fathom histogram

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

Options

-r, --ruleset <ruleset>

The rulesets.js file containing your rules. The file must have no imports except from fathom-web, so pre-bundle if necessary.

--trainee <trainee>

The trainee ID of the ruleset you are testing. Usually, this is the same as the type you are testing.

--training-cache <training_cache>

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]

--delay <delay>

Number of seconds to wait for a page to load before vectorizing it [default: 5]

--tabs <tabs>

Number of concurrent browser tabs to use while vectorizing [default: 16]

--show-browser

Show browser window while vectorizing. (Browser runs in headless mode by default.)

-b, --buckets <buckets>

Number of histogram buckets to use for non-boolean features [default: 10]

--rule <rules>

The rule to graph. Can be repeated. Omitting this graphs all rules.

Arguments

TRAINING_SET_FOLDER

Required argument

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