AI-ML
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XS/ML.xs.inc view on Meta::CPAN
#include "EXTERN.h"
#include "perl.h"
#include "XSUB.h"
#include "C/nn.h"
MODULE = AI::ML PACKAGE = AI::ML::Expr
SV *
_sigmoid(a)
unsigned long a;
PREINIT:
Matrix *m;
CODE:
m = matrix_sigmoid((Matrix*)a);
RETVAL = newSVuv((unsigned long)m);
OUTPUT:
RETVAL
SV *
_tanh(a)
unsigned long a;
PREINIT:
Matrix *m;
CODE:
m = matrix_tanh((Matrix*)a);
RETVAL = newSVuv((unsigned long)m);
OUTPUT:
RETVAL
SV *
_d_tanh(a)
unsigned long a;
PREINIT:
Matrix *m;
CODE:
m = matrix_d_tanh((Matrix*)a);
RETVAL = newSVuv((unsigned long)m);
OUTPUT:
RETVAL
SV *
_relu(a)
unsigned long a;
PREINIT:
Matrix* m;
CODE:
m = matrix_ReLU((Matrix*)a);
RETVAL = newSVuv((unsigned long)m);
OUTPUT:
RETVAL
SV *
_d_relu(a)
unsigned long a;
PREINIT:
Matrix* m;
CODE:
m = matrix_d_ReLU((Matrix*)a);
RETVAL = newSVuv((unsigned long)m);
OUTPUT:
RETVAL
SV *
_lrelu(a, v)
unsigned long a;
REAL v;
PREINIT:
Matrix* m;
CODE:
m = matrix_LReLU((Matrix*)a, v);
RETVAL = newSVuv((unsigned long)m);
OUTPUT:
RETVAL
SV *
_d_lrelu(a, v)
unsigned long a;
REAL v;
PREINIT:
Matrix* m;
CODE:
m = matrix_d_LReLU((Matrix*)a, v);
RETVAL = newSVuv((unsigned long)m);
OUTPUT:
RETVAL
SV *
_predict_binary_classification(a, v)
unsigned long a;
REAL v;
PREINIT:
Matrix* m;
CODE:
m = predict_binary_classification((Matrix*)a, v);
RETVAL = newSVuv((unsigned long)m);
OUTPUT:
RETVAL
SV *
_softmax(a)
unsigned long a;
PREINIT:
Matrix* m;
CODE:
m = matrix_softmax((Matrix*)a);
RETVAL = newSVuv((unsigned long)m);
OUTPUT:
RETVAL
SV *
_d_softmax(a)
unsigned long a;
PREINIT:
Matrix* m;
CODE:
m = matrix_d_softmax((Matrix*)a);
RETVAL = newSVuv((unsigned long)m);
OUTPUT:
RETVAL
SV *
_d_sigmoid(a)
unsigned long a;
PREINIT:
Matrix* m;
CODE:
m = matrix_d_sigmoid((Matrix*)a);
RETVAL = newSVuv((unsigned long)m);
OUTPUT:
RETVAL
SV *
_sigmoid_cost(x, y, w)
unsigned long x;
unsigned long y;
unsigned long w;
CODE:
RETVAL = newSVnv(sigmoid_cost((Matrix*)x, (Matrix*)y, (Matrix*)w));
OUTPUT:
RETVAL
SV *
_mini_batch(m, start, s, axis)
unsigned long m;
int start;
int s;
int axis;
PREINIT:
Matrix* r;
CODE:
r = mini_batch((Matrix*)m, start, s, axis);
RETVAL = newSVnv((unsigned long)r);
OUTPUT:
RETVAL
SV *
_accuracy(y, yatt)
unsigned long y;
unsigned long yatt;
CODE:
RETVAL = newSVnv(accuracy((Matrix*)y, (Matrix*)yatt));
OUTPUT:
RETVAL
SV *
_precision(y, yatt)
unsigned long y;
unsigned long yatt;
CODE:
RETVAL = newSVnv(precision((Matrix*)y, (Matrix*)yatt));
OUTPUT:
RETVAL
SV *
_recall(y, yatt)
unsigned long y;
unsigned long yatt;
CODE:
RETVAL = newSVnv(recall((Matrix*)y, (Matrix*)yatt));
OUTPUT:
RETVAL
SV *
_f1(y, yatt)
unsigned long y;
unsigned long yatt;
CODE:
RETVAL = newSVnv(f1((Matrix*)y, (Matrix*)yatt));
OUTPUT:
RETVAL
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