Algorithm::XGBoost - A Raku bindings for XGBoost ( https://github.com/dmlc/xgboost ).
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.train");
say $dmat.num-row; # 6513
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); # (0.9858561754226685 0.9858561754226685)Algorithm::XGBoost is a Raku bindings for XGBoost ( https://github.com/dmlc/xgboost ).
Defined as:
method train(Algorithm::XGBoost::DMatrix $dmat, Int $num-iteration --> Algorithm::XGBoost::Model)
Trains a XGBoost model.
-
$dmatThe instance of Algorithm::XGBoost::DMatrix. -
$num-iterationThe number of iterations for training.
Defined as:
method version(--> Version)
Returns the libxgboost version.
Itsuki Toyota titsuki@cpan.org
Copyright 2021 Itsuki Toyota
This library is free software; you can redistribute it and/or modify it under the Artistic License 2.0.