Ejemplo n.º 1
0
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);
}
Ejemplo n.º 2
0
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;
}
Ejemplo n.º 3
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);
    }
}