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Ticket Summary Owner Type Priority Milestone Component
#1 Checking of write permissions to files in FileIO does not work Jari Häkkinen defect major yat 0.2 utility
#2 Add exceptions to gsl usage Jari Häkkinen request major yat 0.2 gslapi
#4 Split weighted and non-weighted regressors Peter enhancement major yat 0.2 statistics
#5 Does this view work properly Jari Häkkinen request major gslapi
#6 Rework theplu::statistics::AveragerWeighted Peter request major statistics
#7 Document theplu::utility::IO_error Jari Häkkinen defect major yat 0.2 documentation
#8 Member theplu::random::DiscreteUniform::DiscreteUniform (const u_long n) Jari Häkkinen request major yat 0.2 random
#9 theplu::statistics::regression::Local::fit (std::ostream &s, const double fraction, const u_int step_size=1) Peter defect major yat 0.2 statistics
#10 theplu::utility::read_to_double (std::istream &is, std::vector< double > &vec) Jari Häkkinen defect major yat 0.2 utility
#11 random class does not accept seed!!! Jari Häkkinen defect critical yat 0.3 (Public release) random
#12 Implement copy constructor for SVM::KernelView Peter request major classifier
#14 add reset function to SVM Peter enhancement trivial classifier
#15 Copy constructor for SVM Peter enhancement trivial classifier
#17 constness of views do not work ... or do they? Jari Häkkinen defect major yat 0.2 gslapi
#18 const vector matrix::operator*(const vector&) const Jari Häkkinen defect major yat 0.2 utility
#19 Averager.n() return unsigned Peter enhancement minor yat 0.3 (Public release) statistics
#20 implement WilcoxonFoldChange Peter enhancement minor yat 0.5 statistics
#21 General view for vector and matrix Jari Häkkinen enhancement major yat 0.3 (Public release) gslapi
#22 Implement class AveragerPairWeighted Peter enhancement minor statistics
#23 redesign OnedimensionalWeighted Peter request minor yat 0.2 statistics
#24 Averager classes should have constructors taking gslapi::vectors Peter enhancement major yat 0.3 (Public release) statistics
#25 approximative calculation of p-value in Fisher's exact test Peter enhancement minor yat 0.2 statistics
#26 throw exception in statistics::Fisher Peter request minor yat 0.2 statistics
#27 Create Classifier::Ensemble Peter request major classifier
#28 speed up CrossSplitting Peter defect major classifier
#29 NaN in weighted statistics and Score Peter defect critical statistics
#30 ConsensusInputRanker: move CrossSplitting Peter enhancement minor classifier
#33 reimplement ROC::score_weighted Peter enhancement minor yat 0.3 (Public release) statistics
#35 modify interface to CrossSplitting Peter request major classifier
#36 add weights to CrossSplitter Peter defect major classifier
#37 rewrite Weighted Statistics documentation Peter request minor documentation
#38 add weights to SVM (kernel) Peter defect major classifier
#39 Fix NCC Markus Ringnér request major classifier
#40 Feature selection interaction with sampler Peter defect major classifier
#41 averager_test fails using compiler optimization flags Peter defect major statistics
#42 constructor matrix(void), should it exist? Jari Häkkinen request major yat 0.2 gslapi
#43 AveragerPair return 'nan' for some member functions when no data has been added to it. Peter request major yat 0.3 (Public release) classifier
#44 templates for median and percentile should not sort but rather require sorted objects. Peter defect minor yat 0.3 (Public release) statistics
#45 test median functions Peter request minor yat 0.3 (Public release) test
#46 median functions should be coherent Peter defect minor yat 0.3 (Public release) statistics
#47 CrossSplitter::validation_data does not return constant number of samples Peter defect critical classifier
#48 implement SVM::predict Peter request major classifier
#49 ConsensusInputRanker.add(InputRanker) Peter enhancement minor yat 0.3 (Public release) classifier
#50 implement matrix.binary_weight(void) Peter request major classifier
#52 Nan*0 treatment in GaussianKernelFunction Peter defect major yat 0.3 (Public release) classifier
#53 Constructor gslapi::vector(void) Jari Häkkinen defect major yat 0.2 gslapi
#56 SVM convergence problem Peter request trivial yat 0.2 documentation
#57 implement Naive Baysian Classifier Peter request major yat 0.3 (Public release) classifier
#59 NCC should accept external quality weights Markus Ringnér enhancement major yat 0.3 (Public release) classifier
