inputx-scoring 1.4.0

Probability-native candidate scoring primitive — Bayesian score = log_prior + log_likelihood, Q4 fixed-point. The schema any IME (Mandarin / Japanese / Wubi / Romaji / Hangul) can use to rank candidates by P(W|i) = P(i|W) · P(W) in log-space.
Documentation 
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[package]
name = "inputx-scoring"
version = "1.4.0"
edition.workspace = true
rust-version.workspace = true
license = "MIT OR Apache-2.0"
readme = "README.md"
description = "Probability-native candidate scoring primitive — Bayesian score = log_prior + log_likelihood, Q4 fixed-point. The schema any IME (Mandarin / Japanese / Wubi / Romaji / Hangul) can use to rank candidates by P(W|i) = P(i|W) · P(W) in log-space."
authors = ["GOLIA K.K."]
repository = "https://github.com/goliajp/inputx"
homepage = "https://github.com/goliajp/inputx"
keywords = ["ime", "bayesian", "scoring", "ranking", "log-likelihood"]
categories = ["algorithms", "text-processing", "no-std"]

[lib]
crate-type = ["rlib"]

[features]
default = ["std"]
# Without `std`, the crate compiles as `#![no_std]` (alloc only). The
# schema itself is no_std clean — only optional helpers / Display impls
# touch std for formatting.
std = []

[dependencies]
# Zero dependencies — same design point as inputx-fsa / inputx-phonetic-edit.