Show a histogram of rule scores.
We also break down what proportion of each bucket comprised positive or negative samples. Altogether, this gives you an idea whether a rule is broadly applicable, discriminatory, and spitting out what you expect.
fathom histogram [OPTIONS] TRAINING_SET_FOLDER
The rulesets.js file containing your rules. The file must have no imports except from fathom-web, so pre-bundle if necessary.
The trainee ID of the ruleset you are testing. Usually, this is the same as the type you are testing.
Where to cache training vectors to speed future testing runs. Any existing file will be overwritten. [default: vectors/training_yourTraineeId.json next to your ruleset]
Number of seconds to wait for a page to load before vectorizing it [default: 5]
Number of concurrent browser tabs to use while vectorizing [default: 16]
Show browser window while vectorizing. (Browser runs in headless mode by default.)
Number of histogram buckets to use for non-boolean features [default: 10]
The rule to graph. Can be repeated. Omitting this graphs all rules.