Merge remote-tracking branch 'upstream/master'

author: Patrick Simianer <simianer@cl.uni-heidelberg.de> 2012-05-14 17:00:45 +0200
committer: Patrick Simianer <simianer@cl.uni-heidelberg.de> 2012-05-14 17:00:45 +0200
commit: 7c344de97edac0aa2a6a90c2de9bcf60f15ac000 (patch)
tree: f61bf6ca09d1d0ec6398dd0e8ec7c8e85a5598e7 /creg
parent: d94373453c69c6cfec952a0f7b427cacc78654d8 (diff)
parent: 824c96f038b0447ce83ae92cad112a5be49e3330 (diff)
13 files changed, 1645 insertions, 0 deletions
diff --git a/creg/Makefile.am b/creg/Makefile.am
new file mode 100644
index 00000000..9e25b838
--- /dev/null
+++ b/creg/Makefile.am
@@ -0,0 +1,11 @@
+bin_PROGRAMS = \
+  creg
+
+creg_SOURCES = creg.cc json_feature_map_lexer.cc
+creg_LDADD = $(top_srcdir)/training/liblbfgs/liblbfgs.a $(top_srcdir)/utils/libutils.a -lz
+
+json_feature_map_lexer.cc: json_feature_map_lexer.ll
+	$(LEX) -s -8 -CF -o$@ $<
+
+AM_CPPFLAGS = -W -Wall -DNDEBUG -I$(top_srcdir)/utils -I$(top_srcdir)/training
+
diff --git a/creg/README b/creg/README
new file mode 100644
index 00000000..28a71d11
--- /dev/null
+++ b/creg/README
@@ -0,0 +1,17 @@
+creg is a fast tool for training linear and logistic regression models with
+l_1 and l_2 regularization. Its data (feature and response) format is
+compatible with ARKRegression.
+
+EXAMPLES
+
+Logistic regression example (training only):
+  $ ./creg -x test_data/iris.trainfeat -y test_data/iris.trainresp --l1 1.0 > weights.txt
+
+Logistic regression example (training and testing):
+  $ ./creg -x test_data/iris.trainfeat -y test_data/iris.trainresp --l1 1.0 \
+        -t test_data/iris.testfeat -s test_data/iris.testresp > weights.txt
+
+Linear regression example (training and testing):
+  $ ./creg -n -x test_data/auto-mpg.trainfeat -y test_data/auto-mpg.trainresp --l2 1000 \
+        -t test_data/auto-mpg.testfeat -s test_data/auto-mpg.testresp > weights.txt
+
diff --git a/creg/creg.cc b/creg/creg.cc
new file mode 100644
index 00000000..005ec9ac
--- /dev/null
+++ b/creg/creg.cc
@@ -0,0 +1,384 @@
+#include <cstdlib>
+#include <iostream>
+#include <vector>
+#include <tr1/unordered_map>
+#include <limits>
+#include <cmath>
+
+#include <boost/program_options.hpp>
+#include <boost/program_options/variables_map.hpp>
+
+#include "json_feature_map_lexer.h"
+#include "prob.h"
+#include "filelib.h"
+#include "weights.h"
+#include "sparse_vector.h"
+#include "liblbfgs/lbfgs++.h"
+
+using namespace std;
+using namespace std::tr1;
+namespace po = boost::program_options;
+
+void InitCommandLine(int argc, char** argv, po::variables_map* conf) {
+  po::options_description opts("Configuration options");
+  opts.add_options()
+        ("training_features,x", po::value<string>(), "File containing training instance features (ARKRegression format)")
+        ("training_responses,y", po::value<string>(), "File containing training response features (ARKRegression format)")
+        ("linear,n", "Linear (rather than logistic) regression")
+        ("l1",po::value<double>()->default_value(0.0), "l_1 regularization strength")
+        ("l2",po::value<double>()->default_value(0.0), "l_2 regularization strength")
+        ("test_features,t", po::value<string>(), "File containing training instance features (ARKRegression format)")
+        ("test_responses,s", po::value<string>(), "File containing training response features (ARKRegression format)")
+        ("weights,w", po::value<string>(), "Initial weights")
+        ("epsilon,e", po::value<double>()->default_value(1e-4), "Epsilon for convergence test. Terminates when ||g|| < epsilon * max(1, ||w||)")
+        ("memory_buffers,m",po::value<unsigned>()->default_value(40), "Number of memory buffers for LBFGS")
+        ("help,h", "Help");
+  po::options_description dcmdline_options;
+  dcmdline_options.add(opts);
+  po::store(parse_command_line(argc, argv, dcmdline_options), *conf);
+  if (conf->count("help") || !conf->count("training_features") || !conf->count("training_responses")) {
+    cerr << dcmdline_options << endl;
+    exit(1);
+  }
+}
+
+struct TrainingInstance {
+  SparseVector<float> x;
+  union {
+    unsigned label;  // for categorical predictions
+    float value;     // for continuous predictions
+  } y;
+};
+
+struct ReaderHelper {
+  explicit ReaderHelper(vector<TrainingInstance>* xyp) : xy_pairs(xyp), lc(), flag() {}
+  unordered_map<string, unsigned> id2ind;
+  vector<TrainingInstance>* xy_pairs;
+  int lc;
+  bool flag;
+};
+
+void ReaderCB(const string& id, const SparseVector<float>& fmap, void* extra) {
+  ReaderHelper& rh = *reinterpret_cast<ReaderHelper*>(extra);
+  ++rh.lc;
+  if (rh.lc % 1000 == 0) { cerr << '.'; rh.flag = true; }
+  if (rh.lc % 40000 == 0) { cerr << " [" << rh.lc << "]\n"; rh.flag = false; }
+  const unordered_map<string, unsigned>::iterator it = rh.id2ind.find(id);
+  if (it == rh.id2ind.end()) {
+    cerr << "Unlabeled example in line " << rh.lc << endl;
+    abort();
+  }
+  (*rh.xy_pairs)[it->second - 1].x = fmap;
+}
+
+void ReadLabeledInstances(const string& ffeats,
+                 const string& fresp,
+                 const bool is_continuous,
+                 vector<TrainingInstance>* xy_pairs,
+                 vector<string>* labels) {
+  bool flag = false;
+  xy_pairs->clear();
+  int lc = 0;
+  ReaderHelper rh(xy_pairs);
+  unordered_map<string, unsigned> label2id;
+  cerr << "Reading responses from " << fresp << " ..." << endl;
+  ReadFile fr(fresp);
+  for (unsigned i = 0; i < labels->size(); ++i)
+    label2id[(*labels)[i]] = i;
+  istream& in = *fr.stream();
+  string line;
+  while(getline(in, line)) {
+    ++lc;
+    if (lc % 1000 == 0) { cerr << '.'; flag = true; }
+    if (lc % 40000 == 0) { cerr << " [" << lc << "]\n"; flag = false; }
+    if (line.size() == 0) continue;
+    if (line[0] == '#') continue;
+    unsigned p = 0;
+    while (p < line.size() && line[p] != ' ' && line[p] != '\t') { ++p; }
+    unsigned& ind = rh.id2ind[line.substr(0, p)];
+    if (ind != 0) { cerr << "ID " << line.substr(0, p) << " duplicated in line " << lc << endl; abort(); }
+    while (p < line.size() && (line[p] == ' ' || line[p] == '\t')) { ++p; }
+    assert(p < line.size());
+    xy_pairs->push_back(TrainingInstance());
+    ind = xy_pairs->size();
+    if (is_continuous) {
+      xy_pairs->back().y.value = strtof(&line[p], 0);
+    } else { // categorical predictions
+      unordered_map<string, unsigned>::iterator it = label2id.find(line.substr(p));
+      if (it == label2id.end()) {
+        const string label = line.substr(p);
+        it = label2id.insert(make_pair(label, labels->size())).first;
+        labels->push_back(label);
+      }
+      xy_pairs->back().y.label = it->second;  // label id
+    }
+  }
+  if (flag) cerr << endl;
+  if (!is_continuous) {
+    cerr << "LABELS:";
+    for (unsigned j = 0; j < labels->size(); ++j)
+      cerr << " " << (*labels)[j];