#60 Split CrossSplitter into Sampler and SubSet Peter request major yat 0.2 classifier
#61 add operator[] DataLookup1D Peter enhancement major yat 0.3 (Public release) classifier
#62 add operator[] gslapi::vector Jari Häkkinen request major yat 0.2 gslapi
#63 remove constructor gslapi::vector(DataLookup1D&) Jari Häkkinen defect major yat 0.3 (Public release) gslapi
#64 re-write score functions and Averagers taking vectors Peter enhancement major yat 0.4 statistics
#65 Add brief descriptions to classes Peter request major yat 0.2 documentation
#66 Add GaussianKernelFunction_test Peter request major yat 0.3 (Public release) test
#68 Make weighted statistics document more visible from the trac or docs pages. Peter defect major yat 0.2 documentation
#70 Document ConsensusInputRanker Peter defect major classifier
#71 Test that output from classifier::DataLook1D can be read by gslapi::vector Markus Ringnér defect minor yat 0.3 (Public release) test
#72 Document Kernel class Peter defect minor yat 0.2 documentation
#73 Document KernelLookup Peter defect major documentation
#74 Document MatrixLookup Peter defect major documentation
#75 Doxygen document SupervisedClassifier Peter request major yat 0.4 documentation
#76 gslapi::matrix Jari Häkkinen enhancement major yat 0.2 gslapi
#77 Doxygen document linear regression Peter request major yat 0.2 documentation
#78 Document MultiDimensional Peter request major yat 0.2 documentation
#79 Document statistics::tScore::score() Peter defect major documentation
#80 Change implementation of utility::FileIO::file_exists() Jari Häkkinen defect major yat 0.2 utility
#81 Make the regression classes uniform Peter request major yat 0.2 regression
#83 Change name of the project!! Jari Häkkinen request blocker yat 0.2 classifier
#84 Move gslapi stuff to utility Jari Häkkinen defect blocker yat 0.2 gslapi
#87 replace cumulative hypergeometric with GSL implementation Peter request trivial yat 0.5 statistics
#88 Add SAM Score class Peter request major yat 0.2 statistics
#89 document DataLookup2D Peter request major classifier
#90 rows, columns, and size functions are redundant in Kernel Peter enhancement minor yat 0.3 (Public release) classifier
#91 Parameter class Jari Häkkinen enhancement minor yat 0.3 (Public release) utility
#93 EnsembleBuilder crashes if validate() is called before build() Peter defect minor yat 0.4 classifier
#94 Target.random_shuffle() Peter enhancement critical yat 0.3 (Public release) classifier
#95 ownership in Lookups is not optimal Peter enhancement major yat 0.3 (Public release) classifier
#96 Feature selection should not be part of SupervisedClassifier Peter enhancement critical yat 0.2 classifier
#97 copyright in test source Jari Häkkinen request trivial yat 0.3 (Public release) documentation
#98 is_int("1.2") returns true Markus Ringnér defect minor yat 0.3 (Public release) utility
#99 document CommandLine class Peter request major documentation
#100 gslapi::matrix::nan() Markus Ringnér request major yat 0.2 classifier
#101 separate Score functionality from heavy ammo Peter request minor yat 0.3 (Public release) classifier
#102 bool is_weighted() function in DataLook2D Peter request major yat 0.2 classifier
#103 Sampler should be abstract Peter defect major yat 0.2 classifier
#104 Why state_ in Sampler and SubsetGenerator? Markus Ringnér request minor yat 0.2 classifier
#106 Disconnect SupervisedClassifier from SubsetGenerator Peter request major yat 0.2 classifier
#107 bug in ensemble.build() Peter defect blocker yat 0.2 classifier
#108 dynamic_cast in SubsetGenerator using featureSelection Peter specification major yat 0.2 classifier
#109 weights and FeatureSelector Peter specification minor yat 0.2 classifier
#110 InputRanker interface: MatrixLookup and MatrixLookupWeighted Peter specification major yat 0.2 classifier
#111 DataLookup1DWeighted Peter request major yat 0.2 classifier
#112 Score classes taking DataLookup1DWeighted Peter defect major yat 0.2 classifier
#113 remove feature selection stuff from SupervisedClassifier Peter defect major yat 0.2 classifier
#114 remove feature selection stuff from NCC Peter defect major yat 0.2 classifier
#115 remove feature selection stuff from SVM Peter defect major yat 0.2 classifier
#116 use MatrixLookupWeighted in Kernel Peter request major yat 0.2 classifier
#117 remove temporary interface in InputRanker with two MatrixLookup Peter defect major yat 0.2 classifier
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