example_t* pylist_to_example(PyObject*input)
{
example_t*e = 0;
if(PyList_Check(input)) {
int size = PyList_Size(input);
e = example_new(size);
int t;
for(t=0; t<size; t++) {
PyObject*item = PyList_GetItem(input, t);
if(!add_item(e, t, item))
return NULL;
}
} else if(PyDict_Check(input)) {
int size = PyDict_Size(input);
PyObject*pkey = 0;
PyObject*pvalue = 0;
size_t pos = 0;
int t = 0;
e = example_new(size);
e->input_names = (const char**)malloc(sizeof(e->input_names[0])*size);
while(PyDict_Next(input, &pos, &pkey, &pvalue)) {
if(!pystring_check(pkey))
return PY_ERROR("dict object must use strings as keys");
const char*s = pystring_asstring(pkey);
if(!add_item(e, t, pvalue))
return NULL;
e->input_names[t] = register_string(s);
t++;
}
} else {
return PY_ERROR("first argument must be a list or a dict");
}
return e;
}
int main()
{
config_parse_remote_servers("servers.txt");
trainingdata_t* data = trainingdata_new();
int t;
for(t=0;t<256;t++) {
example_t*e = example_new(16);
int s;
for(s=0;s<16;s++) {
e->inputs[s] = variable_new_continuous((lrand48()%256)/256.0);
}
e->desired_response = variable_new_categorical(t%2);
trainingdata_add_example(data, e);
}
trainingdata_save(data, "/tmp/data.data");
trainingdata_destroy(data);
data = trainingdata_load("/tmp/data.data");
model_t*m = model_select(data);
char*code = model_generate_code(m, "python");
printf("%s\n", code);
free(code);
model_destroy(m);
trainingdata_destroy(data);
}
void core()
{
example *e;
e = example_new();
assert_true(e);
example_delete(e);
}
void memory()
{
extern int debug_out_of_memory;
example *e;
debug_out_of_memory = 1;
e = example_new();
assert_false(e);
debug_out_of_memory = 0;
}
void test()
{
trainingdata_t* data = trainingdata_new();
int t;
for(t=0;t<256;t++) {
example_t*e = example_new(16);
int s;
for(s=0;s<16;s++) {
e->inputs[s] = variable_new_continuous((lrand48()%256)/256.0);
}
e->desired_response = variable_new_categorical(t%2);
trainingdata_add_example(data, e);
}
dataset_t*dataset = trainingdata_sanitize(data);
model_t*m = process_job_remotely("dtree", dataset);
if(m) {
printf("%s\n", m->name);
}
}
