remove creg

author: Chris Dyer <cdyer@cab.ark.cs.cmu.edu> 2012-05-26 14:55:38 -0400
committer: Chris Dyer <cdyer@cab.ark.cs.cmu.edu> 2012-05-26 14:55:38 -0400
commit: bf0278b9492d678d8d7f601ea1513b896f2ad105 (patch)
tree: 7fea052c2419f03c17c26833c4bfa964a408ce77
parent: 3d30173d091900794d53f8ea61eb277038ba6a01 (diff)
22 files changed, 3 insertions, 1712 deletions
diff --git a/Jamroot b/Jamroot
index 938a9764..3015c1f3 100644
--- a/Jamroot
+++ b/Jamroot
@@ -31,7 +31,7 @@ project : default-build <warnings>on <variant>release ;
 
 install-bin-libs dpmert//programs utils//programs mteval//programs klm/lm//programs training//liblbfgs decoder//cdec creg//creg phrasinator//programs mira//kbest_mira ;
 
-build-projects mteval decoder dpmert klm/lm training/liblbfgs creg ;
+build-projects mteval decoder dpmert klm/lm training/liblbfgs ;
 
 #Compile everything ending with _test.cc into a test and run it.
 rule all_tests ( targets * : dependencies : properties * ) {
diff --git a/Makefile.am b/Makefile.am
index 0e08ee72..ea5e2b3f 100644
--- a/Makefile.am
+++ b/Makefile.am
@@ -1,7 +1,7 @@
 # warning - the subdirectories in the following list should
 # be kept in topologically sorted order. Also, DO NOT introduce
 # cyclic dependencies between these directories!
-SUBDIRS = utils mteval klm/util klm/lm decoder phrasinator training training/liblbfgs creg mira dtrain dpmert pro-train rampion extools gi/pf gi/markov_al rst_parser
+SUBDIRS = utils mteval klm/util klm/lm decoder phrasinator training training/liblbfgs mira dtrain dpmert pro-train rampion extools gi/pf gi/markov_al rst_parser
 
 #gi/pyp-topics/src gi/clda/src gi/posterior-regularisation/prjava
 
diff --git a/configure.ac b/configure.ac
index 6d2a8c60..0635e8dc 100644
--- a/configure.ac
+++ b/configure.ac
@@ -132,4 +132,4 @@ fi
 
 CPPFLAGS="$CPPFLAGS -DHAVE_CONFIG_H"
 
-AC_OUTPUT(Makefile rst_parser/Makefile utils/Makefile mteval/Makefile extools/Makefile decoder/Makefile phrasinator/Makefile training/Makefile training/liblbfgs/Makefile creg/Makefile dpmert/Makefile pro-train/Makefile rampion/Makefile klm/util/Makefile klm/lm/Makefile mira/Makefile dtrain/Makefile gi/pyp-topics/src/Makefile gi/clda/src/Makefile gi/pf/Makefile gi/markov_al/Makefile)
+AC_OUTPUT(Makefile rst_parser/Makefile utils/Makefile mteval/Makefile extools/Makefile decoder/Makefile phrasinator/Makefile training/Makefile training/liblbfgs/Makefile dpmert/Makefile pro-train/Makefile rampion/Makefile klm/util/Makefile klm/lm/Makefile mira/Makefile dtrain/Makefile gi/pyp-topics/src/Makefile gi/clda/src/Makefile gi/pf/Makefile gi/markov_al/Makefile)
diff --git a/creg/Jamfile b/creg/Jamfile
deleted file mode 100644
index cfed2388..00000000
--- a/creg/Jamfile
+++ /dev/null
@@ -1,6 +0,0 @@
-import lex ;
-
-exe creg : creg.cc json_feature_map_lexer.ll ..//utils ../training//liblbfgs ..//boost_program_options : <include>../training <include>. : <library>..//z ;
-
-alias programs : creg ;
-
diff --git a/creg/Makefile.am b/creg/Makefile.am
deleted file mode 100644
index 9e25b838..00000000
--- a/creg/Makefile.am
+++ /dev/null
@@ -1,11 +0,0 @@
-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
deleted file mode 100644
index 208cabf5..00000000
--- a/creg/README
+++ /dev/null
@@ -1,20 +0,0 @@
-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
-
-Ordinal regression example
-  $ ./creg -o -x test_data/shuttle.trainfeat -y test_data/shuttle.trainresp
-
diff --git a/creg/creg.cc b/creg/creg.cc
deleted file mode 100644
index b145ac49..00000000
--- a/creg/creg.cc
+++ /dev/null
@@ -1,384 +0,0 @@
-#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 << " (key=" << id << ')' << 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
deleted file mode 100644
index 3324aa29..00000000
--- a/creg/json_feature_map_lexer.h
+++ /dev/null
@@ -1,15 +0,0 @@
-#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
deleted file mode 100644
index f9ce7977..00000000
--- a/creg/json_feature_map_lexer.ll
+++ /dev/null
@@ -1,137 +0,0 @@
-%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); }
-
-<JSON>{WS}*{LCB}{WS}*{RCB}\n*            {const SparseVector<float> x;
-                                         json_fmap_callback(instid, x, json_fmap_callback_extra);
-                                         curfeat = 0;
-                                         BEGIN(INITIAL);}
-
-<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}  { uint16_t hex = strtol(&yytext[2], NULL, 16);
-                                           spos += unicode_escape_to_utf8(hex, 0, &featname[spos++])-1;
-                                         }
-
-<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
deleted file mode 100644
index 91c21e99..00000000
--- a/creg/test_data/auto-mpg.testfeat
+++ /dev/null
@@ -1,93 +0,0 @@
-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
deleted file mode 100644
index 4f2cad37..00000000