+    cerr << endl;
+  }
+  cerr << "Reading features from " << ffeats << " ..." << endl;
+  ReadFile ff(ffeats);
+  JSONFeatureMapLexer::ReadRules(ff.stream(), ReaderCB, &rh);
+  if (rh.flag) cerr << endl;
+}
+
+// helper base class (not polymorphic- just a container and some helper functions) for loss functions
+// real loss functions should implement double operator()(const vector<double>& x, double* g),
+// which should evaluate f(x) and g = f'(x)
+struct BaseLoss {
+  // dimp1 = number of categorial outputs possible for logistic regression
+  // for linear regression, it should be 1 more than the dimension of the response variable
+  BaseLoss(
+      const vector<TrainingInstance>& tr,
+      unsigned dimp1,
+      unsigned numfeats,
+      unsigned ll2) : training(tr), K(dimp1), p(numfeats), l2(ll2) {}
+
+  // weight vector layout for K classes, with p features
+  //   w[0 : K-1] = bias weights
+  //   w[y*p + K : y*p + K + p - 1] = feature weights for y^th class
+  // this representation is used in ComputeDotProducts and GradAdd
+  void ComputeDotProducts(const SparseVector<float>& fx,  // feature vector of x
+                          const vector<double>& w,         // full weight vector
+                          vector<double>* pdotprods) const {
+    vector<double>& dotprods = *pdotprods;
+    const unsigned km1 = K - 1;
+    dotprods.resize(km1);
+    for (unsigned y = 0; y < km1; ++y)
+      dotprods[y] = w[y];  // bias terms
+    for (SparseVector<float>::const_iterator it = fx.begin(); it != fx.end(); ++it) {
+      const float fval = it->second;
+      const unsigned fid = it->first;
+      for (unsigned y = 0; y < km1; ++y)
+        dotprods[y] += w[fid + y * p + km1] * fval;
+    }
+  }
+
+  double ApplyRegularizationTerms(const vector<double>& weights,
+                                  double* g) const {
+    double reg = 0;
+    for (size_t i = K - 1; i < weights.size(); ++i) {
+      const double& w_i = weights[i];
+      reg += l2 * w_i * w_i;
+      g[i] += 2 * l2 * w_i;
+    }
+    return reg;
+  }
+
+  void GradAdd(const SparseVector<float>& fx,
+               const unsigned y,
+               const double scale,
+               double* acc) const {
+    acc[y] += scale; // class bias
+    for (SparseVector<float>::const_iterator it = fx.begin();
+         it != fx.end(); ++it)
+      acc[it->first + y * p + K - 1] += it->second * scale;
+  }
+
+  const vector<TrainingInstance>& training;
+  const unsigned K, p;
+  const double l2;
+};
+
+struct UnivariateSquaredLoss : public BaseLoss {
+  UnivariateSquaredLoss(
+          const vector<TrainingInstance>& tr,
+          unsigned numfeats,
+          const double l2) : BaseLoss(tr, 2, numfeats, l2) {}
+
+  // evaluate squared loss and gradient
+  double operator()(const vector<double>& x, double* g) const {
+    fill(g, g + x.size(), 0.0);
+    double cll = 0;
+    vector<double> dotprods(1);  // univariate prediction
+    for (unsigned i = 0; i < training.size(); ++i) {
+      const SparseVector<float>& fmapx = training[i].x;
+      const double refy = training[i].y.value;
+      ComputeDotProducts(fmapx, x, &dotprods);
+      double diff = dotprods[0] - refy;
+      cll += diff * diff;
+
+      double scale = 2 * diff;
+      GradAdd(fmapx, 0, scale, g);
+    }
+    double reg = ApplyRegularizationTerms(x, g);
+    return cll + reg;
+  }
+
+  // return root mse
+  double Evaluate(const vector<TrainingInstance>& test,
+                  const vector<double>& w) const {
+    vector<double> dotprods(1);  // K-1 degrees of freedom
+    double mse = 0;
+    for (unsigned i = 0; i < test.size(); ++i) {
+      const SparseVector<float>& fmapx = test[i].x;
+      const float refy = test[i].y.value;
+      ComputeDotProducts(fmapx, w, &dotprods);
+      double diff = dotprods[0] - refy;
+      cerr << "line=" << (i+1) << " true=" << refy << " pred=" << dotprods[0] << endl;
+      mse += diff * diff;
+    }
+    mse /= test.size();
+    return sqrt(mse);
+  }
+};
+
+struct MulticlassLogLoss : public BaseLoss {
+  MulticlassLogLoss(
+          const vector<TrainingInstance>& tr,
+          unsigned k,
+          unsigned numfeats,
+          const double l2) : BaseLoss(tr, k, numfeats, l2) {}
+
+  // evaluate log loss and gradient
+  double operator()(const vector<double>& x, double* g) const {
+    fill(g, g + x.size(), 0.0);
+    vector<double> dotprods(K - 1);  // K-1 degrees of freedom
+    vector<prob_t> probs(K);
+    double cll = 0;
+    for (unsigned i = 0; i < training.size(); ++i) {
+      const SparseVector<float>& fmapx = training[i].x;
+      const unsigned refy = training[i].y.label;
+      //cerr << "FMAP: " << fmapx << endl;
+      ComputeDotProducts(fmapx, x, &dotprods);
+      prob_t z;
+      for (unsigned j = 0; j < dotprods.size(); ++j)
+        z += (probs[j] = prob_t(dotprods[j], init_lnx()));
+      z += (probs.back() = prob_t::One());
+      for (unsigned y = 0; y < probs.size(); ++y) {
+        probs[y] /= z;
+        //cerr << "  p(y=" << y << ")=" << probs[y].as_float() << "\tz=" << z << endl;
+      }
+      cll -= log(probs[refy]);  // log p(y | x)
+
+      for (unsigned y = 0; y < dotprods.size(); ++y) {
+        double scale = probs[y].as_float();
+        if (y == refy) { scale -= 1.0; }
+        GradAdd(fmapx, y, scale, g);
+      }
+    }
+    double reg = ApplyRegularizationTerms(x, g);
+    return cll + reg;
+  }
+
+  double Evaluate(const vector<TrainingInstance>& test,
+                  const vector<double>& w) const {
+    vector<double> dotprods(K - 1);  // K-1 degrees of freedom
+    double correct = 0;
+    for (unsigned i = 0; i < test.size(); ++i) {
+      const SparseVector<float>& fmapx = test[i].x;
+      const unsigned refy = test[i].y.label;
+      ComputeDotProducts(fmapx, w, &dotprods);
+      double best = 0;
+      unsigned besty = dotprods.size();
+      for (unsigned y = 0; y < dotprods.size(); ++y)
+        if (dotprods[y] > best) { best = dotprods[y]; besty = y; }
+      if (refy == besty) { ++correct; }
+    }
+    return correct / test.size();
+  }
+};
+
+template <class LossFunction>
+double LearnParameters(LossFunction& loss,
+                       const double l1,
+                       const unsigned l1_start,
+                       const unsigned memory_buffers,
+                       const double eps,
+                       vector<double>* px) {
+  LBFGS<LossFunction> lbfgs(px, loss, memory_buffers, l1, l1_start, eps);
+  lbfgs.MinimizeFunction();
+  return 0;
+}
+
+int main(int argc, char** argv) {
+  po::variables_map conf;
+  InitCommandLine(argc, argv, &conf);
+  string line;
+  double l1 = conf["l1"].as<double>();
+  double l2 = conf["l2"].as<double>();
+  const unsigned memory_buffers = conf["memory_buffers"].as<unsigned>();
+  const double epsilon = conf["epsilon"].as<double>();
