light_bulb
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czhu12
💡Light Bulb is a tool to help you label, train, test and deploy machine learning models without any coding.
Bumps [websocket-extensions](https://github.com/faye/websocket-extensions-node) from 0.1.3 to 0.1.4. Changelog Sourced from websocket-extensions's changelog. 0.1.4 / 2020-06-02 Remove a ReDoS vulnerability in the header parser (CVE-2020-7662, reported by Robert McLaughlin) Change license from...
![dependabot[bot] avatar](https://avatars.githubusercontent.com/in/29110?v=4 "dependabot[bot] avatar"){kind=avatar}
Bumps [lodash.template](https://github.com/lodash/lodash) from 4.4.0 to 4.5.0. Commits - [`ab73503`](https://github.com/lodash/lodash/commit/ab73503859a2d2f7f603bc8a293ce93ecc071e83) Bump to v4.5.0. - [`a4f7d4c`](https://github.com/lodash/lodash/commit/a4f7d4cc2a3b6d3a43f6c27beadbf90410eecdcd) Rebuild lodash and docs. - [`cca5ac6`](https://github.com/lodash/lodash/commit/cca5ac60d61a2f786eeafadb674d6e12fc6179c8) Fix npm-test by removing the call to test-docs. - [`9f7f9fc`](https://github.com/lodash/lodash/commit/9f7f9fc3c5f1a4db9a2134950872440c792ee8bb)...
Bumps [extend](https://github.com/justmoon/node-extend) from 3.0.1 to 3.0.2. Changelog *Sourced from [extend's changelog](https://github.com/justmoon/node-extend/blob/master/CHANGELOG.md).* > 3.0.2 / 2018-07-19 > ================== > * [Fix] Prevent merging `__proto__` property ([#48](https://github-redirect.dependabot.com/justmoon/node-extend/issues/48)) > * [Dev Deps] update...
Bumps [mixin-deep](https://github.com/jonschlinkert/mixin-deep) from 1.3.1 to 1.3.2. Commits - [`754f0c2`](https://github.com/jonschlinkert/mixin-deep/commit/754f0c20e1bc13ea5a21a64fbc7d6ba5f7b359b9) 1.3.2 - [`90ee1fa`](https://github.com/jonschlinkert/mixin-deep/commit/90ee1fab375fccfd9b926df718243339b4976d50) ensure keys are valid when mixing in values - See full diff in [compare view](https://github.com/jonschlinkert/mixin-deep/compare/1.3.1...1.3.2) Maintainer changes This...
Before all great work with light-bulb! I think there's a small error at: ``` unlabelled, ids = self.dataset.model_labelling_set() if len(unlabelled) == 0: self.logger.info("Model labelling done!") scores = self.model.score(unlabelled) ``` As...
