[](https://github.com/titsuki/raku-Algorithm-XGBoost/actions) NAME ==== Algorithm::XGBoost - A Raku bindings for XGBoost ( https://github.com/dmlc/xgboost ). SYNOPSIS ======== ```raku use Algorithm::XGBoost; use Algorithm::XGBoost::Booster; use Algorithm::XGBoost::DMatrix; use Algorithm::XGBoost::Model; # agaricus.txt.test is here: https://github.com/dmlc/xgboost/tree/master/demo/data my $dmat = Algorithm::XGBoost::DMatrix.from-file("agaricus.txt.test"); say $dmat.num-row; # 1611 say $dmat.num-col; # 127 my $model = Algorithm::XGBoost.train($dmat, 10); $model.num-feature.say; # 127 my @test[2;2] = [[0e0,0e0],[0e0,1e0]]; my $test = Algorithm::XGBoost::DMatrix.from-matrix(@test); say $model.predict($test); # (0.9858198761940002 0.9858198761940002) ``` DESCRIPTION =========== Algorithm::XGBoost is a Raku bindings for XGBoost ( https://github.com/dmlc/xgboost ). METHODS ------- ### train Defined as: method train(Algorithm::XGBoost::DMatrix $dmat, Int $num-iteration --> Algorithm::XGBoost::Model) Trains a XGBoost model. * `$dmat` The instance of Algorithm::XGBoost::DMatrix. * `$num-iteration` The number of iterations for training. ### version Defined as: method version(--> Version) Returns the libxgboost version. How to get libxgboost ? ======================= Sorry for inconvenience, current implementation requires manual install: ```bash $ git clone https://github.com/dmlc/xgboost $ cd xgboost $ cmake . $ make $ cd.. $ mkdir -p raku-Algorithm-XGBoost/resources/libraries/ $ cp xgboost/lib/libxgboost.so raku-Algorithm-XGBoost/resources/libraries/ ``` AUTHOR ====== Itsuki Toyota <titsuki@cpan.org> COPYRIGHT AND LICENSE ===================== Copyright 2021 Itsuki Toyota This library is free software; you can redistribute it and/or modify it under the Artistic License 2.0.