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lib/AI/ML/LinearRegression.pm  view on Meta::CPAN

=head2 linear_regression

    considerando X com as dimensoes(m,n) e theta com as dimensoes (n,1)
    #Default is normal equation
    #Option
    #gradient => not use normal equation
    #plot => plot data and linear
    #cost => plot cost
    #alpha
    #n => number of iterations

=cut

sub train {
    my ($self, $x, $y) = @_;
    my ($thetas, $iters, $alpha, $lambda);
	
    if( exists $self->{grad} ) {
        $iters     = $self->{n};
        $alpha     = $self->{alpha};