16 2,3 4:1.0 5:-0.5 8:0.25 
   27     std::stringstream original_source;
 
   31     features.coeffRef(0, 4) = 1.0;
 
   32     features.coeffRef(0, 5) = -0.5;
 
   33     features.coeffRef(0, 8) = 0.25;
 
   34     features.coeffRef(1, 2) = 1.0;
 
   35     features.coeffRef(2, 6) = -2.0;
 
   36     features.coeffRef(2, 5) = 1.5;
 
   37     features.coeffRef(3, 3) = -3.0;
 
   39     std::vector<std::vector<long>> label_ex(5);
 
   40     label_ex[0].push_back(1);
 
   41     label_ex[1].push_back(3);
 
   42     label_ex[2].push_back(0);
 
   43     label_ex[3].push_back(0);
 
   47     std::stringstream canonical_save;
 
   51     REQUIRE(re_read.get_features()->rows() == features.rows());
 
   52     REQUIRE(re_read.get_features()->cols() == features.cols());
 
   53     CHECK(types::DenseColMajor<real_t>(re_read.get_features()->sparse()) == types::DenseColMajor<real_t>(features));
 
   55     std::stringstream round_trip;
 
   58     CHECK(round_trip.str() == canonical_save.str());
 
building blocks for io procedures that are used by multiple io subsystems
constexpr const char * TEST_FILE
TEST_CASE("xmc round trip")
MultiLabelData read_xmc_dataset(const std::filesystem::path &source, IndexMode mode=IndexMode::ZERO_BASED)
Reads a dataset given in the extreme multilabel classification format.
void save_xmc_dataset(std::ostream &target, const MultiLabelData &data)
Saves the given dataset in XMC format.
Main namespace in which all types, classes, and functions are defined.
types::SparseRowMajor< real_t > SparseFeatures
Sparse Feature Matrix in Row Major format.