+  if (l1 < 0.0) {
+    cerr << "L1 strength must be >= 0\n";
+    return 1;
+  }
+  if (l2 < 0.0) {
+    cerr << "L2 strength must be >= 0\n";
+    return 2;
+  }
+
+  const bool is_continuous = conf.count("linear");
+  const string xfile = conf["training_features"].as<string>();
+  const string yfile = conf["training_responses"].as<string>();
+  vector<string> labels; // only populated for non-continuous models
+  vector<TrainingInstance> training, test;
+  ReadLabeledInstances(xfile, yfile, is_continuous, &training, &labels);
+  if (conf.count("test_features")) {
+    const string txfile = conf["test_features"].as<string>();
+    const string tyfile = conf["test_responses"].as<string>();
+    ReadLabeledInstances(txfile, tyfile, is_continuous, &test, &labels);
+  }
+
+  if (conf.count("weights")) {
+    cerr << "Initial weights are not implemented, please implement." << endl;
+    // TODO read weights for categorical and continuous predictions
+    // can't use normal cdec weight framework
+    abort();
+  }
+
+  cerr << "         Number of features: " << FD::NumFeats() << endl;
+  cerr << "Number of training examples: " << training.size() << endl;
+  const unsigned p = FD::NumFeats();
+  cout.precision(15);
+
+  if (conf.count("linear")) {  // linear regression
+    vector<double> weights(1 + FD::NumFeats(), 0.0);
+    cerr << "       Number of parameters: " << weights.size() << endl;
+    UnivariateSquaredLoss loss(training, p, l2);
+    LearnParameters(loss, l1, 1, memory_buffers, epsilon, &weights);
+
+    if (test.size())
+      cerr << "Held-out root MSE: " << loss.Evaluate(test, weights) << endl;
+
+    cout << p << "\t***CONTINUOUS***" << endl;
+    cout << "***BIAS***\t" << weights[0] << endl;
+    for (unsigned f = 0; f < p; ++f) {
+      const double w = weights[1 + f];
+      if (w)
+        cout << FD::Convert(f) << "\t" << w << endl;
+    }
+  } else {                     // logistic regression
+    vector<double> weights((1 + FD::NumFeats()) * (labels.size() - 1), 0.0);
+    cerr << "       Number of parameters: " << weights.size() << endl;
+    cerr << "           Number of labels: " << labels.size() << endl;
+    const unsigned K = labels.size();
+    const unsigned km1 = K - 1;
+    MulticlassLogLoss loss(training, K, p, l2);
+    LearnParameters(loss, l1, km1, memory_buffers, epsilon, &weights);
+
+    if (test.size())
+      cerr << "Held-out accuracy: " << loss.Evaluate(test, weights) << endl;
+
+    cout << p << "\t***CATEGORICAL***";
+    for (unsigned y = 0; y < K; ++y)
+      cout << '\t' << labels[y];
+    cout << endl;
+    for (unsigned y = 0; y < km1; ++y)
+      cout << labels[y] << "\t***BIAS***\t" << weights[y] << endl;
+    for (unsigned y = 0; y < km1; ++y) {
+      for (unsigned f = 0; f < p; ++f) {
+        const double w = weights[km1 + y * p + f];
+        if (w)
+          cout << labels[y] << "\t" << FD::Convert(f) << "\t" << w << endl;
+      }
+    }
+  }
+
+  return 0;
+}
+
diff --git a/creg/json_feature_map_lexer.h b/creg/json_feature_map_lexer.h
new file mode 100644
index 00000000..3324aa29
--- /dev/null
+++ b/creg/json_feature_map_lexer.h
@@ -0,0 +1,15 @@
+#ifndef _RULE_LEXER_H_
+#define _RULE_LEXER_H_
+
+#include <iostream>
+#include <string>
+
+#include "sparse_vector.h"
+
+struct JSONFeatureMapLexer {
+  typedef void (*FeatureMapCallback)(const std::string& id, const SparseVector<float>& fmap, void* extra);
+  static void ReadRules(std::istream* in, FeatureMapCallback func, void* extra);
+};
+
+#endif
+
diff --git a/creg/json_feature_map_lexer.ll b/creg/json_feature_map_lexer.ll
new file mode 100644
index 00000000..cbb6d9a9
--- /dev/null
+++ b/creg/json_feature_map_lexer.ll
@@ -0,0 +1,132 @@
+%option nounput
+%{
+
+#include "json_feature_map_lexer.h"
+#include "fdict.h"
+#include "fast_sparse_vector.h"
+
+#define YY_DECL int json_fmap_yylex (void)
+#undef YY_INPUT
+#define YY_INPUT(buf, result, max_size) (result = jfmap_stream->read(buf, max_size).gcount())
+#define YY_SKIP_YYWRAP 1
+int yywrap() { return 1; }
+
+JSONFeatureMapLexer::FeatureMapCallback json_fmap_callback = NULL;
+void* json_fmap_callback_extra = NULL;
+std::istream* jfmap_stream = NULL;
+bool fl = true;
+unsigned spos = 0;
+char featname[16000];
+#define MAX_FEATS 20000
+std::pair<int, float> featmap[MAX_FEATS];
+unsigned curfeat = 0;
+std::string instid;
+
+inline unsigned unicode_escape_to_utf8(uint16_t w1, uint16_t w2, char* putf8) {
+  uint32_t cp;
+  if((w1 & 0xfc00) == 0xd800) {
+    if((w2 & 0xfc00) == 0xdc00) {
+      cp = 0x10000 + (((static_cast<uint32_t>(w1) & 0x3ff) << 10) | (w2 & 0x3ff));
+    } else {
+      abort();
+    }
+  } else {
+    cp = w1;
+  }
+  
+  
+  if(cp < 0x80) {
+    putf8[0] = static_cast<char>(cp);
+    return 1;
+  } else if(cp < 0x0800) {
+    putf8[0] = 0xc0 | ((cp >> 6) & 0x1f);
+    putf8[1] = 0x80 | (cp & 0x3f);
+    return 2;
+  } else if(cp < 0x10000) {
+    putf8[0] = 0xe0 | ((cp >> 6) & 0x0f);
+    putf8[1] = 0x80 | ((cp >> 6) & 0x3f);
+    putf8[2] = 0x80 | (cp & 0x3f);
+    return 3;
+  } else if(cp < 0x1fffff) {
+    putf8[0] = 0xf0 | ((cp >> 18) & 0x07);
+    putf8[1] = 0x80 | ((cp >> 12) & 0x3f);
+    putf8[2] = 0x80 | ((cp >> 6) & 0x3f);
+    putf8[3] = 0x80 | (cp & 0x3f);
+    return 4;
+  } else {
+    abort();
+  } 
+  return 0;
+}
+
+%}
+
+ID [^ \t\n\r]+
+HEX_D [a-fA-F0-9]
+INT [-]?[0-9]+
+DOUBLE {INT}((\.[0-9]+)?([eE][-+]?[0-9]+)?)
+WS [ \t\r\n]
+LCB [{]
+RCB [}]
+UNESCAPED_CH [^\"\\\b\n\r\f\t]
+
+%x JSON PREVAL STRING JSONVAL POSTVAL DOUBLE
+%%
+
+<INITIAL>{ID}                            { instid = yytext; BEGIN(JSON); }
+
+<JSON>{WS}*{LCB}{WS}*                    { BEGIN(PREVAL); }
+
+<PREVAL>\"                               { BEGIN(STRING); spos=0; }
+
+<STRING>\"                               { featname[spos] = 0;
+                                           featmap[curfeat].first = FD::Convert(featname);
+                                           BEGIN(JSONVAL);
+                                         }
+<STRING>{UNESCAPED_CH}                   { featname[spos++] = yytext[0]; }
+<STRING>\\\"                             { featname[spos++] = '"'; }
+<STRING>\\\\                             { featname[spos++] = '\\'; }
+<STRING>\\\/                             { featname[spos++] = '/'; }
+<STRING>\\b                              { }
+<STRING>\\f                              { }
+<STRING>\\n                              { }
+<STRING>\\r                              { }
+<STRING>\\t                              { }
+<STRING>\\u{HEX_D}{HEX_D}{HEX_D}{HEX_D}  { abort();
+                                         }
+
+<JSONVAL>{WS}*:{WS}*                     { BEGIN(DOUBLE); }
+<DOUBLE>{DOUBLE}                         { featmap[curfeat++].second = strtod(yytext, 0);
+                                           BEGIN(POSTVAL); }
+
