Fleet
0.0.9
Inference in the LOT
|
#include <cmath>
#include "Numerics.h"
#include "Strings.h"
#include "MyGrammar.h"
#include "MyHypothesis.h"
#include "MyMCTS.h"
#include "StructureToSamples.h"
#include "PartitionMCMC.h"
#include "FleetArgs.h"
#include "Fleet.h"
Typedefs | |
using | D = double |
using | X_t = std::array< D, MAX_VARS > |
Functions | |
std::ostream & | operator<< (std::ostream &o, X_t a) |
int | main (int argc, char **argv) |
Variables | |
const double | sdscale = 1.0 |
int | polynomial_degree = -1 |
double | end_at_likelihood = infinity |
size_t | BURN_N = 0 |
size_t | nsamples = 100 |
size_t | nstructs = 100 |
size_t | head_data = 0 |
double | FEYNMAN_SD = 0.1 |
double | data_X_mean = NaN |
double | data_Y_mean = NaN |
double | data_X_sd = NaN |
double | data_Y_sd = NaN |
double | best_possible_ll = NaN |
char | sep = '\t' |
const size_t | MAX_VARS = 9 |
size_t | NUM_VARS = 1 |
MyHypothesis::data_t | mydata |
using D = double |
int main | ( | int | argc, |
char ** | argv | ||
) |
std::ostream& operator<< | ( | std::ostream & | o, |
X_t | a | ||
) |
double best_possible_ll = NaN |
size_t BURN_N = 0 |
double data_X_mean = NaN |
double data_X_sd = NaN |
double data_Y_mean = NaN |
double data_Y_sd = NaN |
double end_at_likelihood = infinity |
double FEYNMAN_SD = 0.1 |
size_t head_data = 0 |
const size_t MAX_VARS = 9 |
MyHypothesis::data_t mydata |
size_t nsamples = 100 |
size_t nstructs = 100 |
size_t NUM_VARS = 1 |
int polynomial_degree = -1 |
const double sdscale = 1.0 |
char sep = '\t' |