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An erlang library for SVM classification and regression based on libsvm.

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esvm c_src esvm_nif.cc
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c_src/esvm_nif.cc

#include "esvm_nif.h"
#include "nif_utils.h"
#include "macros.h"
#include "esvm.h"
#include <stdlib.h>
namespace esvm {
namespace {
const char kAtomOk[] = "ok";
const char kAtomError[] = "error";
const char kAtomTrue[] = "true";
const char kAtomFalse[] = "false";
const char kAtomBadArg[] = "badarg";
static ErlNifFunc nif_funcs[] = {
{"model_create", 3, nif_svm_model_create, ERL_NIF_DIRTY_JOB_IO_BOUND},
{"model_load", 1, nif_svm_model_load, ERL_NIF_DIRTY_JOB_IO_BOUND},
{"model_save", 2, nif_svm_model_save, ERL_NIF_DIRTY_JOB_IO_BOUND},
{"model_predict", 2, nif_svm_model_predict, ERL_NIF_DIRTY_JOB_IO_BOUND}
};
void open_resources(ErlNifEnv* env, esvm_data* data)
{
ErlNifResourceFlags flags = static_cast<ErlNifResourceFlags>(ERL_NIF_RT_CREATE | ERL_NIF_RT_TAKEOVER);
data->resEsvmModel = enif_open_resource_type(env, NULL, "enif_svm_model", nif_svm_model_free, flags, NULL);
}
}
atoms ATOMS;
int on_nif_load(ErlNifEnv* env, void** priv_data, ERL_NIF_TERM load_info)
{
UNUSED(load_info);
ATOMS.atomOk = make_atom(env, kAtomOk);
ATOMS.atomError = make_atom(env, kAtomError);
ATOMS.atomTrue = make_atom(env, kAtomTrue);
ATOMS.atomFalse = make_atom(env, kAtomFalse);
ATOMS.atomBadArg = make_atom(env, kAtomBadArg);
esvm_data* data = static_cast<esvm_data*>(enif_alloc(sizeof(esvm_data)));
open_resources(env, data);
*priv_data = data;
return 0;
}
void on_nif_unload(ErlNifEnv* env, void* priv_data)
{
UNUSED(env);
esvm_data* data = static_cast<esvm_data*>(priv_data);
enif_free(data);
}
int on_nif_upgrade(ErlNifEnv* env, void** priv, void** old_priv, ERL_NIF_TERM info)
{
UNUSED(old_priv);
UNUSED(info);
esvm_data* data = static_cast<esvm_data*>(enif_alloc(sizeof(esvm_data)));
open_resources(env, data);
*priv = data;
return 0;
}
}
ERL_NIF_INIT(esvm_nif, esvm::nif_funcs, esvm::on_nif_load, NULL, esvm::on_nif_upgrade, esvm::on_nif_unload)