+<POSTVAL>{WS}*,{WS}*                     { BEGIN(PREVAL); }
+<POSTVAL>{WS}*{RCB}\n*                   {
+                                           const SparseVector<float> x(&featmap[0], &featmap[curfeat]);
+                                           json_fmap_callback(instid, x, json_fmap_callback_extra);
+                                           curfeat = 0;
+                                           BEGIN(INITIAL);
+                                         }
+
+<PREVAL,POSTVAL,DOUBLE,JSONVAL,INITIAL>. { std::cerr << "bad input: " << yytext << std::endl; abort(); }
+
+%%
+
+void JSONFeatureMapLexer::ReadRules(std::istream* in, FeatureMapCallback func, void* extra) {
+  json_fmap_callback = func;
+  json_fmap_callback_extra = extra;
+  jfmap_stream = in;
+  json_fmap_yylex();
+}
+
+#if 0
+void cb(const std::string& id, const SparseVector<float>& fmap, void* extra) {
+  (void) extra;
+  static int cc = 0;
+  cc++;
+}
+
+int main() {
+  JSONFeatureMapLexer::ReadRules(&std::cin, cb, NULL);
+}
+#endif
+
diff --git a/creg/test_data/auto-mpg.testfeat b/creg/test_data/auto-mpg.testfeat
new file mode 100644
index 00000000..91c21e99
--- /dev/null
+++ b/creg/test_data/auto-mpg.testfeat
@@ -0,0 +1,93 @@
+test1_fiat_124b	{"horsepower": 76.0, "acceleration": 14.5, "cylinders": 4.0, "displacement": 88.0, "weight": 2065.0}
+test2_dodge_aspen	{"horsepower": 110.0, "acceleration": 18.7, "cylinders": 6.0, "displacement": 225.0, "weight": 3620.0}
+test3_toyota_celica_gt_liftback	{"horsepower": 95.0, "acceleration": 14.8, "cylinders": 4.0, "displacement": 134.0, "weight": 2515.0}
+test4_amc_matador	{"horsepower": 110.0, "acceleration": 18.0, "cylinders": 6.0, "displacement": 258.0, "weight": 3632.0}
+test5_audi_5000s_(diesel)	{"horsepower": 67.0, "acceleration": 19.9, "cylinders": 5.0, "displacement": 121.0, "weight": 2950.0}
+test6_datsun_310	{"horsepower": 65.0, "acceleration": 16.4, "cylinders": 4.0, "displacement": 86.0, "weight": 2019.0}
+test7_chevrolet_woody	{"horsepower": 60.0, "acceleration": 22.1, "cylinders": 4.0, "displacement": 98.0, "weight": 2164.0}
+test8_volkswagen_1131_deluxe_sedan	{"horsepower": 46.0, "acceleration": 20.5, "cylinders": 4.0, "displacement": 97.0, "weight": 1835.0}
+test9_plymouth_satellite_sebring	{"horsepower": 105.0, "acceleration": 16.5, "cylinders": 6.0, "displacement": 225.0, "weight": 3613.0}
+test10_amc_matador	{"horsepower": 120.0, "acceleration": 13.9, "cylinders": 8.0, "displacement": 304.0, "weight": 3962.0}
+test11_chevrolet_chevette	{"horsepower": 52.0, "acceleration": 22.2, "cylinders": 4.0, "displacement": 85.0, "weight": 2035.0}
+test12_buick_century_special	{"horsepower": 105.0, "acceleration": 15.8, "cylinders": 6.0, "displacement": 231.0, "weight": 3380.0}
+test13_ford_escort_2h	{"horsepower": 65.0, "acceleration": 20.7, "cylinders": 4.0, "displacement": 98.0, "weight": 2380.0}
+test14_ford_torino_500	{"horsepower": 88.0, "acceleration": 15.5, "cylinders": 6.0, "displacement": 250.0, "weight": 3302.0}
+test15_dodge_aries_wagon_(sw)	{"horsepower": 92.0, "acceleration": 14.4, "cylinders": 4.0, "displacement": 156.0, "weight": 2620.0}
+test16_plymouth_valiant	{"horsepower": 105.0, "acceleration": 16.5, "cylinders": 6.0, "displacement": 225.0, "weight": 3121.0}
+test17_amc_pacer	{"horsepower": 90.0, "acceleration": 17.0, "cylinders": 6.0, "displacement": 232.0, "weight": 3211.0}
+test18_honda_civic	{"horsepower": 97.0, "acceleration": 15.0, "cylinders": 4.0, "displacement": 120.0, "weight": 2489.0}
+test19_ford_ltd	{"horsepower": 148.0, "acceleration": 13.5, "cylinders": 8.0, "displacement": 351.0, "weight": 4657.0}
+test20_volkswagen_rabbit	{"horsepower": 70.0, "acceleration": 14.0, "cylinders": 4.0, "displacement": 90.0, "weight": 1937.0}
+test21_honda_civic_1500_gl	{"horsepower": 67.0, "acceleration": 13.8, "cylinders": 4.0, "displacement": 91.0, "weight": 1850.0}
+test22_chevrolet_impala	{"horsepower": 165.0, "acceleration": 12.0, "cylinders": 8.0, "displacement": 350.0, "weight": 4209.0}
+test23_chevrolet_chevette	{"horsepower": 63.0, "acceleration": 17.0, "cylinders": 4.0, "displacement": 98.0, "weight": 2051.0}
+test24_amc_concord	{"horsepower": 90.0, "acceleration": 17.2, "cylinders": 6.0, "displacement": 232.0, "weight": 3210.0}
+test25_ford_pinto	{"horsepower": 83.0, "acceleration": 17.0, "cylinders": 4.0, "displacement": 140.0, "weight": 2639.0}
+test26_ford_country_squire_(sw)	{"horsepower": 142.0, "acceleration": 14.3, "cylinders": 8.0, "displacement": 351.0, "weight": 4054.0}
+test27_plymouth_valiant_custom	{"horsepower": 95.0, "acceleration": 16.0, "cylinders": 6.0, "displacement": 225.0, "weight": 3264.0}
+test28_chevy_s-10	{"horsepower": 82.0, "acceleration": 19.4, "cylinders": 4.0, "displacement": 119.0, "weight": 2720.0}
+test29_maxda_rx3	{"horsepower": 90.0, "acceleration": 13.5, "cylinders": 3.0, "displacement": 70.0, "weight": 2124.0}
+test30_plymouth_sapporo	{"horsepower": 105.0, "acceleration": 16.7, "cylinders": 4.0, "displacement": 156.0, "weight": 2745.0}
+test31_amc_hornet	{"horsepower": 90.0, "acceleration": 17.6, "cylinders": 6.0, "displacement": 232.0, "weight": 3085.0}
+test32_chevrolet_caprice_classic	{"horsepower": 145.0, "acceleration": 12.5, "cylinders": 8.0, "displacement": 305.0, "weight": 3880.0}
+test33_pontiac_sunbird_coupe	{"horsepower": 88.0, "acceleration": 16.0, "cylinders": 4.0, "displacement": 151.0, "weight": 2740.0}
+test34_mercury_marquis_brougham	{"horsepower": 198.0, "acceleration": 11.5, "cylinders": 8.0, "displacement": 429.0, "weight": 4952.0}
+test35_mercury_monarch_ghia	{"horsepower": 139.0, "acceleration": 12.8, "cylinders": 8.0, "displacement": 302.0, "weight": 3570.0}
+test36_ford_country_squire_(sw)	{"horsepower": 170.0, "acceleration": 12.0, "cylinders": 8.0, "displacement": 400.0, "weight": 4746.0}
+test37_audi_fox	{"horsepower": 83.0, "acceleration": 16.5, "cylinders": 4.0, "displacement": 98.0, "weight": 2219.0}
+test38_triumph_tr7_coupe	{"horsepower": 88.0, "acceleration": 15.1, "cylinders": 4.0, "displacement": 122.0, "weight": 2500.0}
+test39_dodge_d100	{"horsepower": 150.0, "acceleration": 14.0, "cylinders": 8.0, "displacement": 318.0, "weight": 3755.0}
+test40_mercury_cougar_brougham	{"horsepower": 130.0, "acceleration": 14.9, "cylinders": 8.0, "displacement": 302.0, "weight": 4295.0}
+test41_pontiac_phoenix_lj	{"horsepower": 105.0, "acceleration": 19.2, "cylinders": 6.0, "displacement": 231.0, "weight": 3535.0}
+test42_vw_rabbit_custom	{"horsepower": 71.0, "acceleration": 14.0, "cylinders": 4.0, "displacement": 89.0, "weight": 1925.0}
+test43_peugeot_504	{"horsepower": 87.0, "acceleration": 17.5, "cylinders": 4.0, "displacement": 110.0, "weight": 2672.0}
+test44_datsun_310_gx	{"horsepower": 67.0, "acceleration": 16.2, "cylinders": 4.0, "displacement": 91.0, "weight": 1995.0}
+test45_dodge_monaco_(sw)	{"horsepower": 180.0, "acceleration": 11.5, "cylinders": 8.0, "displacement": 383.0, "weight": 4955.0}
