23 int const mid = n / 2;
24 for (
int i = 0; i < n; ++i) {
25 ids(i) = (i < mid) ? 0 : 1;
71 ,
y_ids(std::move(ids_in))
79 ,
y_ids(median_split_ids(static_cast<int>(y_vec_in.size())))
81 ,
y_vec(std::move(y_vec_in))
88 ,
y_part(std::move(y_part_in))
89 ,
y_vec(std::move(y_vec_in))
Contiguous-block representation of grouped observations.
Definition GroupPartition.hpp:40
pcg32 RNG
Definition Stats.hpp:24
Definition MockStop.hpp:10
Core numeric type aliases for the ppforest2 library.
Definition Types.hpp:22
Eigen::Matrix< Feature, Eigen::Dynamic, Eigen::Dynamic > FeatureMatrix
Dynamic-size matrix of feature values.
Definition Types.hpp:33
Eigen::Matrix< Outcome, Eigen::Dynamic, 1 > OutcomeVector
Dynamic-size column vector of predictions.
Definition Types.hpp:42
Eigen::Matrix< GroupId, Eigen::Dynamic, 1 > GroupIdVector
Dynamic-size column vector of internal group labels.
Definition Types.hpp:39
Mutable context accumulating intermediate results during node training.
Definition NodeContext.hpp:20
NodeContextFixture(types::FeatureMatrix x_in, types::OutcomeVector y_vec_in)
Definition NodeContextFixture.hpp:77
types::FeatureMatrix x
Definition NodeContextFixture.hpp:62
types::OutcomeVector y_vec
Definition NodeContextFixture.hpp:65
NodeContext ctx
Definition NodeContextFixture.hpp:67
stats::GroupPartition y_part
Definition NodeContextFixture.hpp:64
NodeContextFixture(types::FeatureMatrix x_in, types::GroupIdVector ids_in)
Definition NodeContextFixture.hpp:69
NodeContextFixture(types::FeatureMatrix x_in, stats::GroupPartition y_part_in, types::OutcomeVector y_vec_in)
Definition NodeContextFixture.hpp:85
NodeContextFixture(NodeContextFixture &&)=delete
types::GroupIdVector y_ids
Definition NodeContextFixture.hpp:63
NodeContextFixture & operator=(NodeContextFixture &&)=delete
NodeContextFixture & operator=(NodeContextFixture const &)=delete
stats::RNG rng
Definition NodeContextFixture.hpp:66
NodeContextFixture(NodeContextFixture const &)=delete