--- a/creg/test_data/auto-mpg.testresp
+++ /dev/null
@@ -1,93 +0,0 @@
-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
deleted file mode 100644
index 20b87d3f..00000000
--- a/creg/test_data/auto-mpg.trainfeat
+++ /dev/null
@@ -1,300 +0,0 @@
-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}
-train17_ford_granada_gl	{"horsepower": 88.0, "acceleration": 17.1, "cylinders": 6.0, "displacement": 200.0, "weight": 3060.0}
-train18_chevrolet_monte_carlo_landau	{"horsepower": 170.0, "acceleration": 11.4, "cylinders": 8.0, "displacement": 350.0, "weight": 4165.0}
-train19_subaru	{"horsepower": 93.0, "acceleration": 15.5, "cylinders": 4.0, "displacement": 108.0, "weight": 2391.0}
-train20_volkswagen_411_(sw)	{"horsepower": 76.0, "acceleration": 18.0, "cylinders": 4.0, "displacement": 121.0, "weight": 2511.0}
-train21_chrysler_lebaron_salon	{"horsepower": 85.0, "acceleration": 16.6, "cylinders": 6.0, "displacement": 225.0, "weight": 3465.0}
-train22_volkswagen_jetta	{"horsepower": 74.0, "acceleration": 14.2, "cylinders": 4.0, "displacement": 105.0, "weight": 2190.0}
-train23_dodge_coronet_brougham	{"horsepower": 150.0, "acceleration": 13.0, "cylinders": 8.0, "displacement": 318.0, "weight": 4190.0}
-train24_pontiac_safari_(sw)	{"horsepower": 175.0, "acceleration": 12.0, "cylinders": 8.0, "displacement": 400.0, "weight": 5140.0}
-train25_mazda_rx-7_gs	{"horsepower": 100.0, "acceleration": 12.5, "cylinders": 3.0, "displacement": 70.0, "weight": 2420.0}
-train26_datsun_210	{"horsepower": 65.0, "acceleration": 19.2, "cylinders": 4.0, "displacement": 85.0, "weight": 2110.0}
-train27_vw_rabbit_c_(diesel)	{"horsepower": 48.0, "acceleration": 21.7, "cylinders": 4.0, "displacement": 90.0, "weight": 2085.0}
-train28_nissan_stanza_xe	{"horsepower": 88.0, "acceleration": 14.5, "cylinders": 4.0, "displacement": 120.0, "weight": 2160.0}
-train29_audi_5000	{"horsepower": 103.0, "acceleration": 15.9, "cylinders": 5.0, "displacement": 131.0, "weight": 2830.0}
-train30_chevrolet_malibu	{"horsepower": 145.0, "acceleration": 13.0, "cylinders": 8.0, "displacement": 350.0, "weight": 3988.0}
-train31_mercury_capri_v6	{"horsepower": 107.0, "acceleration": 14.0, "cylinders": 6.0, "displacement": 155.0, "weight": 2472.0}
-train32_datsun_b210_gx	{"horsepower": 70.0, "acceleration": 18.6, "cylinders": 4.0, "displacement": 85.0, "weight": 2070.0}
-train33_volkswagen_dasher	{"horsepower": 67.0, "acceleration": 15.5, "cylinders": 4.0, "displacement": 79.0, "weight": 1963.0}
-train34_volvo_145e_(sw)	{"horsepower": 112.0, "acceleration": 14.5, "cylinders": 4.0, "displacement": 121.0, "weight": 2933.0}
-train35_chrysler_lebaron_medallion	{"horsepower": 92.0, "acceleration": 14.5, "cylinders": 4.0, "displacement": 156.0, "weight": 2585.0}
-train36_pontiac_catalina	{"horsepower": 170.0, "acceleration": 11.5, "cylinders": 8.0, "displacement": 400.0, "weight": 4668.0}
-train37_toyota_tercel	{"horsepower": 62.0, "acceleration": 17.3, "cylinders": 4.0, "displacement": 89.0, "weight": 2050.0}
-train38_datsun_f-10_hatchback	{"horsepower": 70.0, "acceleration": 16.8, "cylinders": 4.0, "displacement": 85.0, "weight": 1945.0}
-train39_chrysler_lebaron_town_@_country_(sw)	{"horsepower": 150.0, "acceleration": 13.0, "cylinders": 8.0, "displacement": 360.0, "weight": 3940.0}
-train40_buick_century	{"horsepower": 110.0, "acceleration": 15.8, "cylinders": 6.0, "displacement": 231.0, "weight": 3415.0}
-train41_amc_matador_(sw)	{"horsepower": 150.0, "acceleration": 12.5, "cylinders": 8.0, "displacement": 304.0, "weight": 3892.0}
-train42_honda_civic	{"horsepower": 67.0, "acceleration": 15.0, "cylinders": 4.0, "displacement": 91.0, "weight": 1965.0}
-train43_dodge_coronet_custom_(sw)	{"horsepower": 150.0, "acceleration": 13.5, "cylinders": 8.0, "displacement": 318.0, "weight": 4457.0}
-train44_bmw_320i	{"horsepower": 110.0, "acceleration": 12.8, "cylinders": 4.0, "displacement": 121.0, "weight": 2600.0}
-train45_mercury_marquis	{"horsepower": 208.0, "acceleration": 11.0, "cylinders": 8.0, "displacement": 429.0, "weight": 4633.0}
-train46_amc_matador_(sw)	{"horsepower": 150.0, "acceleration": 15.5, "cylinders": 8.0, "displacement": 304.0, "weight": 4257.0}
-train47_ford_ltd	{"horsepower": 158.0, "acceleration": 13.0, "cylinders": 8.0, "displacement": 351.0, "weight": 4363.0}
-train48_toyota_corolla_1200	{"horsepower": 65.0, "acceleration": 19.0, "cylinders": 4.0, "displacement": 71.0, "weight": 1773.0}
-train49_amc_ambassador_brougham	{"horsepower": 175.0, "acceleration": 11.0, "cylinders": 8.0, "displacement": 360.0, "weight": 3821.0}
-train50_ford_galaxie_500	{"horsepower": 153.0, "acceleration": 13.0, "cylinders": 8.0, "displacement": 351.0, "weight": 4129.0}
-train51_amc_concord_d/l	{"horsepower": 120.0, "acceleration": 15.1, "cylinders": 6.0, "displacement": 258.0, "weight": 3410.0}
-train52_amc_matador	{"horsepower": 100.0, "acceleration": 15.5, "cylinders": 6.0, "displacement": 232.0, "weight": 3288.0}
