adding rice because symbolic regression is too unstable

shared
Brett 2024-08-27 16:31:34 -04:00
parent e5966789be
commit 68dc109dad
7 changed files with 286 additions and 111 deletions

4
.gitignore vendored
View File

@ -7,7 +7,5 @@ out/
massif.* massif.*
callgrind.* callgrind.*
*.out.* *.out.*
<<<<<<< HEAD
heaptrack.* heaptrack.*
======= Rice_Cammeo_Osmancik.arff
>>>>>>> refs/remotes/origin/main

View File

@ -1,5 +1,5 @@
cmake_minimum_required(VERSION 3.25) cmake_minimum_required(VERSION 3.25)
project(blt-gp VERSION 0.1.26) project(blt-gp VERSION 0.1.27)
include(CTest) include(CTest)
@ -106,6 +106,7 @@ endmacro()
if (${BUILD_EXAMPLES}) if (${BUILD_EXAMPLES})
blt_add_project(blt-symbolic-regression examples/symbolic_regression.cpp example) blt_add_project(blt-symbolic-regression examples/symbolic_regression.cpp example)
blt_add_project(blt-rice-classification examples/rice_classification.cpp example)
endif () endif ()

View File

@ -0,0 +1,33 @@
#pragma once
/*
* Copyright (C) 2024 Brett Terpstra
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
#ifndef BLT_GP_OPERATIONS_COMMON_H
#define BLT_GP_OPERATIONS_COMMON_H
#include <blt/gp/program.h>
blt::gp::operation_t add([](float a, float b) { return a + b; }, "add");
blt::gp::operation_t sub([](float a, float b) { return a - b; }, "sub");
blt::gp::operation_t mul([](float a, float b) { return a * b; }, "mul");
blt::gp::operation_t pro_div([](float a, float b) { return b == 0.0f ? 1.0f : a / b; }, "div");
blt::gp::operation_t op_sin([](float a) { return std::sin(a); }, "sin");
blt::gp::operation_t op_cos([](float a) { return std::cos(a); }, "cos");
blt::gp::operation_t op_exp([](float a) { return std::exp(a); }, "exp");
blt::gp::operation_t op_log([](float a) { return a == 0.0f ? 0.0f : std::log(a); }, "log");
#endif //BLT_GP_OPERATIONS_COMMON_H

