var searchData=
[
  ['r',['r',['../structforpy_1_1_desk.html#a7974bca3a78a25ea3411e5edba8ec29f',1,'forpy::Desk']]],
  ['random_5fengine',['random_engine',['../structforpy_1_1_random_desk.html#a0e390991c7ea155abf693b1ca8ae520a',1,'forpy::RandomDesk::random_engine()'],['../classforpy_1_1_sampling_without_replacement.html#ab8935c9a91d6974a9501bc51f9b44420',1,'forpy::SamplingWithoutReplacement::random_engine()']]],
  ['random_5fseed',['random_seed',['../classforpy_1_1_forest.html#af46001e2d4aa46ed1ba7986945133ae6',1,'forpy::Forest::random_seed()'],['../classforpy_1_1_tree.html#a6e72e2f34aa0b4cc540c74a66b806e26',1,'forpy::Tree::random_seed()']]],
  ['randomdesk',['RandomDesk',['../structforpy_1_1_random_desk.html',1,'forpy']]],
  ['readme_2emd',['README.md',['../_r_e_a_d_m_e_8md.html',1,'']]],
  ['regint_5ft',['regint_t',['../namespaceforpy.html#a8fb336e98d00a2b1cfd3b18a151b98cf',1,'forpy']]],
  ['regopt_5feps',['REGOPT_EPS',['../namespaceforpy.html#a5d8c9406a3ccb899215b2ca27514e8f9',1,'forpy']]],
  ['regression_5fopt_2eh',['regression_opt.h',['../regression__opt_8h.html',1,'']]],
  ['regressionforest',['RegressionForest',['../classforpy_1_1_regression_forest.html',1,'forpy::RegressionForest'],['../classforpy_1_1_regression_forest.html#a08b6ddda05219816e58e05389e6d500f',1,'forpy::RegressionForest::RegressionForest(const std::string &amp;filename)'],['../classforpy_1_1_regression_forest.html#ac5580a0d2b253cad1fab4ecf2c262b76',1,'forpy::RegressionForest::RegressionForest(const size_t &amp;n_trees=10, const uint &amp;max_depth=std::numeric_limits&lt; uint &gt;::max(), const uint &amp;min_samples_at_leaf=1, const uint &amp;min_samples_at_node=2, const uint &amp;n_valid_features_to_use=0, const bool &amp;autoscale_valid_features=false, const uint &amp;random_seed=1, const size_t &amp;n_thresholds=0, const float &amp;gain_threshold=1E-7f, const bool &amp;store_variance=false, const bool &amp;summarize=false)']]],
  ['regressionleaf',['RegressionLeaf',['../classforpy_1_1_regression_leaf.html',1,'forpy::RegressionLeaf'],['../classforpy_1_1_regression_leaf.html#ac11424dde98d165518ea6410e6726929',1,'forpy::RegressionLeaf::RegressionLeaf()']]],
  ['regressionleaf_2eh',['regressionleaf.h',['../regressionleaf_8h.html',1,'']]],
  ['regressionopt',['RegressionOpt',['../classforpy_1_1_regression_opt.html',1,'forpy::RegressionOpt'],['../classforpy_1_1_regression_opt.html#a4e8f53a86758663dd5285ee15976ed7f',1,'forpy::RegressionOpt::RegressionOpt()']]],
  ['regressiontree',['RegressionTree',['../classforpy_1_1_regression_tree.html',1,'forpy::RegressionTree'],['../classforpy_1_1_regression_tree.html#a467fd3c26ff33153fdf1581712b01bc7',1,'forpy::RegressionTree::RegressionTree(const std::string &amp;filename)'],['../classforpy_1_1_regression_tree.html#ae37839353bf557ac88ee5e14662d0a4f',1,'forpy::RegressionTree::RegressionTree(const uint &amp;max_depth=std::numeric_limits&lt; uint &gt;::max(), const uint &amp;min_samples_at_leaf=1, const uint &amp;min_samples_at_node=2, const uint &amp;n_valid_features_to_use=0, const bool &amp;autoscale_valid_features=false, const uint &amp;random_seed=1, const size_t &amp;n_thresholds=0, const float &amp;gain_threshold=1E-7f, const bool &amp;store_variance=false, const bool &amp;summarize=false)']]],
  ['renyientropy',['RenyiEntropy',['../classforpy_1_1_renyi_entropy.html',1,'forpy::RenyiEntropy'],['../classforpy_1_1_renyi_entropy.html#ae6460c899b7935d0c0ac68fe3c4f085d',1,'forpy::RenyiEntropy::RenyiEntropy(const float &amp;alpha)'],['../classforpy_1_1_renyi_entropy.html#a8b6aaf24605f1a3ac46c2b8601eae583',1,'forpy::RenyiEntropy::RenyiEntropy()']]],
  ['renyientropy_2eh',['renyientropy.h',['../renyientropy_8h.html',1,'']]],
  ['reset',['reset',['../structforpy_1_1_tree_desk.html#a7484bf57a80becd00662e478809b906c',1,'forpy::TreeDesk::reset()'],['../structforpy_1_1_decider_desk.html#a22a591579b7ffeee3a3cf802ec28a267',1,'forpy::DeciderDesk::reset()'],['../structforpy_1_1_leaf_desk.html#a57558adac185f9beab0bda6a99bcbc94',1,'forpy::LeafDesk::reset()'],['../structforpy_1_1_random_desk.html#aff9d16f55626f7e71e288467ea58228e',1,'forpy::RandomDesk::reset()'],['../structforpy_1_1_desk.html#a2fbf32e58f1d4b04d567962a4f62612e',1,'forpy::Desk::reset()']]],
  ['resize',['resize',['../classforpy_1_1threading_1_1thread__pool.html#a7b5bf432e02e622a42afb66d64b60f58',1,'forpy::threading::thread_pool']]],
  ['right_5fid',['right_id',['../structforpy_1_1_decider_desk.html#acb035dfaa03d4f0becdf95b0651e9c3c',1,'forpy::DeciderDesk']]],
  ['right_5fint',['right_int',['../structforpy_1_1_decider_desk.html#a73de6ee3d40b2f02955cb2118ee5d391',1,'forpy::DeciderDesk']]]
];