-train53_toyota_corona	{"horsepower": 96.0, "acceleration": 13.5, "cylinders": 4.0, "displacement": 134.0, "weight": 2702.0}
-train54_plymouth_reliant	{"horsepower": 84.0, "acceleration": 15.7, "cylinders": 4.0, "displacement": 135.0, "weight": 2490.0}
-train55_ford_pinto	{"horsepower": 97.0, "acceleration": 14.5, "cylinders": 6.0, "displacement": 171.0, "weight": 2984.0}
-train56_datsun_810	{"horsepower": 97.0, "acceleration": 14.5, "cylinders": 6.0, "displacement": 146.0, "weight": 2815.0}
-train57_fiat_x1.9	{"horsepower": 67.0, "acceleration": 16.0, "cylinders": 4.0, "displacement": 79.0, "weight": 2000.0}
-train58_mercury_zephyr	{"horsepower": 85.0, "acceleration": 16.7, "cylinders": 6.0, "displacement": 200.0, "weight": 3070.0}
-train59_toyota_corolla_1600_(sw)	{"horsepower": 88.0, "acceleration": 16.5, "cylinders": 4.0, "displacement": 97.0, "weight": 2100.0}
-train60_chevrolet_chevette	{"horsepower": 68.0, "acceleration": 16.5, "cylinders": 4.0, "displacement": 98.0, "weight": 2155.0}
-train61_toyota_cressida	{"horsepower": 116.0, "acceleration": 12.6, "cylinders": 6.0, "displacement": 168.0, "weight": 2900.0}
-train62_toyota_corolla	{"horsepower": 70.0, "acceleration": 16.9, "cylinders": 4.0, "displacement": 108.0, "weight": 2245.0}
-train63_datsun_710	{"horsepower": 97.0, "acceleration": 17.0, "cylinders": 4.0, "displacement": 119.0, "weight": 2545.0}
-train64_mercury_grand_marquis	{"horsepower": 138.0, "acceleration": 13.2, "cylinders": 8.0, "displacement": 351.0, "weight": 3955.0}
-train65_plymouth_champ	{"horsepower": 64.0, "acceleration": 16.4, "cylinders": 4.0, "displacement": 86.0, "weight": 1875.0}
-train66_datsun_200-sx	{"horsepower": 97.0, "acceleration": 14.9, "cylinders": 4.0, "displacement": 119.0, "weight": 2405.0}
-train67_chevrolet_nova	{"horsepower": 105.0, "acceleration": 16.0, "cylinders": 6.0, "displacement": 250.0, "weight": 3459.0}
-train68_hi_1200d	{"horsepower": 193.0, "acceleration": 18.5, "cylinders": 8.0, "displacement": 304.0, "weight": 4732.0}
-train69_ford_country	{"horsepower": 167.0, "acceleration": 12.5, "cylinders": 8.0, "displacement": 400.0, "weight": 4906.0}
-train70_plymouth_valiant	{"horsepower": 100.0, "acceleration": 15.4, "cylinders": 6.0, "displacement": 225.0, "weight": 3233.0}
-train71_amc_gremlin	{"horsepower": 100.0, "acceleration": 16.0, "cylinders": 6.0, "displacement": 232.0, "weight": 2914.0}
-train72_ford_pinto_runabout	{"horsepower": 86.0, "acceleration": 16.5, "cylinders": 4.0, "displacement": 122.0, "weight": 2226.0}
-train73_chevrolet_monte_carlo_landau	{"horsepower": 145.0, "acceleration": 13.2, "cylinders": 8.0, "displacement": 305.0, "weight": 3425.0}
-train74_amc_concord_dl_6	{"horsepower": 90.0, "acceleration": 18.2, "cylinders": 6.0, "displacement": 232.0, "weight": 3265.0}
-train75_pontiac_firebird	{"horsepower": 100.0, "acceleration": 15.0, "cylinders": 6.0, "displacement": 250.0, "weight": 3282.0}
-train76_chevrolet_cavalier_2-door	{"horsepower": 88.0, "acceleration": 18.0, "cylinders": 4.0, "displacement": 112.0, "weight": 2395.0}
-train77_mercedes-benz_280s	{"horsepower": 120.0, "acceleration": 16.7, "cylinders": 6.0, "displacement": 168.0, "weight": 3820.0}
-train78_dodge_d200	{"horsepower": 210.0, "acceleration": 13.5, "cylinders": 8.0, "displacement": 318.0, "weight": 4382.0}
-train79_amc_hornet	{"horsepower": 97.0, "acceleration": 15.5, "cylinders": 6.0, "displacement": 199.0, "weight": 2774.0}
-train80_plymouth_reliant	{"horsepower": 84.0, "acceleration": 12.9, "cylinders": 4.0, "displacement": 135.0, "weight": 2385.0}
-train81_amc_hornet	{"horsepower": 100.0, "acceleration": 16.0, "cylinders": 6.0, "displacement": 232.0, "weight": 2901.0}
-train82_toyota_corona_liftback	{"horsepower": 90.0, "acceleration": 15.5, "cylinders": 4.0, "displacement": 134.0, "weight": 2711.0}
-train83_ford_maverick	{"horsepower": 72.0, "acceleration": 19.5, "cylinders": 6.0, "displacement": 250.0, "weight": 3158.0}
-train84_cadillac_eldorado	{"horsepower": 125.0, "acceleration": 17.4, "cylinders": 8.0, "displacement": 350.0, "weight": 3900.0}
-train85_mercury_monarch	{"horsepower": 72.0, "acceleration": 21.0, "cylinders": 6.0, "displacement": 250.0, "weight": 3432.0}
-train86_buick_skylark	{"horsepower": 105.0, "acceleration": 16.9, "cylinders": 6.0, "displacement": 231.0, "weight": 3425.0}
-train87_chevrolet_cavalier	{"horsepower": 88.0, "acceleration": 19.6, "cylinders": 4.0, "displacement": 112.0, "weight": 2605.0}
-train88_chevrolet_vega	{"horsepower": 90.0, "acceleration": 19.5, "cylinders": 4.0, "displacement": 140.0, "weight": 2408.0}
-train89_ford_torino	{"horsepower": 140.0, "acceleration": 10.5, "cylinders": 8.0, "displacement": 302.0, "weight": 3449.0}
-train90_chevrolet_chevelle_malibu	{"horsepower": 130.0, "acceleration": 12.0, "cylinders": 8.0, "displacement": 307.0, "weight": 3504.0}
