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RateBackendPredictor

infotheory::mixture

Enum RateBackendPredictor 

Source 
pub enum RateBackendPredictor {

Show 13 variants    Rosa {
        model: RosaPlus,
        min_prob: f64,
    },
    Match {
        model: MatchModel,
        min_prob: f64,
    },
    SparseMatch {
        model: SparseMatchModel,
        min_prob: f64,
    },
    Ppmd {
        model: PpmdModel,
        min_prob: f64,
    },
    Sequitur {
        model: SequiturModel,
        min_prob: f64,
    },
    Ctw {
        tree: FacContextTree,
        min_prob: f64,
    },
    FacCtw {
        tree: FacContextTree,
        bits_per_symbol: usize,
        min_prob: f64,
    },
    Rwkv7 {
        compressor: Compressor,
        primed: bool,
        pdf_scratch: Vec<f64>,
        min_prob: f64,
    },
    Mamba {
        compressor: Compressor,
        primed: bool,
        pdf_scratch: Vec<f64>,
        min_prob: f64,
    },
    Zpaq {
        model: ZpaqRateModel,
    },
    Mixture {
        runtime: MixtureRuntime,
    },
    Particle {
        runtime: ParticleRuntime,
    },
    Calibrated {
        base: Box<RateBackendPredictor>,
        core: CalibratorCore,
        pdf: [f64; 256],
        valid: bool,
        min_prob: f64,
    },

}
Expand description

A concrete online predictor backed by a RateBackend configuration.

Variants§

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Rosa

ROSA-Plus online suffix automaton.

Fields

§model: RosaPlus

ROSA model state.

§min_prob: f64

Probability floor for numeric stability.

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Match

Local contiguous match predictor.

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§model: MatchModel

Match model state.

§min_prob: f64

Probability floor for numeric stability.

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SparseMatch

Sparse/gapped local match predictor.

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§model: SparseMatchModel

Sparse-match model state.

§min_prob: f64

Probability floor for numeric stability.

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Ppmd

Bounded-memory PPMD-style predictor.

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§model: PpmdModel

PPMD model state.

§min_prob: f64

Probability floor for numeric stability.

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Sequitur

Exact online Sequitur grammar backend with predictive suffix contexts.

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§model: SequiturModel

Sequitur model state.

§min_prob: f64

Probability floor for numeric stability.

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Ctw

Byte-wise CTW implemented as 8 factorized bit trees (MSB-first).

Fields

§tree: FacContextTree

FAC-CTW tree stack (8 bits per byte).

§min_prob: f64

Probability floor for numeric stability.

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FacCtw

Factorized CTW with configurable bit-encoding (LSB-first).

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§tree: FacContextTree

FAC-CTW tree stack for configured bit width.

§bits_per_symbol: usize

Active bit-width per symbol.

§min_prob: f64

Probability floor for numeric stability.

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Rwkv7

RWKV-7 neural predictor.

Fields

§compressor: Compressor

RWKV compressor/runtime state.

§primed: bool

Whether the first-token distribution has been primed.

§pdf_scratch: Vec<f64>

Scratch copy used for update API that borrows immutable PDF.

§min_prob: f64

Probability floor for numeric stability.

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Mamba

Mamba-1 neural predictor.

Fields

§compressor: Compressor

Mamba compressor/runtime state.

§primed: bool

Whether the first-token distribution has been primed.

§pdf_scratch: Vec<f64>

Scratch copy used for update API that borrows immutable PDF.

§min_prob: f64

Probability floor for numeric stability.

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Zpaq

ZPAQ streaming rate model.

Fields

§model: ZpaqRateModel

ZPAQ rate model state.

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Mixture

Online mixture over experts (Bayes, fading Bayes, switching, MDL).

Fields

§runtime: MixtureRuntime

Active mixture runtime.

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Particle

Particle-latent filter ensemble.

Fields

§runtime: ParticleRuntime

Particle runtime.

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Calibrated

Calibrated wrapper around another predictor.

Fields

§base: Box<RateBackendPredictor>

Wrapped predictor whose PDF is calibrated.

§core: CalibratorCore

Online calibrator state and context features.

§pdf: [f64; 256]

Cached calibrated PDF.

§valid: bool

Whether pdf currently matches wrapped state.

§min_prob: f64

Probability floor used for numerical stability.

Implementations§

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impl RateBackendPredictor

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pub fn from_backend(backend: RateBackend, max_order: i64, min_prob: f64) -> Self

Create a new online predictor from a rate backend configuration.

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pub fn default_name(backend: &RateBackend, max_order: i64) -> String

Human-readable default name for a backend + config.

Trait Implementations§

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impl Clone for RateBackendPredictor

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fn clone(&self) -> RateBackendPredictor

Returns a duplicate of the value. Read more
1.0.0 · Source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl OnlineBytePredictor for RateBackendPredictor

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fn begin_stream(&mut self, total_symbols: Option<u64>) -> Result<(), String>

Optional stream-start hook. Read more
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fn finish_stream(&mut self) -> Result<(), String>

Optional stream-finalization hook.
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fn log_prob(&mut self, symbol: u8) -> f64

Log-probability (natural log) of symbol given the current history.
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fn fill_log_probs(&mut self, out: &mut [f64; 256])

Bulk 256-way log-probabilities for the next byte.
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fn update(&mut self, symbol: u8)

Update the predictor with the observed symbol.
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fn log_prob_update(&mut self, symbol: u8) -> f64

Log-probability (natural log) of symbol, then update the predictor.
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fn reset_frozen(&mut self, total_symbols: Option<u64>) -> Result<(), String>

Reset only dynamic conditioning state while preserving fitted parameters/statistics. Read more
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fn update_frozen(&mut self, symbol: u8)

Advance conditioning state without fitting or adapting parameters. Read more

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Converts self into a Left variant of Either<Self, Self> if into_left(&self) returns true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more
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fn clone_box(&self) -> Box<dyn OnlineBytePredictor>

Clone this predictor as a trait object. Read more
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