https://github.com/mapbox/gabbar/issues/80 I prepared a random sample of highway features touched to manually 👀 for identifying good and harmful highways. We then use this knowledge to make the...

Per text with @batpad, ## Changeset comment has `revert` There are a total of `13,125` changesets on osmcha with **`revert`** in the changeset comment. Interestingly, `2,505` (20%) changesets are one...