+test46_chevrolet_monza_2+2	{"horsepower": 110.0, "acceleration": 13.5, "cylinders": 8.0, "displacement": 262.0, "weight": 3221.0}
+test47_capri_ii	{"horsepower": 92.0, "acceleration": 14.9, "cylinders": 4.0, "displacement": 140.0, "weight": 2572.0}
+test48_mazda_rx2_coupe	{"horsepower": 97.0, "acceleration": 13.5, "cylinders": 3.0, "displacement": 70.0, "weight": 2330.0}
+test49_plymouth_fury	{"horsepower": 95.0, "acceleration": 19.0, "cylinders": 6.0, "displacement": 225.0, "weight": 3785.0}
+test50_plymouth_fury_iii	{"horsepower": 215.0, "acceleration": 8.5, "cylinders": 8.0, "displacement": 440.0, "weight": 4312.0}
+test51_dodge_st._regis	{"horsepower": 135.0, "acceleration": 15.2, "cylinders": 8.0, "displacement": 318.0, "weight": 3830.0}
+test52_amc_spirit_dl	{"horsepower": 80.0, "acceleration": 15.0, "cylinders": 4.0, "displacement": 121.0, "weight": 2670.0}
+test53_peugeot_504_(sw)	{"horsepower": 87.0, "acceleration": 19.5, "cylinders": 4.0, "displacement": 120.0, "weight": 2979.0}
+test54_chevroelt_chevelle_malibu	{"horsepower": 105.0, "acceleration": 18.5, "cylinders": 6.0, "displacement": 250.0, "weight": 3897.0}
+test55_opel_1900	{"horsepower": 90.0, "acceleration": 14.0, "cylinders": 4.0, "displacement": 116.0, "weight": 2123.0}
+test56_dodge_challenger_se	{"horsepower": 170.0, "acceleration": 10.0, "cylinders": 8.0, "displacement": 383.0, "weight": 3563.0}
+test57_vw_pickup	{"horsepower": 52.0, "acceleration": 24.6, "cylinders": 4.0, "displacement": 97.0, "weight": 2130.0}
+test58_peugeot_604sl	{"horsepower": 133.0, "acceleration": 15.8, "cylinders": 6.0, "displacement": 163.0, "weight": 3410.0}
+test59_mazda_glc_4	{"horsepower": 68.0, "acceleration": 16.0, "cylinders": 4.0, "displacement": 91.0, "weight": 1985.0}
+test60_audi_4000	{"horsepower": 78.0, "acceleration": 15.8, "cylinders": 4.0, "displacement": 97.0, "weight": 2188.0}
+test61_plymouth_duster	{"horsepower": 95.0, "acceleration": 16.5, "cylinders": 6.0, "displacement": 198.0, "weight": 3102.0}
+test62_dodge_magnum_xe	{"horsepower": 140.0, "acceleration": 13.7, "cylinders": 8.0, "displacement": 318.0, "weight": 4080.0}
+test63_buick_century_limited	{"horsepower": 110.0, "acceleration": 16.4, "cylinders": 6.0, "displacement": 181.0, "weight": 2945.0}
+test64_chevrolet_monte_carlo_s	{"horsepower": 145.0, "acceleration": 13.0, "cylinders": 8.0, "displacement": 350.0, "weight": 4082.0}
+test65_amc_matador	{"horsepower": 150.0, "acceleration": 11.5, "cylinders": 8.0, "displacement": 304.0, "weight": 3672.0}
+test66_honda_accord	{"horsepower": 75.0, "acceleration": 14.5, "cylinders": 4.0, "displacement": 107.0, "weight": 2205.0}
+test67_plymouth_volare	{"horsepower": 100.0, "acceleration": 17.2, "cylinders": 6.0, "displacement": 225.0, "weight": 3430.0}
+test68_ford_galaxie_500	{"horsepower": 198.0, "acceleration": 10.0, "cylinders": 8.0, "displacement": 429.0, "weight": 4341.0}
+test69_chevrolet_citation	{"horsepower": 110.0, "acceleration": 12.6, "cylinders": 6.0, "displacement": 173.0, "weight": 2725.0}
+test70_amc_ambassador_sst	{"horsepower": 150.0, "acceleration": 11.5, "cylinders": 8.0, "displacement": 304.0, "weight": 3672.0}
+test71_ford_thunderbird	{"horsepower": 149.0, "acceleration": 14.5, "cylinders": 8.0, "displacement": 351.0, "weight": 4335.0}
+test72_pontiac_phoenix	{"horsepower": 90.0, "acceleration": 13.2, "cylinders": 4.0, "displacement": 151.0, "weight": 2556.0}
+test73_vw_rabbit	{"horsepower": 76.0, "acceleration": 14.7, "cylinders": 4.0, "displacement": 98.0, "weight": 2144.0}
+test74_bmw_2002	{"horsepower": 113.0, "acceleration": 12.5, "cylinders": 4.0, "displacement": 121.0, "weight": 2234.0}
+test75_dodge_colt	{"horsepower": 105.0, "acceleration": 14.4, "cylinders": 4.0, "displacement": 156.0, "weight": 2800.0}
+test76_mercury_capri_2000	{"horsepower": 86.0, "acceleration": 14.0, "cylinders": 4.0, "displacement": 122.0, "weight": 2220.0}
+test77_ford_galaxie_500	{"horsepower": 153.0, "acceleration": 13.5, "cylinders": 8.0, "displacement": 351.0, "weight": 4154.0}
+test78_volkswagen_rabbit_custom_diesel	{"horsepower": 48.0, "acceleration": 21.5, "cylinders": 4.0, "displacement": 90.0, "weight": 1985.0}
+test79_dodge_aspen_se	{"horsepower": 100.0, "acceleration": 17.7, "cylinders": 6.0, "displacement": 225.0, "weight": 3651.0}
+test80_mazda_glc_deluxe	{"horsepower": 52.0, "acceleration": 19.4, "cylinders": 4.0, "displacement": 78.0, "weight": 1985.0}
+test81_mazda_glc_custom	{"horsepower": 68.0, "acceleration": 17.6, "cylinders": 4.0, "displacement": 91.0, "weight": 1970.0}
+test82_audi_100ls	{"horsepower": 91.0, "acceleration": 14.0, "cylinders": 4.0, "displacement": 114.0, "weight": 2582.0}
+test83_oldsmobile_delta_88_royale	{"horsepower": 160.0, "acceleration": 13.5, "cylinders": 8.0, "displacement": 350.0, "weight": 4456.0}
+test84_ford_gran_torino	{"horsepower": 137.0, "acceleration": 14.5, "cylinders": 8.0, "displacement": 302.0, "weight": 4042.0}
+test85_plymouth_cricket	{"horsepower": 70.0, "acceleration": 20.5, "cylinders": 4.0, "displacement": 91.0, "weight": 1955.0}
+test86_plymouth_fury_iii	{"horsepower": 150.0, "acceleration": 13.0, "cylinders": 8.0, "displacement": 318.0, "weight": 4096.0}
+test87_plymouth_horizon	{"horsepower": 70.0, "acceleration": 13.2, "cylinders": 4.0, "displacement": 105.0, "weight": 2200.0}
+test88_peugeot_504	{"horsepower": 88.0, "acceleration": 21.9, "cylinders": 4.0, "displacement": 120.0, "weight": 3270.0}
+test89_dodge_dart_custom	{"horsepower": 150.0, "acceleration": 11.0, "cylinders": 8.0, "displacement": 318.0, "weight": 3399.0}
+test90_pontiac_j2000_se_hatchback	{"horsepower": 85.0, "acceleration": 16.2, "cylinders": 4.0, "displacement": 112.0, "weight": 2575.0}
+test91_toyota_starlet	{"horsepower": 58.0, "acceleration": 16.9, "cylinders": 4.0, "displacement": 79.0, "weight": 1755.0}
+test92_mazda_glc_custom_l	{"horsepower": 68.0, "acceleration": 18.2, "cylinders": 4.0, "displacement": 91.0, "weight": 2025.0}
+test93_fiat_124_tc	{"horsepower": 75.0, "acceleration": 14.0, "cylinders": 4.0, "displacement": 116.0, "weight": 2246.0}
diff --git a/creg/test_data/auto-mpg.testresp b/creg/test_data/auto-mpg.testresp
new file mode 100644
index 00000000..4f2cad37
--- /dev/null
+++ b/creg/test_data/auto-mpg.testresp
@@ -0,0 +1,93 @@
+test1_fiat_124b	30.0
+test2_dodge_aspen	18.6
+test3_toyota_celica_gt_liftback	21.1
+test4_amc_matador	16.0
+test5_audi_5000s_(diesel)	36.4
+test6_datsun_310	37.2
+test7_chevrolet_woody	24.5
+test8_volkswagen_1131_deluxe_sedan	26.0
+test9_plymouth_satellite_sebring	18.0
+test10_amc_matador	15.5
+test11_chevrolet_chevette	29.0
+test12_buick_century_special	20.6
+test13_ford_escort_2h	29.9
+test14_ford_torino_500	19.0
+test15_dodge_aries_wagon_(sw)	25.8
+test16_plymouth_valiant	18.0
+test17_amc_pacer	19.0
