AI-ML

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t/04-linear-regression.t  view on Meta::CPAN

my $m = AI::ML::LinearRegression->new(plot => "../../plot.png");

$m->train($x, $y);

my $t = $m->{thetas};

is($t->rows, 2, "Right number of rows");
is($t->columns, 1, "Right number of columns");
_float($t->get_element(0,0), 0.43458449, "Normal Equation - Right value of theta 0,0");
_float($t->get_element(1,0), 0.85114404, "Normal Equation - Right value of theta 1,0");

my $m1 = AI::ML::LinearRegression->new(
    cost     => "../../cost1.png",
    gradient => "foo",
    plot     => "../../plot1.png",
    n        => 50,
    alpha    => 0.001
);

t/dW3_grad_check.csv  view on Meta::CPAN

0.000000000000000000e+00,0.000000000000000000e+00,2.244042377990227433e+00

t/dataset_adjetivos.csv  view on Meta::CPAN

0.05424005,0.073256136,0
0.078889107,0.060448953,0
0.056183687,0.056806729,0
0.062312334,0.069289943,0
0.083921143,0.083523241,1
0.094005994,0.061818182,1
0.074425814,0.070395942,1
0.100997866,0.059323989,1
0.090577508,0.076190476,1
0.035898697,0.104868453,1
0.044716404,0.074684239,1
0.088927261,0.071929635,1
0.077217059,0.078867367,1
0.052462483,0.098621335,1
0.07274244,0.076996872,1
0.105940496,0.061726757,1
0.074845174,0.07056543,1
0.055452539,0.076821192,1
0.040323386,0.084572645,1
0.066809375,0.079575597,1
0.098856209,0.08496732,1
0.066860815,0.088089978,1
0.059356137,0.10945674,1
0.082474227,0.041237113,1
0.057901136,0.084734393,1
0.076936522,0.084117459,1

t/x.csv  view on Meta::CPAN

4.143235194593750670e-01,-2.336862570334532929e+00,8.887230710982711723e-02,-9.891983150972686323e-01,1.514802189293074530e+00,-1.020511379541267472e+00,1.121527676862359713e-01,-1.978173463774894059e-01,1.832870893368009346e+00,-7.339863788959455349...
-1.461671502657476973e-01,1.621052908610565169e+00,-1.276475733858971173e+00,-5.570101928616619791e-01,-1.092449521673413360e+00,2.049288838915441335e+00,1.005711252903420450e+00,6.089324622215646077e-01,-1.586609380064245567e+00,-7.26042880914793742...

t/x_grad_check.csv  view on Meta::CPAN

1.624345363663241670e+00,-6.117564136500753813e-01,-5.281717522634556961e-01
-1.072968622156170504e+00,8.654076293246785179e-01,-2.301538696880282675e+00
1.744811764216479988e+00,-7.612069008951027893e-01,3.190390960570985701e-01
-2.493703754774100889e-01,1.462107937044974104e+00,-2.060140709497654044e+00