-train91_toyota_corona	{"horsepower": 52.0, "acceleration": 16.5, "cylinders": 4.0, "displacement": 76.0, "weight": 1649.0}
-train92_buick_opel_isuzu_deluxe	{"horsepower": 80.0, "acceleration": 14.8, "cylinders": 4.0, "displacement": 111.0, "weight": 2155.0}
-train93_volvo_244dl	{"horsepower": 98.0, "acceleration": 14.5, "cylinders": 4.0, "displacement": 121.0, "weight": 2945.0}
-train94_opel_1900	{"horsepower": 81.0, "acceleration": 16.9, "cylinders": 4.0, "displacement": 116.0, "weight": 2220.0}
-train95_peugeot_304	{"horsepower": 70.0, "acceleration": 19.5, "cylinders": 4.0, "displacement": 79.0, "weight": 2074.0}
-train96_toyota_celica_gt	{"horsepower": 96.0, "acceleration": 13.9, "cylinders": 4.0, "displacement": 144.0, "weight": 2665.0}
-train97_buick_estate_wagon_(sw)	{"horsepower": 155.0, "acceleration": 14.9, "cylinders": 8.0, "displacement": 350.0, "weight": 4360.0}
-train98_volvo_245	{"horsepower": 102.0, "acceleration": 15.7, "cylinders": 4.0, "displacement": 130.0, "weight": 3150.0}
-train99_chevrolet_impala	{"horsepower": 150.0, "acceleration": 14.0, "cylinders": 8.0, "displacement": 400.0, "weight": 4997.0}
-train100_chevrolet_bel_air	{"horsepower": 145.0, "acceleration": 14.0, "cylinders": 8.0, "displacement": 350.0, "weight": 4440.0}
-train101_datsun_pl510	{"horsepower": 88.0, "acceleration": 14.5, "cylinders": 4.0, "displacement": 97.0, "weight": 2130.0}
-train102_saab_99gle	{"horsepower": 115.0, "acceleration": 15.7, "cylinders": 4.0, "displacement": 121.0, "weight": 2795.0}
-train103_renault_12tl	{"horsepower": 83.0, "acceleration": 15.3, "cylinders": 4.0, "displacement": 101.0, "weight": 2202.0}
-train104_pontiac_catalina	{"horsepower": 175.0, "acceleration": 12.0, "cylinders": 8.0, "displacement": 400.0, "weight": 4385.0}
-train105_subaru	{"horsepower": 67.0, "acceleration": 17.8, "cylinders": 4.0, "displacement": 97.0, "weight": 2065.0}
-train106_chevrolet_chevette	{"horsepower": 70.0, "acceleration": 15.5, "cylinders": 4.0, "displacement": 98.0, "weight": 2120.0}
-train107_saab_99le	{"horsepower": 115.0, "acceleration": 13.5, "cylinders": 4.0, "displacement": 121.0, "weight": 2671.0}
-train108_amc_rebel_sst	{"horsepower": 150.0, "acceleration": 12.0, "cylinders": 8.0, "displacement": 304.0, "weight": 3433.0}
-train109_ford_gran_torino	{"horsepower": 140.0, "acceleration": 14.0, "cylinders": 8.0, "displacement": 302.0, "weight": 4141.0}
-train110_ford_mustang_ii_2+2	{"horsepower": 89.0, "acceleration": 15.8, "cylinders": 4.0, "displacement": 140.0, "weight": 2755.0}
-train111_ford_pinto	{"horsepower": 80.0, "acceleration": 16.5, "cylinders": 4.0, "displacement": 122.0, "weight": 2451.0}
-train112_toyota_corolla	{"horsepower": 75.0, "acceleration": 16.8, "cylinders": 4.0, "displacement": 108.0, "weight": 2350.0}
-train113_toyota_carina	{"horsepower": 88.0, "acceleration": 19.0, "cylinders": 4.0, "displacement": 97.0, "weight": 2279.0}
-train114_amc_hornet	{"horsepower": 100.0, "acceleration": 16.0, "cylinders": 6.0, "displacement": 232.0, "weight": 2945.0}
-train115_plymouth_horizon_4	{"horsepower": 63.0, "acceleration": 14.9, "cylinders": 4.0, "displacement": 105.0, "weight": 2215.0}
-train116_chevrolet_nova	{"horsepower": 105.0, "acceleration": 14.5, "cylinders": 6.0, "displacement": 250.0, "weight": 3353.0}
-train117_fiat_128	{"horsepower": 75.0, "acceleration": 15.5, "cylinders": 4.0, "displacement": 90.0, "weight": 2108.0}
-train118_dodge_coronet_custom	{"horsepower": 150.0, "acceleration": 12.5, "cylinders": 8.0, "displacement": 318.0, "weight": 3777.0}
-train119_volkswagen_rabbit	{"horsepower": 71.0, "acceleration": 12.2, "cylinders": 4.0, "displacement": 97.0, "weight": 1825.0}
-train120_chevrolet_camaro	{"horsepower": 90.0, "acceleration": 17.3, "cylinders": 4.0, "displacement": 151.0, "weight": 2950.0}
-train121_ford_gran_torino_(sw)	{"horsepower": 140.0, "acceleration": 16.0, "cylinders": 8.0, "displacement": 302.0, "weight": 4294.0}
-train122_subaru_dl	{"horsepower": 67.0, "acceleration": 16.4, "cylinders": 4.0, "displacement": 97.0, "weight": 1985.0}
-train123_mazda_626	{"horsepower": 75.0, "acceleration": 17.5, "cylinders": 4.0, "displacement": 120.0, "weight": 2542.0}
-train124_oldsmobile_cutlass_salon_brougham	{"horsepower": 90.0, "acceleration": 22.2, "cylinders": 8.0, "displacement": 260.0, "weight": 3420.0}
-train125_volvo_144ea	{"horsepower": 112.0, "acceleration": 15.5, "cylinders": 4.0, "displacement": 121.0, "weight": 2868.0}
-train126_plymouth_satellite	{"horsepower": 150.0, "acceleration": 11.0, "cylinders": 8.0, "displacement": 318.0, "weight": 3436.0}
-train127_amc_gremlin	{"horsepower": 100.0, "acceleration": 15.0, "cylinders": 6.0, "displacement": 232.0, "weight": 2789.0}
-train128_chevrolet_malibu_classic_(sw)	{"horsepower": 125.0, "acceleration": 15.0, "cylinders": 8.0, "displacement": 267.0, "weight": 3605.0}
