libsvm: Make a binding to libsvm. It can call train, but the result is 'null' still.

extra/libsvm/authors.txt

@@ -0,0 +1 @@
+Doug Coleman

extra/libsvm/libsvm.factor

@@ -0,0 +1,118 @@
+! Copyright (C) 2012 Doug Coleman.
+! See http://factorcode.org/license.txt for BSD license.
+USING: accessors alien alien.c-types alien.data alien.libraries
+alien.syntax arrays ascii assocs classes.struct combinators
+destructors io.encodings.ascii io.files kernel libc math.parser
+math.ranges sequences slots.syntax specialized-arrays
+splitting system ;
+IN: libsvm
+
+<< "libsvm" {
+    { [ os unix? ] [ "libsvm.so.2" ] }
+} cond cdecl add-library >>
+
+LIBRARY: libsvm
+
+CONSTANT: LIBSVM_VERSION 312
+
+! extern int libsvm_version;
+
+STRUCT: svm_node
+    { index int }
+    { value double } ;
+
+SPECIALIZED-ARRAY: svm_node
+
+STRUCT: svm_problem
+    { l int }
+    { y double* }
+    { x svm_node** } ;
+
+ENUM: svm_type C_SVC NU_SVC ONE_CLASS EPSILON_SVR NU_SVR ; 
+ENUM: kernel_type LINEAR POLY RBF SIGMOID PRECOMPUTED ;
+
+STRUCT: svm_parameter
+    { svm_type int }
+    { kernel_type int }
+    { degree int }
+    { gamma double }
+    { coef0 double }
+
+    { cache_size double }
+    { eps double }
+    { C double }
+    { nr_weight int }
+    { weight_label int* }
+    { weight double* }
+    { nu double }
+    { p double }
+    { shrinking int }
+    { probablility int } ;
+
+STRUCT: svm_model
+    { param svm_parameter }
+    { nr_class int }
+    { l int }
+    { SV svm_node** }
+    { sv_coef double** }
+    { rho double* }
+    { probA double* }
+    { probB double* }
+    { label int* }
+    { nSV int* }
+    { free_sv int } ;
+
+FUNCTION: svm_model *svm_train ( svm_problem *prob, svm_parameter *param ) ;
+FUNCTION: void svm_cross_validation ( svm_problem *prob, svm_parameter *param, int nr_fold, double *target ) ;
+
+FUNCTION: int svm_save_model ( char *model_file_name, svm_model *model ) ;
+FUNCTION: svm_model *svm_load_model ( char *model_file_name ) ;
+
+FUNCTION: int svm_get_svm_type ( svm_model *model ) ;
+FUNCTION: int svm_get_nr_class ( svm_model *model ) ;
+FUNCTION: void svm_get_labels ( svm_model *model, int *label ) ;
+FUNCTION: double svm_get_svr_probability ( svm_model *model ) ;
+
+FUNCTION: double svm_predict_values ( svm_model *model, svm_node *x, double* dec_values ) ;
+FUNCTION: double svm_predict ( svm_model *model, svm_node *x ) ;
+FUNCTION: double svm_predict_probability ( svm_model *model, svm_node *x, double* prob_estimates ) ;
+
+FUNCTION: void svm_free_model_content ( svm_model *model_ptr ) ;
+FUNCTION: void svm_free_and_destroy_model ( svm_model **model_ptr_ptr ) ;
+FUNCTION: void svm_destroy_param ( svm_parameter *param ) ;
+
+FUNCTION: char *svm_check_parameter ( svm_problem *prob, svm_parameter *param ) ;
+FUNCTION: int svm_check_probability_model ( svm_model *model ) ;
+
+! FUNCTION: void svm_set_print_string_function ( void (*print_func)(const char *));
+FUNCTION: void svm_set_print_string_function ( void *print_func ) ;
+
+
+: load-svm-training-data ( path -- seq )
+    ascii file-contents "\n" split harvest [
+        " " split 1 cut-slice rest-slice
+        [ first string>number ]
+        [ [ ":" split [ string>number ] map ] map ] bi*
+        2array
+    ] map ;
+
+: indexed-sequence>nodes ( seq -- svm_nodes )
+    [ first2 svm_node <struct-boa> ] svm_node-array{ } map-as ;
+
+: >indexed-sequence ( seq -- nodes )
+    [ length [1,b] ] keep zip ;
+
+: matrix>nodes ( seq -- nodes )
+    [ >indexed-sequence indexed-sequence>nodes ] map concat
+    \ svm_node malloc-like ;
+
+: make-svm-problem ( X y -- svm-problem )
+    [ svm_problem <struct> ] 2dip
+        [ matrix>nodes >>x ]
+        [ \ double malloc-like >>y ] bi* ;
+
+M: svm_problem dispose
+    [ slots{ x y } [ &free drop ] each ] with-destructors ;
+
+! clear { { 100 200 300 400 500 } } { 1 1 1 0 0 } make-svm-problem
+! svm_parameter <struct> svm_train