+test18_honda_civic	24.0
+test19_ford_ltd	14.0
+test20_volkswagen_rabbit	29.0
+test21_honda_civic_1500_gl	44.6
+test22_chevrolet_impala	14.0
+test23_chevrolet_chevette	30.5
+test24_amc_concord	19.4
+test25_ford_pinto	23.0
+test26_ford_country_squire_(sw)	15.5
+test27_plymouth_valiant_custom	19.0
+test28_chevy_s-10	31.0
+test29_maxda_rx3	18.0
+test30_plymouth_sapporo	23.2
+test31_amc_hornet	22.5
+test32_chevrolet_caprice_classic	17.5
+test33_pontiac_sunbird_coupe	24.5
+test34_mercury_marquis_brougham	12.0
+test35_mercury_monarch_ghia	20.2
+test36_ford_country_squire_(sw)	13.0
+test37_audi_fox	29.0
+test38_triumph_tr7_coupe	35.0
+test39_dodge_d100	13.0
+test40_mercury_cougar_brougham	15.0
+test41_pontiac_phoenix_lj	19.2
+test42_vw_rabbit_custom	31.9
+test43_peugeot_504	25.0
+test44_datsun_310_gx	38.0
+test45_dodge_monaco_(sw)	12.0
+test46_chevrolet_monza_2+2	20.0
+test47_capri_ii	25.0
+test48_mazda_rx2_coupe	19.0
+test49_plymouth_fury	18.0
+test50_plymouth_fury_iii	14.0
+test51_dodge_st._regis	18.2
+test52_amc_spirit_dl	27.4
+test53_peugeot_504_(sw)	21.0
+test54_chevroelt_chevelle_malibu	16.0
+test55_opel_1900	28.0
+test56_dodge_challenger_se	15.0
+test57_vw_pickup	44.0
+test58_peugeot_604sl	16.2
+test59_mazda_glc_4	34.1
+test60_audi_4000	34.3
+test61_plymouth_duster	20.0
+test62_dodge_magnum_xe	17.5
+test63_buick_century_limited	25.0
+test64_chevrolet_monte_carlo_s	15.0
+test65_amc_matador	14.0
+test66_honda_accord	36.0
+test67_plymouth_volare	20.5
+test68_ford_galaxie_500	15.0
+test69_chevrolet_citation	23.5
+test70_amc_ambassador_sst	17.0
+test71_ford_thunderbird	16.0
+test72_pontiac_phoenix	33.5
+test73_vw_rabbit	41.5
+test74_bmw_2002	26.0
+test75_dodge_colt	27.9
+test76_mercury_capri_2000	23.0
+test77_ford_galaxie_500	14.0
+test78_volkswagen_rabbit_custom_diesel	43.1
+test79_dodge_aspen_se	20.0
+test80_mazda_glc_deluxe	32.8
+test81_mazda_glc_custom	31.0
+test82_audi_100ls	20.0
+test83_oldsmobile_delta_88_royale	12.0
+test84_ford_gran_torino	14.0
+test85_plymouth_cricket	26.0
+test86_plymouth_fury_iii	14.0
+test87_plymouth_horizon	34.2
+test88_peugeot_504	19.0
+test89_dodge_dart_custom	15.0
+test90_pontiac_j2000_se_hatchback	31.0
+test91_toyota_starlet	39.1
+test92_mazda_glc_custom_l	37.0
+test93_fiat_124_tc	26.0
diff --git a/creg/test_data/auto-mpg.trainfeat b/creg/test_data/auto-mpg.trainfeat
new file mode 100644
index 00000000..20b87d3f
--- /dev/null
+++ b/creg/test_data/auto-mpg.trainfeat
@@ -0,0 +1,300 @@
+train1_buick_century_350	{"horsepower": 175.0, "acceleration": 13.0, "cylinders": 8.0, "displacement": 350.0, "weight": 4100.0}
+train2_audi_100_ls	{"horsepower": 90.0, "acceleration": 14.5, "cylinders": 4.0, "displacement": 107.0, "weight": 2430.0}
+train3_chrysler_newport_royal	{"horsepower": 190.0, "acceleration": 12.5, "cylinders": 8.0, "displacement": 400.0, "weight": 4422.0}
+train4_mercury_zephyr_6	{"horsepower": 85.0, "acceleration": 18.2, "cylinders": 6.0, "displacement": 200.0, "weight": 2990.0}
+train5_volkswagen_model_111	{"horsepower": 60.0, "acceleration": 19.0, "cylinders": 4.0, "displacement": 97.0, "weight": 1834.0}
+train6_dodge_monaco_brougham	{"horsepower": 145.0, "acceleration": 13.7, "cylinders": 8.0, "displacement": 318.0, "weight": 4140.0}
+train7_mercedes-benz_240d	{"horsepower": 67.0, "acceleration": 21.8, "cylinders": 4.0, "displacement": 146.0, "weight": 3250.0}
+train8_datsun_510_(sw)	{"horsepower": 92.0, "acceleration": 17.0, "cylinders": 4.0, "displacement": 97.0, "weight": 2288.0}
+train9_opel_manta	{"horsepower": 75.0, "acceleration": 15.5, "cylinders": 4.0, "displacement": 116.0, "weight": 2158.0}
+train10_renault_12_(sw)	{"horsepower": 69.0, "acceleration": 18.0, "cylinders": 4.0, "displacement": 96.0, "weight": 2189.0}
+train11_chevrolet_nova	{"horsepower": 100.0, "acceleration": 17.0, "cylinders": 6.0, "displacement": 250.0, "weight": 3336.0}
+train12_plymouth_arrow_gs	{"horsepower": 96.0, "acceleration": 15.5, "cylinders": 4.0, "displacement": 122.0, "weight": 2300.0}
+train13_toyota_mark_ii	{"horsepower": 108.0, "acceleration": 15.5, "cylinders": 6.0, "displacement": 156.0, "weight": 2930.0}
+train14_chevrolet_caprice_classic	{"horsepower": 150.0, "acceleration": 12.0, "cylinders": 8.0, "displacement": 400.0, "weight": 4464.0}
+train15_ford_maverick	{"horsepower": 88.0, "acceleration": 16.5, "cylinders": 6.0, "displacement": 250.0, "weight": 3021.0}
+train16_pontiac_lemans_v6	{"horsepower": 115.0, "acceleration": 15.4, "cylinders": 6.0, "displacement": 231.0, "weight": 3245.0}
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diff --git a/creg/test_data/auto-mpg.trainresp b/creg/test_data/auto-mpg.trainresp
new file mode 100644
index 00000000..ece7fa37
--- /dev/null
+++ b/creg/test_data/auto-mpg.trainresp
@@ -0,0 +1,300 @@
+train1_buick_century_350	13.0
+train2_audi_100_ls	24.0
+train3_chrysler_newport_royal	13.0
+train4_mercury_zephyr_6	19.8
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+train7_mercedes-benz_240d	30.0
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+train11_chevrolet_nova	15.0
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+train16_pontiac_lemans_v6	21.5
+train17_ford_granada_gl	20.2
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+train19_subaru	26.0
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+train26_datsun_210	40.8
+train27_vw_rabbit_c_(diesel)	44.3
+train28_nissan_stanza_xe	36.0
+train29_audi_5000	20.3
+train30_chevrolet_malibu	13.0
+train31_mercury_capri_v6	21.0
+train32_datsun_b210_gx	39.4
+train33_volkswagen_dasher	26.0
+train34_volvo_145e_(sw)	18.0
+train35_chrysler_lebaron_medallion	26.0
+train36_pontiac_catalina	16.0
+train37_toyota_tercel	37.7
+train38_datsun_f-10_hatchback	33.5
+train39_chrysler_lebaron_town_@_country_(sw)	18.5
+train40_buick_century	22.4
+train41_amc_matador_(sw)	15.0
+train42_honda_civic	38.0
+train43_dodge_coronet_custom_(sw)	14.0
+train44_bmw_320i	21.5
+train45_mercury_marquis	11.0
+train46_amc_matador_(sw)	14.0
+train47_ford_ltd	13.0
+train48_toyota_corolla_1200	31.0
+train49_amc_ambassador_brougham	13.0
+train50_ford_galaxie_500	14.0
+train51_amc_concord_d/l	18.1
+train52_amc_matador	18.0
+train53_toyota_corona	24.0
+train54_plymouth_reliant	27.2
+train55_ford_pinto	18.0
+train56_datsun_810	22.0
+train57_fiat_x1.9	31.0
+train58_mercury_zephyr	20.8
+train59_toyota_corolla_1600_(sw)	27.0
+train60_chevrolet_chevette	30.0
+train61_toyota_cressida	25.4
+train62_toyota_corolla	34.0
+train63_datsun_710	24.0
+train64_mercury_grand_marquis	16.5
+train65_plymouth_champ	39.0
+train66_datsun_200-sx	23.9
+train67_chevrolet_nova	18.0
+train68_hi_1200d	9.0
+train69_ford_country	12.0
+train70_plymouth_valiant	22.0
+train71_amc_gremlin	20.0
+train72_ford_pinto_runabout	21.0
+train73_chevrolet_monte_carlo_landau	19.2
+train74_amc_concord_dl_6	20.2
+train75_pontiac_firebird	19.0
+train76_chevrolet_cavalier_2-door	34.0