-train129_toyota_corolla	{"horsepower": 75.0, "acceleration": 16.0, "cylinders": 4.0, "displacement": 97.0, "weight": 2171.0}
-train130_buick_skylark_320	{"horsepower": 165.0, "acceleration": 11.5, "cylinders": 8.0, "displacement": 350.0, "weight": 3693.0}
-train131_toyota_corona_mark_ii	{"horsepower": 95.0, "acceleration": 15.0, "cylinders": 4.0, "displacement": 113.0, "weight": 2372.0}
-train132_ford_gran_torino	{"horsepower": 152.0, "acceleration": 12.8, "cylinders": 8.0, "displacement": 351.0, "weight": 4215.0}
-train133_dodge_colt	{"horsepower": 79.0, "acceleration": 17.7, "cylinders": 4.0, "displacement": 98.0, "weight": 2255.0}
-train134_pontiac_ventura_sj	{"horsepower": 110.0, "acceleration": 16.2, "cylinders": 6.0, "displacement": 250.0, "weight": 3645.0}
-train135_oldsmobile_cutlass_ls	{"horsepower": 105.0, "acceleration": 19.0, "cylinders": 8.0, "displacement": 350.0, "weight": 3725.0}
-train136_toyouta_corona_mark_ii_(sw)	{"horsepower": 97.0, "acceleration": 14.5, "cylinders": 4.0, "displacement": 120.0, "weight": 2506.0}
-train137_amc_gremlin	{"horsepower": 100.0, "acceleration": 13.0, "cylinders": 6.0, "displacement": 232.0, "weight": 2634.0}
-train138_chevrolet_malibu	{"horsepower": 95.0, "acceleration": 18.2, "cylinders": 6.0, "displacement": 200.0, "weight": 3155.0}
-train139_oldsmobile_starfire_sx	{"horsepower": 85.0, "acceleration": 17.6, "cylinders": 4.0, "displacement": 151.0, "weight": 2855.0}
-train140_amc_ambassador_dpl	{"horsepower": 190.0, "acceleration": 8.5, "cylinders": 8.0, "displacement": 390.0, "weight": 3850.0}
-train141_volkswagen_scirocco	{"horsepower": 71.0, "acceleration": 14.9, "cylinders": 4.0, "displacement": 89.0, "weight": 1990.0}
-train142_plymouth_satellite_custom_(sw)	{"horsepower": 150.0, "acceleration": 14.0, "cylinders": 8.0, "displacement": 318.0, "weight": 4077.0}
-train143_toyota_corolla_liftback	{"horsepower": 75.0, "acceleration": 18.2, "cylinders": 4.0, "displacement": 97.0, "weight": 2265.0}
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-train291_pontiac_catalina	{"horsepower": 225.0, "acceleration": 10.0, "cylinders": 8.0, "displacement": 455.0, "weight": 4425.0}
-train292_mazda_rx-4	{"horsepower": 110.0, "acceleration": 13.5, "cylinders": 3.0, "displacement": 80.0, "weight": 2720.0}
-train293_volkswagen_super_beetle	{"horsepower": 46.0, "acceleration": 21.0, "cylinders": 4.0, "displacement": 97.0, "weight": 1950.0}
-train294_ford_fairmont_(man)	{"horsepower": 88.0, "acceleration": 15.4, "cylinders": 4.0, "displacement": 140.0, "weight": 2720.0}
-train295_fiat_131	{"horsepower": 86.0, "acceleration": 15.5, "cylinders": 4.0, "displacement": 107.0, "weight": 2464.0}
-train296_ford_escort_4w	{"horsepower": 65.0, "acceleration": 16.2, "cylinders": 4.0, "displacement": 98.0, "weight": 2045.0}
-train297_plymouth_horizon_miser	{"horsepower": 63.0, "acceleration": 14.7, "cylinders": 4.0, "displacement": 105.0, "weight": 2125.0}
-train298_ford_mustang_ii	{"horsepower": 129.0, "acceleration": 12.0, "cylinders": 8.0, "displacement": 302.0, "weight": 3169.0}
-train299_saab_99e	{"horsepower": 95.0, "acceleration": 17.5, "cylinders": 4.0, "displacement": 104.0, "weight": 2375.0}
-train300_fiat_124b	{"horsepower": 76.0, "acceleration": 14.5, "cylinders": 4.0, "displacement": 88.0, "weight": 2065.0}
diff --git a/creg/test_data/auto-mpg.trainresp b/creg/test_data/auto-mpg.trainresp
deleted file mode 100644
index ece7fa37..00000000
--- a/creg/test_data/auto-mpg.trainresp
+++ /dev/null
@@ -1,300 +0,0 @@
-train1_buick_century_350	13.0
-train2_audi_100_ls	24.0
-train3_chrysler_newport_royal	13.0
-train4_mercury_zephyr_6	19.8
-train5_volkswagen_model_111	27.0
-train6_dodge_monaco_brougham	15.5
-train7_mercedes-benz_240d	30.0
-train8_datsun_510_(sw)	28.0
-train9_opel_manta	24.0
-train10_renault_12_(sw)	26.0
-train11_chevrolet_nova	15.0
-train12_plymouth_arrow_gs	25.5
-train13_toyota_mark_ii	19.0
-train14_chevrolet_caprice_classic	13.0
-train15_ford_maverick	18.0
-train16_pontiac_lemans_v6	21.5
-train17_ford_granada_gl	20.2
-train18_chevrolet_monte_carlo_landau	15.5
-train19_subaru	26.0
-train20_volkswagen_411_(sw)	22.0
-train21_chrysler_lebaron_salon	17.6
-train22_volkswagen_jetta	33.0
-train23_dodge_coronet_brougham	16.0
-train24_pontiac_safari_(sw)	13.0
-train25_mazda_rx-7_gs	23.7
-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
deleted file mode 100644
index f7528f81..00000000
--- a/creg/test_data/iris.testfeat
+++ /dev/null
@@ -1,50 +0,0 @@
-100	{"sepal-length": 4.9, "sepal-width": 2.5, "petal-length": 4.5, "petal-width": 1.7}
-101	{"sepal-length": 6.5, "sepal-width": 3.0, "petal-length": 5.2, "petal-width": 2.0}
-102	{"sepal-length": 4.4, "sepal-width": 3.0, "petal-length": 1.3, "petal-width": 0.2}
-103	{"sepal-length": 5.0, "sepal-width": 3.4, "petal-length": 1.5, "petal-width": 0.2}
-104	{"sepal-length": 5.0, "sepal-width": 3.0, "petal-length": 1.6, "petal-width": 0.2}
