1 files changed, 0 insertions, 89 deletions
diff --git a/gi/pf/monotonic_pseg.h b/gi/pf/monotonic_pseg.h
deleted file mode 100644
index 10d171fe..00000000
--- a/gi/pf/monotonic_pseg.h
+++ /dev/null
@@ -1,89 +0,0 @@
-#ifndef _MONOTONIC_PSEG_H_
-#define _MONOTONIC_PSEG_H_
-
-#include <vector>
-
-#include "prob.h"
-#include "ccrp_nt.h"
-#include "trule.h"
-#include "base_distributions.h"
-
-template <typename BaseMeasure>
-struct MonotonicParallelSegementationModel {
-  explicit MonotonicParallelSegementationModel(BaseMeasure& rcp0) :
-    rp0(rcp0), base(prob_t::One()), rules(1,1), stop(1.0) {}
-
-  void DecrementRule(const TRule& rule) {
-    if (rules.decrement(rule))
-      base /= rp0(rule);
-  }
-
-  void IncrementRule(const TRule& rule) {
-    if (rules.increment(rule))
-      base *= rp0(rule);
-  }
-
-  void IncrementRulesAndStops(const std::vector<TRulePtr>& rules) {
-    for (int i = 0; i < rules.size(); ++i)
-      IncrementRule(*rules[i]);
-    if (rules.size()) IncrementContinue(rules.size() - 1);
-    IncrementStop();
-  }
-
-  void DecrementRulesAndStops(const std::vector<TRulePtr>& rules) {
-    for (int i = 0; i < rules.size(); ++i)
-      DecrementRule(*rules[i]);
-    if (rules.size()) {
-      DecrementContinue(rules.size() - 1);
-      DecrementStop();
-    }
-  }
-
-  prob_t RuleProbability(const TRule& rule) const {
-    prob_t p; p.logeq(rules.logprob(rule, log(rp0(rule))));
-    return p;
-  }
-
-  prob_t Likelihood() const {
-    prob_t p = base;
-    prob_t q; q.logeq(rules.log_crp_prob());
-    p *= q;
-    q.logeq(stop.log_crp_prob());
-    p *= q;
-    return p;
-  }
-
-  void IncrementStop() {
-    stop.increment(true);
-  }
-
-  void IncrementContinue(int n = 1) {
-    for (int i = 0; i < n; ++i)
-      stop.increment(false);
-  }
-
-  void DecrementStop() {
-    stop.decrement(true);
-  }
-
-  void DecrementContinue(int n = 1) {
-    for (int i = 0; i < n; ++i)
-      stop.decrement(false);
-  }
-
-  prob_t StopProbability() const {
-    return prob_t(stop.prob(true, 0.5));
-  }
-
-  prob_t ContinueProbability() const {
-    return prob_t(stop.prob(false, 0.5));
-  }
-
-  const BaseMeasure& rp0;
-  prob_t base;
-  CCRP_NoTable<TRule> rules;
-  CCRP_NoTable<bool> stop;
-};
-
-#endif
-