+train77_mercedes-benz_280s	16.5
+train78_dodge_d200	11.0
+train79_amc_hornet	18.0
+train80_plymouth_reliant	30.0
+train81_amc_hornet	19.0
+train82_toyota_corona_liftback	29.8
+train83_ford_maverick	15.0
+train84_cadillac_eldorado	23.0
+train85_mercury_monarch	15.0
+train86_buick_skylark	20.5
+train87_chevrolet_cavalier	28.0
+train88_chevrolet_vega	20.0
+train89_ford_torino	17.0
+train90_chevrolet_chevelle_malibu	18.0
+train91_toyota_corona	31.0
+train92_buick_opel_isuzu_deluxe	30.0
+train93_volvo_244dl	22.0
+train94_opel_1900	25.0
+train95_peugeot_304	30.0
+train96_toyota_celica_gt	32.0
+train97_buick_estate_wagon_(sw)	16.9
+train98_volvo_245	20.0
+train99_chevrolet_impala	11.0
+train100_chevrolet_bel_air	15.0
+train101_datsun_pl510	27.0
+train102_saab_99gle	21.6
+train103_renault_12tl	27.0
+train104_pontiac_catalina	14.0
+train105_subaru	32.3
+train106_chevrolet_chevette	32.1
+train107_saab_99le	25.0
+train108_amc_rebel_sst	16.0
+train109_ford_gran_torino	16.0
+train110_ford_mustang_ii_2+2	25.5
+train111_ford_pinto	26.0
+train112_toyota_corolla	32.4
+train113_toyota_carina	20.0
+train114_amc_hornet	18.0
+train115_plymouth_horizon_4	34.7
+train116_chevrolet_nova	22.0
+train117_fiat_128	24.0
+train118_dodge_coronet_custom	15.0
+train119_volkswagen_rabbit	29.5
+train120_chevrolet_camaro	27.0
+train121_ford_gran_torino_(sw)	13.0
+train122_subaru_dl	30.0
+train123_mazda_626	31.3
+train124_oldsmobile_cutlass_salon_brougham	23.9
+train125_volvo_144ea	19.0
+train126_plymouth_satellite	18.0
+train127_amc_gremlin	18.0
+train128_chevrolet_malibu_classic_(sw)	19.2
+train129_toyota_corolla	29.0
+train130_buick_skylark_320	15.0
+train131_toyota_corona_mark_ii	24.0
+train132_ford_gran_torino	14.5
+train133_dodge_colt	26.0
+train134_pontiac_ventura_sj	18.5
+train135_oldsmobile_cutlass_ls	26.6
+train136_toyouta_corona_mark_ii_(sw)	23.0
+train137_amc_gremlin	19.0
+train138_chevrolet_malibu	20.5
+train139_oldsmobile_starfire_sx	23.8
+train140_amc_ambassador_dpl	15.0
+train141_volkswagen_scirocco	31.5
+train142_plymouth_satellite_custom_(sw)	14.0
+train143_toyota_corolla_liftback	26.0
+train144_ford_fairmont	26.4
+train145_plymouth_fury_gran_sedan	14.0
+train146_buick_century_luxus_(sw)	13.0
+train147_ford_granada_ghia	18.0
+train148_dodge_charger_2.2	36.0
+train149_chevrolet_concours	17.5
+train150_toyota_corona	27.5
+train151_pontiac_grand_prix_lj	16.0
+train152_dodge_colt_m/m	33.5
+train153_pontiac_astro	23.0
+train154_amc_gremlin	21.0
+train155_fiat_strada_custom	37.3
+train156_toyota_corona_hardtop	24.0
+train157_datsun_b210	31.0
+train158_volkswagen_dasher	30.5
+train159_plymouth_duster	23.0
+train160_mazda_626	31.6
+train161_buick_lesabre_custom	13.0
+train162_chevrolet_monte_carlo	15.0
+train163_peugeot_505s_turbo_diesel	28.1
+train164_datsun_610	22.0
+train165_ford_granada	18.5
+train166_pontiac_grand_prix	16.0
+train167_cadillac_seville	16.5
+train168_amc_concord	24.3
+train169_ford_mustang_gl	27.0
+train170_amc_matador	15.0
+train171_ford_gran_torino_(sw)	14.0
+train172_datsun_510_hatchback	37.0
+train173_dodge_rampage	32.0
+train174_datsun_b-210	32.0
+train175_datsun_210_mpg	37.0
+train176_plymouth_horizon_tc3	34.5
+train177_ford_pinto	19.0
+train178_chrysler_new_yorker_brougham	13.0
+train179_chrysler_cordoba	15.5
+train180_oldsmobile_cutlass_salon_brougham	19.9
+train181_plymouth_satellite_custom	16.0
+train182_maxda_glc_deluxe	34.1
+train183_datsun_1200	35.0
+train184_ford_pinto	26.5
+train185_volkswagen_rabbit_l	36.0
+train186_audi_100ls	23.0
+train187_chevrolet_citation	28.8
+train188_buick_electra_225_custom	12.0
+train189_datsun_200sx	32.9
+train190_dodge_colt_hatchback_custom	35.7
+train191_honda_accord_lx	29.5
+train192_plymouth_custom_suburb	13.0
+train193_toyota_mark_ii	20.0
+train194_oldsmobile_omega_brougham	26.8
+train195_ford_ltd_landau	17.6
+train196_chevy_c10	13.0
+train197_dodge_colt	28.0
+train198_oldsmobile_cutlass_supreme	17.0
+train199_ford_pinto_(sw)	22.0
+train200_chevrolet_vega	25.0
+train201_pontiac_catalina_brougham	14.0
+train202_ford_futura	18.1
+train203_honda_civic	33.0
+train204_ford_mustang	18.0
+train205_chevrolet_vega_(sw)	22.0
+train206_buick_century	17.0
+train207_dodge_aspen	19.1
+train208_subaru_dl	33.8
+train209_plymouth_fury_iii	15.0
+train210_fiat_128	29.0
+train211_volvo_264gl	17.0
+train212_dodge_aries_se	29.0
+train213_datsun_510	27.2
+train214_chevrolet_chevelle_malibu_classic	16.0
+train215_ford_ranger	28.0
+train216_vw_dasher_(diesel)	43.4
+train217_chevy_c20	10.0
+train218_buick_skyhawk	21.0
+train219_peugeot_504	23.0
+train220_ford_f250	10.0
+train221_dodge_diplomat	19.4
+train222_honda_civic_(auto)	32.0
+train223_chevrolet_caprice_classic	17.0
+train224_toyota_corolla_1200	32.0
+train225_plymouth_volare_premier_v8	13.0
+train226_opel_manta	26.0
+train227_mercedes_benz_300d	25.4
+train228_chevrolet_cavalier_wagon	27.0
+train229_vw_rabbit	29.0
+train230_toyota_corolla	32.2
+train231_buick_estate_wagon_(sw)	14.0
+train232_ford_f108	13.0
+train233_oldsmobile_omega	11.0
+train234_oldsmobile_cutlass_ciera_(diesel)	38.0
+train235_chevrolet_impala	14.0
+train236_volkswagen_dasher	25.0
+train237_ford_fairmont_futura	24.0
+train238_datsun_210	31.8
+train239_honda_accord_cvcc	31.5
+train240_mazda_glc	46.6
+train241_chevrolet_citation	28.0
+train242_datsun_810_maxima	24.2
+train243_ford_maverick	21.0
+train244_fiat_124_sport_coupe	26.0
+train245_chevrolet_vega	21.0
+train246_chevrolet_chevelle_malibu_classic	17.5
+train247_buick_skylark	26.6
+train248_renault_5_gtl	36.0
+train249_plymouth_duster	22.0
+train250_buick_regal_sport_coupe_(turbo)	17.7
+train251_mercury_lynx_l	36.0
+train252_dodge_aspen_6	20.6
+train253_oldsmobile_vista_cruiser	12.0
+train254_amc_pacer_d/l	17.5
+train255_ford_fairmont_4	22.3
+train256_chevrolet_chevelle_concours_(sw)	13.0
+train257_honda_accord	32.4
+train258_dodge_colt_hardtop	25.0
+train259_amc_hornet_sportabout_(sw)	18.0
+train260_toyota_corona	25.0
+train261_ford_fiesta	36.1
+train262_datsun_280-zx	32.7
+train263_chevrolet_impala	13.0
+train264_toyota_corolla	28.0
+train265_chevrolet_chevelle_malibu	17.0
+train266_volvo_diesel	30.7
+train267_pontiac_phoenix	27.0
+train268_dodge_colt_(sw)	28.0
+train269_vokswagen_rabbit	29.8
+train270_peugeot_504	27.2
+train271_chevrolet_vega_2300	28.0
+train272_ford_fairmont_(auto)	20.2
+train273_plymouth_grand_fury	16.0
+train274_plymouth_'cuda_340	14.0
+train275_ford_granada_l	22.0
+train276_volkswagen_rabbit_custom	29.0
+train277_honda_civic_cvcc	33.0
+train278_chevrolet_nova_custom	16.0
+train279_honda_civic_cvcc	36.1
+train280_volkswagen_type_3	23.0
+train281_toyota_corolla_tercel	38.1
+train282_datsun_pl510	27.0
+train283_ford_maverick	24.0
+train284_dodge_omni	30.9
+train285_plymouth_volare_custom	19.0
+train286_datsun_710	32.0
+train287_honda_civic_1300	35.1
+train288_saab_99le	24.0
+train289_honda_prelude	33.7