-105	{"sepal-length": 5.1, "sepal-width": 3.4, "petal-length": 1.5, "petal-width": 0.2}
-106	{"sepal-length": 5.5, "sepal-width": 2.3, "petal-length": 4.0, "petal-width": 1.3}
-107	{"sepal-length": 5.5, "sepal-width": 2.6, "petal-length": 4.4, "petal-width": 1.2}
-108	{"sepal-length": 5.4, "sepal-width": 3.4, "petal-length": 1.7, "petal-width": 0.2}
-109	{"sepal-length": 5.5, "sepal-width": 2.4, "petal-length": 3.7, "petal-width": 1.0}
-110	{"sepal-length": 6.7, "sepal-width": 3.0, "petal-length": 5.0, "petal-width": 1.7}
-111	{"sepal-length": 6.4, "sepal-width": 2.8, "petal-length": 5.6, "petal-width": 2.2}
-112	{"sepal-length": 5.5, "sepal-width": 4.2, "petal-length": 1.4, "petal-width": 0.2}
-113	{"sepal-length": 5.9, "sepal-width": 3.0, "petal-length": 4.2, "petal-width": 1.5}
-114	{"sepal-length": 4.9, "sepal-width": 3.1, "petal-length": 1.5, "petal-width": 0.1}
-115	{"sepal-length": 7.7, "sepal-width": 2.6, "petal-length": 6.9, "petal-width": 2.3}
-116	{"sepal-length": 5.0, "sepal-width": 3.6, "petal-length": 1.4, "petal-width": 0.2}
-117	{"sepal-length": 6.3, "sepal-width": 2.3, "petal-length": 4.4, "petal-width": 1.3}
-118	{"sepal-length": 6.7, "sepal-width": 3.3, "petal-length": 5.7, "petal-width": 2.1}
-119	{"sepal-length": 5.8, "sepal-width": 2.7, "petal-length": 5.1, "petal-width": 1.9}
-120	{"sepal-length": 5.2, "sepal-width": 2.7, "petal-length": 3.9, "petal-width": 1.4}
-121	{"sepal-length": 5.0, "sepal-width": 3.5, "petal-length": 1.6, "petal-width": 0.6}
-122	{"sepal-length": 5.0, "sepal-width": 3.2, "petal-length": 1.2, "petal-width": 0.2}
-123	{"sepal-length": 6.7, "sepal-width": 3.0, "petal-length": 5.2, "petal-width": 2.3}
-124	{"sepal-length": 5.5, "sepal-width": 2.5, "petal-length": 4.0, "petal-width": 1.3}
-125	{"sepal-length": 5.6, "sepal-width": 3.0, "petal-length": 4.5, "petal-width": 1.5}
-126	{"sepal-length": 6.6, "sepal-width": 3.0, "petal-length": 4.4, "petal-width": 1.4}
-127	{"sepal-length": 5.1, "sepal-width": 3.8, "petal-length": 1.6, "petal-width": 0.2}
-128	{"sepal-length": 5.9, "sepal-width": 3.0, "petal-length": 5.1, "petal-width": 1.8}
-129	{"sepal-length": 6.2, "sepal-width": 3.4, "petal-length": 5.4, "petal-width": 2.3}
-130	{"sepal-length": 5.6, "sepal-width": 2.8, "petal-length": 4.9, "petal-width": 2.0}
-131	{"sepal-length": 5.7, "sepal-width": 2.9, "petal-length": 4.2, "petal-width": 1.3}
-132	{"sepal-length": 6.2, "sepal-width": 2.9, "petal-length": 4.3, "petal-width": 1.3}
-133	{"sepal-length": 6.0, "sepal-width": 3.4, "petal-length": 4.5, "petal-width": 1.6}
-134	{"sepal-length": 5.4, "sepal-width": 3.9, "petal-length": 1.7, "petal-width": 0.4}
-135	{"sepal-length": 6.3, "sepal-width": 3.3, "petal-length": 6.0, "petal-width": 2.5}
-136	{"sepal-length": 6.5, "sepal-width": 3.2, "petal-length": 5.1, "petal-width": 2.0}
-137	{"sepal-length": 5.1, "sepal-width": 2.5, "petal-length": 3.0, "petal-width": 1.1}
-138	{"sepal-length": 4.3, "sepal-width": 3.0, "petal-length": 1.1, "petal-width": 0.1}
-139	{"sepal-length": 5.7, "sepal-width": 2.5, "petal-length": 5.0, "petal-width": 2.0}
-140	{"sepal-length": 6.0, "sepal-width": 2.2, "petal-length": 5.0, "petal-width": 1.5}
-141	{"sepal-length": 6.4, "sepal-width": 3.2, "petal-length": 5.3, "petal-width": 2.3}
-142	{"sepal-length": 6.5, "sepal-width": 2.8, "petal-length": 4.6, "petal-width": 1.5}
-143	{"sepal-length": 5.5, "sepal-width": 3.5, "petal-length": 1.3, "petal-width": 0.2}
-144	{"sepal-length": 4.7, "sepal-width": 3.2, "petal-length": 1.3, "petal-width": 0.2}
-145	{"sepal-length": 4.6, "sepal-width": 3.4, "petal-length": 1.4, "petal-width": 0.3}
-146	{"sepal-length": 5.7, "sepal-width": 2.6, "petal-length": 3.5, "petal-width": 1.0}
-147	{"sepal-length": 5.8, "sepal-width": 2.8, "petal-length": 5.1, "petal-width": 2.4}
-148	{"sepal-length": 7.7, "sepal-width": 2.8, "petal-length": 6.7, "petal-width": 2.0}
-149	{"sepal-length": 6.3, "sepal-width": 2.9, "petal-length": 5.6, "petal-width": 1.8}
diff --git a/creg/test_data/iris.testresp b/creg/test_data/iris.testresp
deleted file mode 100644
index 0952e4da..00000000
--- a/creg/test_data/iris.testresp
+++ /dev/null
@@ -1,50 +0,0 @@
-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
deleted file mode 100644
index a930a446..00000000
--- a/creg/test_data/iris.trainfeat
+++ /dev/null
@@ -1,100 +0,0 @@
-0	{"sepal-length": 5.4, "sepal-width": 3.0, "petal-length": 4.5, "petal-width": 1.5}
-1	{"sepal-length": 5.0, "sepal-width": 3.4, "petal-length": 1.6, "petal-width": 0.4}
-2	{"sepal-length": 5.0, "sepal-width": 3.3, "petal-length": 1.4, "petal-width": 0.2}
-3	{"sepal-length": 5.7, "sepal-width": 2.8, "petal-length": 4.5, "petal-width": 1.3}
-4	{"sepal-length": 6.4, "sepal-width": 3.1, "petal-length": 5.5, "petal-width": 1.8}
-5	{"sepal-length": 7.9, "sepal-width": 3.8, "petal-length": 6.4, "petal-width": 2.0}
