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);
}
static PyObject* py_dataset_add(PyObject * _self, PyObject* args, PyObject* kwargs)
{
DataSetObject*self = (DataSetObject*)_self;
static char *kwlist[] = {"input","output",NULL};
PyObject*input=0,*output=0;
if (args && !PyArg_ParseTupleAndKeywords(args, kwargs, "OO", kwlist, &input, &output))
return NULL;
if(!PyList_Check(input) && !PyDict_Check(input)) // && !PyTuple_Check(input))
return PY_ERROR("first argument to train() must be a list or a dict");
example_t*e = pylist_to_example(input);
if(!e)
return NULL;
if(pyint_check(output)) {
e->desired_response = variable_new_categorical(pyint_as_long(output));
} else if(pystring_check(output)) {
e->desired_response = variable_new_text(pystring_asstring(output));
} else {
return PY_ERROR("output parameter must be an integer or a string");
}
trainingdata_add_example(self->data, e);
return PY_NONE;
}
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);
}
}