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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/stochastic_gradient_descent.h
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@@ -16,10 +16,10 @@ gamma_t = gamma_0(1 + gamma_0 * lambda * t)^-1
#include "matrix.h"
bool stochastic_gradient_descent(matrix_t *theta, matrix_t *gradient, double gamma);
bool stochastic_gradient_descent_sparse(matrix_t *theta, matrix_t *gradient, uint32_array *update_indices, double gamma);
bool stochastic_gradient_descent_regularize_weights(matrix_t *theta, uint32_array *update_indices, uint32_array *last_updated, uint32_t t, double lambda, double gamma_0);
bool stochastic_gradient_descent_finalize_weights(matrix_t *theta, uint32_array *last_updated, uint32_t t, double lambda, double gamma_0);
bool stochastic_gradient_descent(double_matrix_t *theta, double_matrix_t *gradient, double gamma);
bool stochastic_gradient_descent_sparse(double_matrix_t *theta, double_matrix_t *gradient, uint32_array *update_indices, double gamma);
bool stochastic_gradient_descent_regularize_weights(double_matrix_t *theta, uint32_array *update_indices, uint32_array *last_updated, uint32_t t, double lambda, double gamma_0);
bool stochastic_gradient_descent_finalize_weights(double_matrix_t *theta, uint32_array *last_updated, uint32_t t, double lambda, double gamma_0);
double stochastic_gradient_descent_gamma_t(double gamma_0, double lambda, uint32_t t);