NAME

Algorithm::XGBoost - A Raku bindings for XGBoost ( https://github.com/dmlc/xgboost ).

SYNOPSIS

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 = [[0e0,0e0],[0e0,1e0]];
my $test = Algorithm::XGBoost::DMatrix.from-matrix(@test);
say $model.predict($test); # (0.9858561754226685 0.9858561754226685)

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, %param --> Algorithm::XGBoost::Model)

Trains a XGBoost model.

• $dmat The instance of Algorithm::XGBoost::DMatrix.

• $num-iteration The number of iterations for training.

• %param The parameter for training.

version

Defined as:

method version(--> Version)

Returns the libxgboost version.

global-config

Defined as:

multi method global-config(Str $json-str)
multi method global-config(--> Str)

Sets/Gets the global parameters: verbosity and use_rmm.

• verbosity The verbosity of printing messages. Valid values of 0 (silent), 1 (warning), 2 (info), and 3 (debug).

• use_rmm Whether to use RAPIDS Memory Manager (RMM) to allocate GPU memory. This option is only applicable when XGBoost is built (compiled) with the RMM plugin enabled. Valid values are true and false.

AUTHOR

Itsuki Toyota [email protected]

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.