XGBoost is probably what you are looking for, but note that it is not well documented or used in the real world (at least not on a public website). Moreover, the ggplot2 package is really easy to use. If you have RStudio, you can also use the ggplot2 package to interactively browse and visualise model predictions. The main constraint is that the packages you use must be compatible with your dataset (no issues with Pandas, Spark and Apache Spark Dataframe). You could also build some visualisation using the tools described here, like this one.
A:
In R:
library(foreach)
library(doParallel)
cl Q:
How to improve this Perl OOP code
I am wondering how to improve this piece of code (in Perl).
use strict;
use warnings;
package Test;
sub new {
my $class = shift;
my $self = {};
$self->{data} = [];
bless $self, $class;
return $self;
}
sub add {
my ($self, $item) = @_;
push @{$self->{data}}, $item;
sub remove {
my @data = @{$self->{data}}
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