+train290_buick_skylark_limited	28.4
+train291_pontiac_catalina	14.0
+train292_mazda_rx-4	21.5
+train293_volkswagen_super_beetle	26.0
+train294_ford_fairmont_(man)	25.1
+train295_fiat_131	28.0
+train296_ford_escort_4w	34.4
+train297_plymouth_horizon_miser	38.0
+train298_ford_mustang_ii	13.0
+train299_saab_99e	25.0
+train300_fiat_124b	30.0
diff --git a/creg/test_data/iris.testfeat b/creg/test_data/iris.testfeat
new file mode 100644
index 00000000..f7528f81
--- /dev/null
+++ b/creg/test_data/iris.testfeat
@@ -0,0 +1,50 @@
+100	{"sepal-length": 4.9, "sepal-width": 2.5, "petal-length": 4.5, "petal-width": 1.7}
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+105	{"sepal-length": 5.1, "sepal-width": 3.4, "petal-length": 1.5, "petal-width": 0.2}
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diff --git a/creg/test_data/iris.testresp b/creg/test_data/iris.testresp
new file mode 100644
index 00000000..0952e4da
--- /dev/null
+++ b/creg/test_data/iris.testresp
@@ -0,0 +1,50 @@
+100	Iris-virginica
+101	Iris-virginica
+102	Iris-setosa
+103	Iris-setosa
+104	Iris-setosa
+105	Iris-setosa
+106	Iris-versicolor
+107	Iris-versicolor
+108	Iris-setosa
+109	Iris-versicolor
+110	Iris-versicolor
+111	Iris-virginica
+112	Iris-setosa
+113	Iris-versicolor
+114	Iris-setosa
+115	Iris-virginica
+116	Iris-setosa
+117	Iris-versicolor
+118	Iris-virginica
+119	Iris-virginica
+120	Iris-versicolor
+121	Iris-setosa
+122	Iris-setosa
+123	Iris-virginica
+124	Iris-versicolor
+125	Iris-versicolor
+126	Iris-versicolor
+127	Iris-setosa
+128	Iris-virginica
+129	Iris-virginica
+130	Iris-virginica
+131	Iris-versicolor
+132	Iris-versicolor
+133	Iris-versicolor
+134	Iris-setosa
+135	Iris-virginica
+136	Iris-virginica
+137	Iris-versicolor
+138	Iris-setosa
+139	Iris-virginica
+140	Iris-virginica
+141	Iris-virginica
+142	Iris-versicolor
+143	Iris-setosa
+144	Iris-setosa
+145	Iris-setosa
+146	Iris-versicolor
+147	Iris-virginica
+148	Iris-virginica
+149	Iris-virginica
diff --git a/creg/test_data/iris.trainfeat b/creg/test_data/iris.trainfeat
new file mode 100644
index 00000000..a930a446
--- /dev/null
+++ b/creg/test_data/iris.trainfeat
@@ -0,0 +1,100 @@
+0	{"sepal-length": 5.4, "sepal-width": 3.0, "petal-length": 4.5, "petal-width": 1.5}
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+28	{"sepal-length": 5.8, "sepal-width": 2.7, "petal-length": 3.9, "petal-width": 1.2}
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+33	{"sepal-length": 6.4, "sepal-width": 2.7, "petal-length": 5.3, "petal-width": 1.9}
+34	{"sepal-length": 5.8, "sepal-width": 4.0, "petal-length": 1.2, "petal-width": 0.2}
+35	{"sepal-length": 5.2, "sepal-width": 3.4, "petal-length": 1.4, "petal-width": 0.2}
+36	{"sepal-length": 7.6, "sepal-width": 3.0, "petal-length": 6.6, "petal-width": 2.1}
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+38	{"sepal-length": 6.0, "sepal-width": 2.2, "petal-length": 4.0, "petal-width": 1.0}
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+41	{"sepal-length": 6.1, "sepal-width": 2.6, "petal-length": 5.6, "petal-width": 1.4}
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+44	{"sepal-length": 5.1, "sepal-width": 3.3, "petal-length": 1.7, "petal-width": 0.5}
+45	{"sepal-length": 6.3, "sepal-width": 2.8, "petal-length": 5.1, "petal-width": 1.5}
+46	{"sepal-length": 5.0, "sepal-width": 2.0, "petal-length": 3.5, "petal-width": 1.0}
+47	{"sepal-length": 5.1, "sepal-width": 3.8, "petal-length": 1.5, "petal-width": 0.3}
+48	{"sepal-length": 4.9, "sepal-width": 3.1, "petal-length": 1.5, "petal-width": 0.1}
+49	{"sepal-length": 6.1, "sepal-width": 3.0, "petal-length": 4.9, "petal-width": 1.8}
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+56	{"sepal-length": 6.3, "sepal-width": 2.7, "petal-length": 4.9, "petal-width": 1.8}
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+88	{"sepal-length": 6.8, "sepal-width": 3.2, "petal-length": 5.9, "petal-width": 2.3}
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+90	{"sepal-length": 4.8, "sepal-width": 3.1, "petal-length": 1.6, "petal-width": 0.2}
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+95	{"sepal-length": 6.0, "sepal-width": 2.9, "petal-length": 4.5, "petal-width": 1.5}
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+97	{"sepal-length": 5.2, "sepal-width": 4.1, "petal-length": 1.5, "petal-width": 0.1}
+98	{"sepal-length": 5.6, "sepal-width": 2.9, "petal-length": 3.6, "petal-width": 1.3}
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diff --git a/creg/test_data/iris.trainresp b/creg/test_data/iris.trainresp
new file mode 100644
index 00000000..d77bc6a2
--- /dev/null
+++ b/creg/test_data/iris.trainresp
@@ -0,0 +1,100 @@
+0	Iris-versicolor
+1	Iris-setosa
+2	Iris-setosa
+3	Iris-versicolor
+4	Iris-virginica
+5	Iris-virginica
+6	Iris-versicolor
+7	Iris-virginica
+8	Iris-versicolor
+9	Iris-versicolor
+10	Iris-versicolor
+11	Iris-versicolor
+12	Iris-versicolor
+13	Iris-virginica
+14	Iris-setosa
+15	Iris-setosa
+16	Iris-virginica
+17	Iris-virginica
+18	Iris-setosa
+19	Iris-setosa
+20	Iris-versicolor
+21	Iris-virginica
+22	Iris-virginica
+23	Iris-setosa
+24	Iris-virginica
+25	Iris-setosa
+26	Iris-setosa
+27	Iris-setosa
+28	Iris-versicolor
+29	Iris-versicolor
+30	Iris-setosa
+31	Iris-versicolor
+32	Iris-setosa
+33	Iris-virginica
+34	Iris-setosa
+35	Iris-setosa
+36	Iris-virginica
+37	Iris-virginica
+38	Iris-versicolor
+39	Iris-virginica
+40	Iris-setosa
+41	Iris-virginica
+42	Iris-virginica
+43	Iris-virginica
+44	Iris-setosa
+45	Iris-virginica
+46	Iris-versicolor
+47	Iris-setosa
+48	Iris-setosa
+49	Iris-virginica
+50	Iris-virginica
+51	Iris-virginica
+52	Iris-versicolor
+53	Iris-versicolor
+54	Iris-setosa
+55	Iris-versicolor
+56	Iris-virginica
+57	Iris-setosa
+58	Iris-virginica
+59	Iris-setosa
+60	Iris-versicolor
+61	Iris-virginica
+62	Iris-versicolor
+63	Iris-virginica
+64	Iris-setosa
+65	Iris-virginica
+66	Iris-versicolor
+67	Iris-virginica
+68	Iris-setosa
+69	Iris-setosa
+70	Iris-versicolor
+71	Iris-setosa
+72	Iris-versicolor
+73	Iris-versicolor
+74	Iris-versicolor
+75	Iris-virginica
+76	Iris-versicolor
+77	Iris-setosa
+78	Iris-versicolor
+79	Iris-versicolor
+80	Iris-setosa
+81	Iris-setosa
+82	Iris-virginica
+83	Iris-virginica
+84	Iris-versicolor
+85	Iris-setosa
+86	Iris-virginica
+87	Iris-versicolor
+88	Iris-virginica
+89	Iris-setosa
+90	Iris-setosa
+91	Iris-versicolor
+92	Iris-virginica
+93	Iris-versicolor
+94	Iris-setosa
+95	Iris-versicolor
+96	Iris-setosa
+97	Iris-setosa
+98	Iris-versicolor
+99	Iris-versicolor
author	Patrick Simianer <simianer@cl.uni-heidelberg.de>	2012-05-14 17:00:45 +0200
committer	Patrick Simianer <simianer@cl.uni-heidelberg.de>	2012-05-14 17:00:45 +0200
commit	7c344de97edac0aa2a6a90c2de9bcf60f15ac000 (patch)
tree	f61bf6ca09d1d0ec6398dd0e8ec7c8e85a5598e7 /creg
parent	d94373453c69c6cfec952a0f7b427cacc78654d8 (diff)
parent	824c96f038b0447ce83ae92cad112a5be49e3330 (diff)