From 925087356b853e2099c1b60d8b757d7aa02121a9 Mon Sep 17 00:00:00 2001
From: Chris Dyer <cdyer@cab.ark.cs.cmu.edu>
Date: Tue, 2 Oct 2012 00:19:43 -0400
Subject: cdec cleanup, remove bayesian stuff, parsing stuff

---
 gi/pf/mh_test.cc | 148 -------------------------------------------------------
 1 file changed, 148 deletions(-)
 delete mode 100644 gi/pf/mh_test.cc

(limited to 'gi/pf/mh_test.cc')

diff --git a/gi/pf/mh_test.cc b/gi/pf/mh_test.cc
deleted file mode 100644
index 296e7285..00000000
--- a/gi/pf/mh_test.cc
+++ /dev/null
@@ -1,148 +0,0 @@
-#include "ccrp.h"
-
-#include <vector>
-#include <iostream>
-
-#include "tdict.h"
-#include "transliterations.h"
-
-using namespace std;
-
-MT19937 rng;
-
-static bool verbose = false;
-
-struct Model {
-
-  Model() : bp(), base(0.2, 0.6) , ccrps(5, CCRP<int>(0.8, 0.5)) {}
-
-  double p0(int x) const {
-    assert(x > 0);
-    assert(x < 5);
-    return 1.0/4.0;
-  }
-
-  double llh() const {
-    double lh = bp + base.log_crp_prob();
-    for (int ctx = 1; ctx < 5; ++ctx)
-      lh += ccrps[ctx].log_crp_prob();
-    return lh;
-  }
-
-  double prob(int ctx, int x) const {
-    assert(ctx > 0 && ctx < 5);
-    return ccrps[ctx].prob(x, base.prob(x, p0(x)));
-  }
-
-  void increment(int ctx, int x) {
-    assert(ctx > 0 && ctx < 5);
-    if (ccrps[ctx].increment(x, base.prob(x, p0(x)), &rng)) {
-      if (base.increment(x, p0(x), &rng)) {
-        bp += log(1.0 / 4.0);
-      }
-    }
-  }
-
-  // this is just a biased estimate
-  double est_base_prob(int x) {
-    return (x + 1) * x / 40.0;
-  }
-
-  void increment_is(int ctx, int x) {
-    assert(ctx > 0 && ctx < 5);
-    SampleSet<double> ss;
-    const int PARTICLES = 25;
-    vector<CCRP<int> > s1s(PARTICLES, CCRP<int>(0.5,0.5));
-    vector<CCRP<int> > sbs(PARTICLES, CCRP<int>(0.5,0.5));
-    vector<double> sp0s(PARTICLES);
-
-    CCRP<int> s1 = ccrps[ctx];
-    CCRP<int> sb = base;
-    double sp0 = bp;
-    for (int pp = 0; pp < PARTICLES; ++pp) {
-      if (pp > 0) {
-        ccrps[ctx] = s1;
-        base = sb;
-        bp = sp0;
-      }
-
-      double q = 1;
-      double gamma = 1;
-      double est_p = est_base_prob(x);
-      //base.prob(x, p0(x)) + rng.next() * 0.1;
-      if (ccrps[ctx].increment(x, est_p, &rng, &q)) {
-        gamma = q * base.prob(x, p0(x));
-        q *= est_p;
-        if (verbose) cerr << "(DP-base draw) ";
-        double qq = -1;
-        if (base.increment(x, p0(x), &rng, &qq)) {
-          if (verbose) cerr << "(G0 draw) ";
-          bp += log(p0(x));
-          qq *= p0(x);
-        }
-      } else { gamma = q; }
-      double w = gamma / q;
-      if (verbose)
-        cerr << "gamma=" << gamma << " q=" << q << "\tw=" << w << endl;
-      ss.add(w);
-      s1s[pp] = ccrps[ctx];
-      sbs[pp] = base;
-      sp0s[pp] = bp;
-    }
-    int ps = rng.SelectSample(ss);
-    ccrps[ctx] = s1s[ps];
-    base = sbs[ps];
-    bp = sp0s[ps];
-    if (verbose) {
-      cerr << "SELECTED: " << ps << endl;
-      static int cc = 0; cc++; if (cc ==10) exit(1);
-    }
-  }
-
-  void decrement(int ctx, int x) {
-    assert(ctx > 0 && ctx < 5);
-    if (ccrps[ctx].decrement(x, &rng)) {
-      if (base.decrement(x, &rng)) {
-        bp -= log(p0(x));
-      }
-    }
-  }
-
-  double bp;
-  CCRP<int> base;
-  vector<CCRP<int> > ccrps;
-
-};
-
-int main(int argc, char** argv) {
-  if (argc > 1) { verbose = true; }
-  vector<int> counts(15, 0);
-  vector<int> tcounts(15, 0);
-  int points[] = {1,2, 2,2, 3,2, 4,1, 3, 4, 3, 3, 2, 3, 4, 1, 4, 1, 3, 2, 1, 3, 1, 4, 0, 0};
-  double tlh = 0;
-  double tt = 0;
-  for (int n = 0; n < 1000; ++n) {
-    if (n % 10 == 0) cerr << '.';
-    if ((n+1) % 400 == 0) cerr << " [" << (n+1) << "]\n";
-    Model m;
-    for (int *x = points; *x; x += 2)
-      m.increment(x[0], x[1]);
-
-    for (int j = 0; j < 24; ++j) {
-      for (int *x = points; *x; x += 2) {
-        if (rng.next() < 0.8) {
-          m.decrement(x[0], x[1]);
-          m.increment_is(x[0], x[1]);
-        }
-      }
-    }
-    counts[m.base.num_customers()]++;
-    tcounts[m.base.num_tables()]++;
-    tlh += m.llh();
-    tt += 1.0;
-  }
-  cerr << "mean LLH = " << (tlh / tt) << endl;
-  for (int i = 0; i < 15; ++i)
-    cerr << i << ": " << (counts[i] / tt) << "\t" << (tcounts[i] / tt) << endl;
-}
-
-- 
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