Lodestar.Text 0.5.0. This page is frozen at that release. Read the current documentation for what main says now. A link to a decision or a migration page follows main, and leaves the archive.

Persistence — Lodestar.Text

A fitted vectorizer is worth saving: the vocabulary and the document frequencies came from a training corpus, and that corpus may not be around later. Lodestar.Text.Persistence holds the one type that governs reading such a file back — ArtifactLoadOptions, the bounds a load is held to.

Why a load needs bounds at all

A saved artifact is a file, and a file can come from anywhere. Deserializing one that declares a hundred million vocabulary entries would allocate them before anything noticed, which is a denial of service written as a document. Every Load and LoadAsync in this package takes these bounds, and the defaults are generous enough that a legitimate model never meets one.

That is the deliberate difference from Python's pickle.load, which this package's format replaces: pickle executes arbitrary code by design, so bounding it is not possible. decisions/0011 has that comparison and why the format is JSON.

An artifact that exceeds a bound is refused, not truncated. A model that silently loaded smaller than it was saved would score differently and say nothing.

Types

Type	What it is
ArtifactLoadOptions	The five bounds a load is held to.

See also

• CountVectorizer.Load and TfidfVectorizer.Load — the members that take these.
• From string to vector — "Reading a file you did not write".