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[math] Generic dense matrix implementation using BLAS calls for matrix-matrix multiplication if available

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Al
2016-08-06 00:40:01 -04:00
parent d4a792f33c
commit 46cd725c13
19 changed files with 469 additions and 425 deletions
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8
src/logistic_regression.h
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@@ -26,10 +26,10 @@ may be called softmax regression.
#include "matrix.h"
#include "sparse_matrix.h"
bool logistic_regression_model_expectation(matrix_t *theta, sparse_matrix_t *x, matrix_t *p_y);
double logistic_regression_cost_function(matrix_t *theta, sparse_matrix_t *x, uint32_array *y, matrix_t *p_y, double lambda);
bool logistic_regression_gradient(matrix_t *theta, matrix_t *gradient, sparse_matrix_t *x, uint32_array *y, matrix_t *p_y, double lambda);
bool logistic_regression_gradient_sparse(matrix_t *theta, matrix_t *gradient, sparse_matrix_t *x, uint32_array *y, matrix_t *p_y,
bool logistic_regression_model_expectation(double_matrix_t *theta, sparse_matrix_t *x, double_matrix_t *p_y);
double logistic_regression_cost_function(double_matrix_t *theta, sparse_matrix_t *x, uint32_array *y, double_matrix_t *p_y, double lambda);
bool logistic_regression_gradient(double_matrix_t *theta, double_matrix_t *gradient, sparse_matrix_t *x, uint32_array *y, double_matrix_t *p_y, double lambda);
bool logistic_regression_gradient_sparse(double_matrix_t *theta, double_matrix_t *gradient, sparse_matrix_t *x, uint32_array *y, double_matrix_t *p_y,
uint32_array *x_cols, double lambda);
#endif