-6	{"sepal-length": 5.9, "sepal-width": 3.2, "petal-length": 4.8, "petal-width": 1.8}
-7	{"sepal-length": 6.7, "sepal-width": 2.5, "petal-length": 5.8, "petal-width": 1.8}
-8	{"sepal-length": 6.7, "sepal-width": 3.1, "petal-length": 4.4, "petal-width": 1.4}
-9	{"sepal-length": 6.3, "sepal-width": 2.5, "petal-length": 4.9, "petal-width": 1.5}
-10	{"sepal-length": 6.1, "sepal-width": 2.9, "petal-length": 4.7, "petal-width": 1.4}
-11	{"sepal-length": 6.3, "sepal-width": 3.3, "petal-length": 4.7, "petal-width": 1.6}
-12	{"sepal-length": 6.7, "sepal-width": 3.1, "petal-length": 4.7, "petal-width": 1.5}
-13	{"sepal-length": 6.2, "sepal-width": 2.8, "petal-length": 4.8, "petal-width": 1.8}
-14	{"sepal-length": 5.0, "sepal-width": 3.5, "petal-length": 1.3, "petal-width": 0.3}
-15	{"sepal-length": 5.4, "sepal-width": 3.9, "petal-length": 1.3, "petal-width": 0.4}
-16	{"sepal-length": 7.4, "sepal-width": 2.8, "petal-length": 6.1, "petal-width": 1.9}
-17	{"sepal-length": 7.2, "sepal-width": 3.2, "petal-length": 6.0, "petal-width": 1.8}
-18	{"sepal-length": 5.7, "sepal-width": 3.8, "petal-length": 1.7, "petal-width": 0.3}
-19	{"sepal-length": 4.5, "sepal-width": 2.3, "petal-length": 1.3, "petal-width": 0.3}
-20	{"sepal-length": 5.6, "sepal-width": 3.0, "petal-length": 4.1, "petal-width": 1.3}
-21	{"sepal-length": 6.8, "sepal-width": 3.0, "petal-length": 5.5, "petal-width": 2.1}
-22	{"sepal-length": 6.5, "sepal-width": 3.0, "petal-length": 5.8, "petal-width": 2.2}
-23	{"sepal-length": 4.4, "sepal-width": 3.2, "petal-length": 1.3, "petal-width": 0.2}
-24	{"sepal-length": 6.3, "sepal-width": 2.5, "petal-length": 5.0, "petal-width": 1.9}
-25	{"sepal-length": 4.4, "sepal-width": 2.9, "petal-length": 1.4, "petal-width": 0.2}
-26	{"sepal-length": 4.9, "sepal-width": 3.0, "petal-length": 1.4, "petal-width": 0.2}
-27	{"sepal-length": 5.4, "sepal-width": 3.4, "petal-length": 1.5, "petal-width": 0.4}
-28	{"sepal-length": 5.8, "sepal-width": 2.7, "petal-length": 3.9, "petal-width": 1.2}
-29	{"sepal-length": 5.6, "sepal-width": 2.5, "petal-length": 3.9, "petal-width": 1.1}
-30	{"sepal-length": 5.1, "sepal-width": 3.5, "petal-length": 1.4, "petal-width": 0.3}
-31	{"sepal-length": 5.6, "sepal-width": 2.7, "petal-length": 4.2, "petal-width": 1.3}
-32	{"sepal-length": 5.1, "sepal-width": 3.5, "petal-length": 1.4, "petal-width": 0.2}
-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}
-37	{"sepal-length": 5.8, "sepal-width": 2.7, "petal-length": 5.1, "petal-width": 1.9}
-38	{"sepal-length": 6.0, "sepal-width": 2.2, "petal-length": 4.0, "petal-width": 1.0}
-39	{"sepal-length": 7.7, "sepal-width": 3.0, "petal-length": 6.1, "petal-width": 2.3}
-40	{"sepal-length": 5.1, "sepal-width": 3.7, "petal-length": 1.5, "petal-width": 0.4}
-41	{"sepal-length": 6.1, "sepal-width": 2.6, "petal-length": 5.6, "petal-width": 1.4}
-42	{"sepal-length": 6.7, "sepal-width": 3.1, "petal-length": 5.6, "petal-width": 2.4}
-43	{"sepal-length": 7.7, "sepal-width": 3.8, "petal-length": 6.7, "petal-width": 2.2}
-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}
-50	{"sepal-length": 6.4, "sepal-width": 2.8, "petal-length": 5.6, "petal-width": 2.1}
-51	{"sepal-length": 6.5, "sepal-width": 3.0, "petal-length": 5.5, "petal-width": 1.8}
-52	{"sepal-length": 6.1, "sepal-width": 2.8, "petal-length": 4.7, "petal-width": 1.2}
-53	{"sepal-length": 6.1, "sepal-width": 2.8, "petal-length": 4.0, "petal-width": 1.3}
-54	{"sepal-length": 4.9, "sepal-width": 3.1, "petal-length": 1.5, "petal-width": 0.1}
-55	{"sepal-length": 6.8, "sepal-width": 2.8, "petal-length": 4.8, "petal-width": 1.4}
-56	{"sepal-length": 6.3, "sepal-width": 2.7, "petal-length": 4.9, "petal-width": 1.8}
-57	{"sepal-length": 4.6, "sepal-width": 3.2, "petal-length": 1.4, "petal-width": 0.2}
-58	{"sepal-length": 6.3, "sepal-width": 3.4, "petal-length": 5.6, "petal-width": 2.4}
-59	{"sepal-length": 5.7, "sepal-width": 4.4, "petal-length": 1.5, "petal-width": 0.4}
-60	{"sepal-length": 6.4, "sepal-width": 2.9, "petal-length": 4.3, "petal-width": 1.3}
-61	{"sepal-length": 7.2, "sepal-width": 3.6, "petal-length": 6.1, "petal-width": 2.5}
-62	{"sepal-length": 5.8, "sepal-width": 2.7, "petal-length": 4.1, "petal-width": 1.0}
-63	{"sepal-length": 6.0, "sepal-width": 3.0, "petal-length": 4.8, "petal-width": 1.8}
-64	{"sepal-length": 4.7, "sepal-width": 3.2, "petal-length": 1.6, "petal-width": 0.2}
-65	{"sepal-length": 6.9, "sepal-width": 3.2, "petal-length": 5.7, "petal-width": 2.3}
-66	{"sepal-length": 6.4, "sepal-width": 3.2, "petal-length": 4.5, "petal-width": 1.5}
-67	{"sepal-length": 6.9, "sepal-width": 3.1, "petal-length": 5.4, "petal-width": 2.1}
-68	{"sepal-length": 5.2, "sepal-width": 3.5, "petal-length": 1.5, "petal-width": 0.2}
-69	{"sepal-length": 5.3, "sepal-width": 3.7, "petal-length": 1.5, "petal-width": 0.2}
-70	{"sepal-length": 5.5, "sepal-width": 2.4, "petal-length": 3.8, "petal-width": 1.1}
