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Section

These tools .

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build_online_ltm_timestep_counts()
Build Per-Timestep LTM Count Tables with Online Update
compute_local_probs()
Compute Local Probabilities for a Single Order; Used by Backoff PPM
count_tables()
Compute Count Tables for STM and LTM with Optional Prior
lag_matrix()
Generate Lagged N-gram Matrix
ppidyom-class ppidyom
Initialize a new PPM counter Train on a single sequence (incremental LTM update)
apply_prior_ltm()
Seed LTM environments from previously accumulated count tables
envs_to_ltm_tables()
Convert online-update environments to LTM data.table format
precompute_contexts()
Precompute context identifiers for all orders
ltm_to_timestep_counts()
Expand LTM Count Tables to Timestep-Aligned Order Tables
ppm_backoff()
Compute PPM Probabilities for all symbols with Backoff
ppm_interpolated()
Compute PPM Probabilities for all symbols with Interpolation
update_env()
Update a Sparse Context Count Environment