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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# THIS FILE IS AUTOMATICALLY GENERATED BY CARGO
#
# When uploading crates to the registry Cargo will automatically
# "normalize" Cargo.toml files for maximal compatibility
# with all versions of Cargo and also rewrite `path` dependencies
# to registry (e.g., crates.io) dependencies.
#
# If you are reading this file be aware that the original Cargo.toml
# will likely look very different (and much more reasonable).
# See Cargo.toml.orig for the original contents.

[package]
edition = "2024"
rust-version = "1.95"
name = "inputx-scoring"
version = "1.4.0"
authors = ["GOLIA K.K."]
build = false
autolib = false
autobins = false
autoexamples = false
autotests = false
autobenches = false
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."
homepage = "https://github.com/goliajp/inputx"
readme = "README.md"
keywords = [
    "ime",
    "bayesian",
    "scoring",
    "ranking",
    "log-likelihood",
]
categories = [
    "algorithms",
    "text-processing",
    "no-std",
]
license = "MIT OR Apache-2.0"
repository = "https://github.com/goliajp/inputx"
resolver = "2"

[features]
default = ["std"]
std = []

[lib]
name = "inputx_scoring"
crate-type = ["rlib"]
path = "src/lib.rs"

[dependencies]