-71	{"sepal-length": 4.8, "sepal-width": 3.4, "petal-length": 1.9, "petal-width": 0.2}
-72	{"sepal-length": 5.7, "sepal-width": 2.8, "petal-length": 4.1, "petal-width": 1.3}
-73	{"sepal-length": 4.9, "sepal-width": 2.4, "petal-length": 3.3, "petal-width": 1.0}
-74	{"sepal-length": 6.2, "sepal-width": 2.2, "petal-length": 4.5, "petal-width": 1.5}
-75	{"sepal-length": 6.7, "sepal-width": 3.3, "petal-length": 5.7, "petal-width": 2.5}
-76	{"sepal-length": 6.1, "sepal-width": 3.0, "petal-length": 4.6, "petal-width": 1.4}
-77	{"sepal-length": 4.6, "sepal-width": 3.6, "petal-length": 1.0, "petal-width": 0.2}
-78	{"sepal-length": 7.0, "sepal-width": 3.2, "petal-length": 4.7, "petal-width": 1.4}
-79	{"sepal-length": 6.6, "sepal-width": 2.9, "petal-length": 4.6, "petal-width": 1.3}
-80	{"sepal-length": 5.4, "sepal-width": 3.7, "petal-length": 1.5, "petal-width": 0.2}
-81	{"sepal-length": 4.8, "sepal-width": 3.0, "petal-length": 1.4, "petal-width": 0.3}
-82	{"sepal-length": 7.2, "sepal-width": 3.0, "petal-length": 5.8, "petal-width": 1.6}
-83	{"sepal-length": 7.1, "sepal-width": 3.0, "petal-length": 5.9, "petal-width": 2.1}
-84	{"sepal-length": 6.9, "sepal-width": 3.1, "petal-length": 4.9, "petal-width": 1.5}
-85	{"sepal-length": 4.8, "sepal-width": 3.0, "petal-length": 1.4, "petal-width": 0.1}
-86	{"sepal-length": 7.3, "sepal-width": 2.9, "petal-length": 6.3, "petal-width": 1.8}
-87	{"sepal-length": 6.0, "sepal-width": 2.7, "petal-length": 5.1, "petal-width": 1.6}
-88	{"sepal-length": 6.8, "sepal-width": 3.2, "petal-length": 5.9, "petal-width": 2.3}
-89	{"sepal-length": 4.6, "sepal-width": 3.1, "petal-length": 1.5, "petal-width": 0.2}
-90	{"sepal-length": 4.8, "sepal-width": 3.1, "petal-length": 1.6, "petal-width": 0.2}
-91	{"sepal-length": 5.0, "sepal-width": 2.3, "petal-length": 3.3, "petal-width": 1.0}
-92	{"sepal-length": 6.9, "sepal-width": 3.1, "petal-length": 5.1, "petal-width": 2.3}
-93	{"sepal-length": 5.7, "sepal-width": 3.0, "petal-length": 4.2, "petal-width": 1.2}
-94	{"sepal-length": 5.1, "sepal-width": 3.8, "petal-length": 1.9, "petal-width": 0.4}
-95	{"sepal-length": 6.0, "sepal-width": 2.9, "petal-length": 4.5, "petal-width": 1.5}
-96	{"sepal-length": 4.8, "sepal-width": 3.4, "petal-length": 1.6, "petal-width": 0.2}
-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}
-99	{"sepal-length": 5.8, "sepal-width": 2.6, "petal-length": 4.0, "petal-width": 1.2}
diff --git a/creg/test_data/iris.trainresp b/creg/test_data/iris.trainresp
deleted file mode 100644
index d77bc6a2..00000000
--- a/creg/test_data/iris.trainresp
+++ /dev/null
@@ -1,100 +0,0 @@
-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
diff --git a/creg/test_data/shuttle.testfeat b/creg/test_data/shuttle.testfeat
deleted file mode 100644
index 31c07017..00000000
--- a/creg/test_data/shuttle.testfeat
+++ /dev/null
@@ -1 +0,0 @@
-Challenger	{"temp":31, "date":9524}
diff --git a/creg/test_data/shuttle.testresp b/creg/test_data/shuttle.testresp
deleted file mode 100644
index 249e84c7..00000000
--- a/creg/test_data/shuttle.testresp
+++ /dev/null
@@ -1 +0,0 @@
-Challenger	2
diff --git a/creg/test_data/shuttle.trainfeat b/creg/test_data/shuttle.trainfeat
deleted file mode 100644
index c17d0f7f..00000000
--- a/creg/test_data/shuttle.trainfeat
+++ /dev/null
@@ -1,23 +0,0 @@
-1	{"temp":66, "date":7772}
-2	{"temp":70, "date":7986}
-3	{"temp":69, "date":8116}
-5	{"temp":68, "date":8350}
-6	{"temp":67, "date":8494}
-7	{"temp":72, "date":8569}
-8	{"temp":73, "date":8642}
-9	{"temp":70, "date":8732}
-10	{"temp":57, "date":8799}
-11	{"temp":63, "date":8862}
-12	{"temp":70, "date":9008}
-13	{"temp":78, "date":9044}
-14	{"temp":67, "date":9078}
-15	{"temp":53, "date":9155}
-16	{"temp":67, "date":9233}
-17	{"temp":75, "date":9250}
-18	{"temp":70, "date":9299}
-19	{"temp":81, "date":9341}
-20	{"temp":76, "date":9370}
-21	{"temp":79, "date":9407}
-22	{"temp":75, "date":9434}
-23	{"temp":76, "date":9461}
-24	{"temp":58, "date":9508}
diff --git a/creg/test_data/shuttle.trainresp b/creg/test_data/shuttle.trainresp
deleted file mode 100644
index 53e58f2c..00000000
--- a/creg/test_data/shuttle.trainresp
+++ /dev/null
@@ -1,23 +0,0 @@
-1	0
-2	1
-3	0
-5	0
-6	1
-7	0
-8	0
-9	0
-10	1
-11	2
-12	2
-13	0
-14	0
-15	2
-16	2
-17	2
-18	2
-19	1
-20	1
-21	0
-22	2
-23	1
-24	2
diff --git a/mira/kbest_mira.cc b/mira/kbest_mira.cc
index dc0200d6..8b7993dd 100644
--- a/mira/kbest_mira.cc
+++ b/mira/kbest_mira.cc
@@ -5,8 +5,6 @@
 #include <cmath>
 #include <tr1/memory>
 
-#include "config.h"
-
 #include <boost/program_options.hpp>
 #include <boost/program_options/variables_map.hpp>
author	Chris Dyer <cdyer@cab.ark.cs.cmu.edu>	2012-05-26 14:55:38 -0400
committer	Chris Dyer <cdyer@cab.ark.cs.cmu.edu>	2012-05-26 14:55:38 -0400
commit	bf0278b9492d678d8d7f601ea1513b896f2ad105 (patch)
tree	7fea052c2419f03c17c26833c4bfa964a408ce77
parent	3d30173d091900794d53f8ea61eb277038ba6a01 (diff)