diff options
Diffstat (limited to 'creg')
| -rw-r--r-- | creg/Jamfile | 6 | ||||
| -rw-r--r-- | creg/Makefile.am | 11 | ||||
| -rw-r--r-- | creg/README | 17 | ||||
| -rw-r--r-- | creg/creg.cc | 384 | ||||
| -rw-r--r-- | creg/json_feature_map_lexer.h | 15 | ||||
| -rw-r--r-- | creg/json_feature_map_lexer.ll | 137 | ||||
| -rw-r--r-- | creg/test_data/auto-mpg.testfeat | 93 | ||||
| -rw-r--r-- | creg/test_data/auto-mpg.testresp | 93 | ||||
| -rw-r--r-- | creg/test_data/auto-mpg.trainfeat | 300 | ||||
| -rw-r--r-- | creg/test_data/auto-mpg.trainresp | 300 | ||||
| -rw-r--r-- | creg/test_data/iris.testfeat | 50 | ||||
| -rw-r--r-- | creg/test_data/iris.testresp | 50 | ||||
| -rw-r--r-- | creg/test_data/iris.trainfeat | 100 | ||||
| -rw-r--r-- | creg/test_data/iris.trainresp | 100 |
14 files changed, 0 insertions, 1656 deletions
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 28a71d11..00000000 --- a/creg/README +++ /dev/null @@ -1,17 +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 - 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, 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{"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 |