markov
markov v2.0.0

Markov.ModelActions (markov v2.0.0)

Performs training, generation and probability shifting. Supposed to only ever be used by Markov.ModelServers.

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Functions

generate(state, tag_query)
next_state(state, current, tag_query)
process_scores(from, rows, arg3, table)

processes {, :score, } tag queries

tq2ms(from, query)

tag query to match specification

tq2msc(tag)

tag query to match spec condition

train(state, tokens, tags)
walk_chain(state, acc, queue, limit, tag_query)

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generate(state, tag_query)

@spec generate(Markov.ModelServer.State.t(), Markov.tag_query()) ::
  {{:ok, [term()]} | {:error, term()}, Markov.ModelServer.State.t()}
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next_state(state, current, tag_query)

@spec next_state(Markov.ModelServer.State.t(), [term()], Markov.tag_query()) ::
  {:ok, term(), Markov.ModelServer.State.t()}
  | {:error, term(), Markov.ModelServer.State.t()}
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process_scores(from, rows, arg3, table)

processes {, :score, } tag queries

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tq2ms(from, query)

@spec tq2ms([term()], Markov.tag_query()) :: :ets.match_spec()

tag query to match specification

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tq2msc(tag)

@spec tq2msc(Markov.tag_query()) :: term()

tag query to match spec condition

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train(state, tokens, tags)

@spec train(
  state :: Markov.ModelServer.State.t(),
  tokens :: [term()],
  tags :: [term()]
) ::
  Markov.ModelServer.State.t()
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walk_chain(state, acc, queue, limit, tag_query)

@spec walk_chain(
  Markov.ModelServer.State.t(),
  [term()],
  [term()],
  non_neg_integer(),
  Markov.tag_query()
) :: {{:ok, [term()]} | {:error, term()}, Markov.ModelServer.State.t()}