README
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[2;2] = [[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.