PINE LIBRARY

CyberRegimeLib

104
CyberRegimeLib - online sssm

GaussianRegime parameter/state UDT
PosteriorHistory ring-buffer UDT
Gaussian cloning and prior-stat capping
Online EM accumulation and M-step
Hamilton forward filtering
One-step smoothing
Fixed-horizon Kim smoothing
Active-state hysteresis


Library "CyberRegimeLib"

f_regime_new(dimensions)
  Parameters:
    dimensions (int)

method clone(source)
  Namespace types: GaussianRegime
  Parameters:
    source (GaussianRegime)

f_clone_regimes(source)
  Parameters:
    source (array<GaussianRegime>)

f_n_eff_at(regimes, index)
  Parameters:
    regimes (array<GaussianRegime>)
    index (int)

f_cap_prior_stats(regimes, total_cap)
  Parameters:
    regimes (array<GaussianRegime>)
    total_cap (float)

method initialize_stats(regime, regime_count, active_dims)
  Namespace types: GaussianRegime
  Parameters:
    regime (GaussianRegime)
    regime_count (int)
    active_dims (array<bool>)

f_accumulate_stats(regimes, responsibilities, observation, lambda_eff, admission_weight, count, prior_weighted, full_cov_dims)
  Parameters:
    regimes (array<GaussianRegime>)
    responsibilities (array<float>)
    observation (array<float>)
    lambda_eff (float)
    admission_weight (float)
    count (int)
    prior_weighted (bool)
    full_cov_dims (int)

method mstep(regime, active_dims, ridge_main, ridge_aux, shrinkage, min_n_eff, anchor)
  Namespace types: GaussianRegime
  Parameters:
    regime (GaussianRegime)
    active_dims (array<bool>)
    ridge_main (float)
    ridge_aux (float)
    shrinkage (float)
    min_n_eff (float)
    anchor (float)

f_hamilton_step(transition, filtered, log_likelihoods, count)
  Parameters:
    transition (matrix<float>)
    filtered (array<float>)
    log_likelihoods (array<float>)
    count (int)

f_history_new(capacity, state_count)
  Parameters:
    capacity (int)
    state_count (int)

method push(history, filtered, predicted)
  Namespace types: PosteriorHistory
  Parameters:
    history (PosteriorHistory)
    filtered (array<float>)
    predicted (array<float>)

method smooth_one(history, transition, fallback_index, fallback_probability)
  Namespace types: PosteriorHistory
  Parameters:
    history (PosteriorHistory)
    transition (matrix<float>)
    fallback_index (int)
    fallback_probability (float)

method smooth_fixed(history, transition, horizon)
  Namespace types: PosteriorHistory
  Parameters:
    history (PosteriorHistory)
    transition (matrix<float>)
    horizon (int)

f_hysteresis_state(current, active_since, candidate, best, second, minimum_margin, minimum_bars, current_bar)
  Parameters:
    current (int)
    active_since (int)
    candidate (int)
    best (float)
    second (float)
    minimum_margin (float)
    minimum_bars (int)
    current_bar (int)

GaussianRegime
  Fields:
    mu (array<float>)
    mu_seed (array<float>)
    Sigma (matrix<float>)
    Sigma_inv (matrix<float>)
    F (matrix<float>)
    Q_diag (array<float>)
    prior (series float)
    n_eff (series float)
    sum_x (array<float>)
    sum_xx (matrix<float>)

PosteriorHistory
  Fields:
    filtered_flat (array<float>)
    predicted_flat (array<float>)
    write_idx (series int)
    count (series int)
    capacity (series int)
    state_count (series int)

Penafian

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