Module diagnose 

What the header features say of each account’s mail (sioul spam features): each feature’s mean over the corpus, by account and label, and how often it is known. A feature whose mean differs from one account to another more than from ham to spam tells the classifier where mail was collected rather than what it is: it learns each account’s share of spam instead of spam. Optionally, only the mail of one sender’s domain: what the features carry of a bank’s or a provider’s real messages. Numbers only, never a message.

Structs

Group

One account’s mail of one label: how many, each feature’s mean over those where it is known, and how many those are.

Functions

feature_means

Each account’s and label’s feature means, over the copies a training learns from; only the mail of domain (the sender’s registrable domain, or one under it) when given.

names

The feature names, in the order of Group::means.