train.h File Reference

#include <cmath>
#include <cstdint>
#include <vector>
#include <fst/log.h>
#include <fst/extensions/far/far.h>
#include <fst/arcfilter.h>
#include <fst/compose.h>
#include <fst/fst.h>
#include <fst/mutable-fst.h>
#include <fst/queue.h>
#include <fst/shortest-distance.h>
#include <fst/weight.h>
#include <baumwelch/cascade.h>
#include <baumwelch/expectation-table.h>
#include <baumwelch/log-adder.h>
#include <baumwelch/util.h>

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Classes
struct	fst::TrainOptions
class	fst::internal::ForwardBackward< Arc >
class	fst::internal::StepwiseBaumWelchTrainer< Arc, ExpectationTable >

Namespaces
	fst
	fst::internal

Functions
template<class Arc , class ExpectationTable >
Arc::Weight	fst::internal::Train (FarReader< Arc > &input, FarReader< Arc > &output, MutableFst< Arc > *model, const TrainOptions &opts=TrainOptions())
template<class Arc >
Arc::Weight	fst::Train (FarReader< Arc > &input, FarReader< Arc > &output, MutableFst< Arc > *model, bool normalize_ilabel=true, const TrainOptions &opts=TrainOptions())

Variables
constexpr float	fst::kAlpha = 1.
constexpr int	fst::kMaxIters = 50