Comments (2)
Probably right. I'm tempted to say the fuzzy-logic stuff is still experimental, but it works so well and has so few downsides (and the project is moving so faster) that we might as well commit. Wherever this lands would also be a natural place for the other bits of boilerplate I want to factor out of fathom-trainees.
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The neural-network stuff in 3.0 obviates the need to stay away from 0 and 1, so this is no longer needed.
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Related Issues (20)
- Remove the need to look at Tensorboard for LR HOT 1
- Higher-rez histograms
- `fathom-init`-like tool
- Support CUDA in trainer HOT 1
- Handle whitespace in base64 strings in fathom extract
- Try using window loading events to trigger vectorization instead of `tabs.onUpdated` HOT 1
- Duplicate feature vectors for samples appearing in vector file
- Make Fathom see into iframes HOT 1
- Configuring Vectorizer...Error: Couldn't find trainee ID "TRAINEE" in your rulesets. HOT 11
- Travis CI free usage ends Dec 3; mozilla repos should switch to other CI platforms HOT 1
- Dev tools panel sometimes doesn't draw all its widgets HOT 1
- Evaluate SingleFile as alternative serializer
- Have an Outreachy intern
- Make isVisible 10% faster by avoiding unneeded getComputedStyle() calls HOT 2
- FathomFox doesnโt see elements that are in the iframe
- geckodriver code 64 HOT 2
- Can't find firefox binary
- Check ancestors overflow style instead of descendant's overflow style in IsVisible()
- fathom train fails: 'WebDriver' object has no attribute 'find_element_by_id' HOT 3
- `isVisible` returns `false` for elements scrolled off the top of the screen
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