I'm making a program that will predict the next year's collection from the database using php-ml.
and I'm getting this error.
Phpml\\Exception\\MatrixException Message: Matrix is singular
Im using this functions
use Phpml\\Regression\\LeastSquares;
use \\Phpml\\Math\\Matrix;
use \\Phpml\\Math\\Set;
newbie here.
Regression_controller
public function index()
{
$this->load->model("regression_model") ;
$array = $this->regression_model->display_data();
$targets = $this->regression_model->display_data2();
$matrix = new Matrix($array);
$set = new Set($targets);
$arraytrix = $matrix->toArray();
$arrayset = $set->toArray();
$col[] = array_column($arraytrix, 'year');
$col2[] = array_column($arrayset, 'total');
var_dump($col);
var_dump($col2);
$regression = new LeastSquares();
$regression->train($col, $col2);
$predicted = $regression->predict([2018]);
var_dump($predicted);
$this->load->view('regression');
}
Regression_model
function display_data()
{
$query1 = $this->db->query("SELECT year from total_year");
return $query1->result_array();
}
function display_data2()
{
$query1 = $this->db->query("SELECT total from total_year");
return $query1->result_array();
}
I also had this problem but I was able to solve it. Make sure that you don't have the following:
Less Than Two Data. Upon trial and error, I've found out that it needs at least 2 data.
Wrong Format. Make sure to follow the proper formatting of the target and sample (see the documentation ).
$samples = [[60], [61], [62], [63], [65]];
$targets = [3.1, 3.6, 3.8, 4, 4.1];
$regression = new LeastSquares();
$regression->train($samples, $targets);
As you can see in $samples
, it's an array of arrays. So, make sure that each value in your array is an array itself.
The problem arises when all the values of a dataset attribute are similar in all records.
$samples = [ [1000,3,145], [1000,5,135], [1000,4,143], [1000,3,123]];
$targets = [ 4, 1, 3, 2];
$regression->train($samples, $targets);
In the above sample, the first values of all records ar equal to 1000
. Therefore, when $regression->train($samples, $targets)
is executed it sees attribute count of $sample
is 2
instead of 3
, which creates a mismatch between array dimension which is 3 x 4
not 2 x 4
.
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