View File

@ -0,0 +1,245 @@
/*
* <Short Description>
* Copyright (C) 2024 Brett Terpstra
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
#include <blt/gp/program.h>
#include <blt/profiling/profiler_v2.h>
#include <blt/gp/tree.h>
#include <blt/std/logging.h>
#include <blt/std/format.h>
#include <blt/parse/argparse.h>
#include <iostream>
#include "operations_common.h"
#include "blt/fs/loader.h"
//static constexpr long SEED = 41912;
static const unsigned long SEED = std::random_device()();
enum class rice_type_t
{
Cammeo,
Osmancik
};
struct rice_record
{
float area;
float perimeter;
float major_axis_length;
float minor_axis_length;
float eccentricity;
float convex_area;
float extent;
rice_type_t type;
};
std::vector<rice_record> fitness_cases;
std::vector<rice_record> testing_cases;
blt::gp::prog_config_t config = blt::gp::prog_config_t()
.set_initial_min_tree_size(2)
.set_initial_max_tree_size(6)
.set_elite_count(2)
.set_crossover_chance(0.9)
.set_mutation_chance(0.1)
.set_reproduction_chance(0)
.set_max_generations(50)
.set_pop_size(500)
.set_thread_count(0);
blt::gp::type_provider type_system;
blt::gp::gp_program program{type_system, SEED, config};
auto lit = blt::gp::operation_t([]() {
return program.get_random().get_float(-32000.0f, 32000.0f);
}, "lit").set_ephemeral();
blt::gp::operation_t op_area([](const rice_record& rice_data) {
return rice_data.area;
}, "area");
blt::gp::operation_t op_perimeter([](const rice_record& rice_data) {
return rice_data.perimeter;
}, "perimeter");
blt::gp::operation_t op_major_axis_length([](const rice_record& rice_data) {
return rice_data.major_axis_length;
}, "major_axis_length");
blt::gp::operation_t op_minor_axis_length([](const rice_record& rice_data) {
return rice_data.minor_axis_length;
}, "minor_axis_length");
blt::gp::operation_t op_eccentricity([](const rice_record& rice_data) {
return rice_data.eccentricity;
}, "eccentricity");
blt::gp::operation_t op_convex_area([](const rice_record& rice_data) {
return rice_data.convex_area;
}, "convex_area");
blt::gp::operation_t op_extent([](const rice_record& rice_data) {
return rice_data.extent;
}, "extent");
constexpr auto fitness_function = [](blt::gp::tree_t& current_tree, blt::gp::fitness_t& fitness, blt::size_t) {
constexpr double value_cutoff = 1.e15;
for (auto& fitness_case : fitness_cases)
{
auto diff = std::abs(fitness_case.y - current_tree.get_evaluation_value<float>(&fitness_case));
if (diff < value_cutoff)
{
fitness.raw_fitness += diff;
if (diff < 0.01)
fitness.hits++;
} else
fitness.raw_fitness += value_cutoff;
}
fitness.standardized_fitness = fitness.raw_fitness;
fitness.adjusted_fitness = (1.0 / (1.0 + fitness.standardized_fitness));
return static_cast<blt::size_t>(fitness.hits) == fitness_cases.size();
};
void load_rice_data(std::string_view rice_file_path)
{
auto rice_file_data = blt::fs::getLinesFromFile(rice_file_path);
size_t index = 0;
while (!blt::string::contains(rice_file_data[index++], "@DATA"))
{}
std::vector<rice_record> c;
std::vector<rice_record> o;
for (std::string_view v : blt::itr_offset(rice_file_data, index))
{
auto data = blt::string::split(v, ',');
rice_record r{std::stof(data[0]), std::stof(data[1]), std::stof(data[2]), std::stof(data[3]), std::stof(data[4]), std::stof(data[5]),
std::stof(data[6])};
if (blt::string::contains(data[7], "Cammeo"))
{
r.type = rice_type_t::Cammeo;
c.push_back(r);
} else
{
r.type = rice_type_t::Osmancik;
o.push_back(r);
}
}
blt::size_t total_records = c.size() + o.size();
blt::size_t training_size = total_records / 3;
for (blt::size_t i = 0; i < training_size; i++)
{
auto& random = program.get_random();
auto& vec = random.choice() ? c : o;
auto pos = random.get_i64(0, static_cast<blt::i64>(vec.size()));
fitness_cases.push_back(vec[pos]);
vec.erase(vec.begin() + pos);
}
testing_cases.insert(testing_cases.end(), c.begin(), c.end());
testing_cases.insert(testing_cases.end(), o.begin(), o.end());
std::shuffle(testing_cases.begin(), testing_cases.end(), program.get_random());
}
int main(int argc, const char** argv)
{
blt::arg_parse parser;
parser.addArgument(blt::arg_builder{"-f", "--file"}.setHelp("File for rice data. Should be in .arff format.").setRequired().build());
auto args = parser.parse_args(argc, argv);
auto rice_file_path = args.get<std::string>("-f");
BLT_INFO("Starting BLT-GP Rice Classification Example");
BLT_START_INTERVAL("Rice Classification", "Main");
BLT_DEBUG("Setup Fitness cases");
load_rice_data(rice_file_path);
BLT_DEBUG("Setup Types and Operators");
type_system.register_type<float>();
blt::gp::operator_builder<rice_record> builder{type_system};
program.set_operations(builder.build(add, sub, mul, pro_div, op_sin, op_cos, op_exp, op_log, lit, op_x));
BLT_DEBUG("Generate Initial Population");
auto sel = blt::gp::select_tournament_t{};
program.generate_population(type_system.get_type<float>().id(), fitness_function, sel, sel, sel);
BLT_DEBUG("Begin Generation Loop");
while (!program.should_terminate())
{
BLT_TRACE("------------{Begin Generation %ld}------------", program.get_current_generation());
BLT_TRACE("Creating next generation");
#ifdef BLT_TRACK_ALLOCATIONS
auto gen_alloc = blt::gp::tracker.start_measurement();
#endif
BLT_START_INTERVAL("Rice Classification", "Gen");
program.create_next_generation();
BLT_END_INTERVAL("Rice Classification", "Gen");
#ifdef BLT_TRACK_ALLOCATIONS
blt::gp::tracker.stop_measurement(gen_alloc);
BLT_TRACE("Generation Allocated %ld times with a total of %s", gen_alloc.getAllocationDifference(),
blt::byte_convert_t(gen_alloc.getAllocatedByteDifference()).convert_to_nearest_type().to_pretty_string().c_str());
auto fitness_alloc = blt::gp::tracker.start_measurement();
#endif
BLT_TRACE("Move to next generation");
BLT_START_INTERVAL("Rice Classification", "Fitness");
program.next_generation();
BLT_TRACE("Evaluate Fitness");
program.evaluate_fitness();
BLT_END_INTERVAL("Rice Classification", "Fitness");
#ifdef BLT_TRACK_ALLOCATIONS
blt::gp::tracker.stop_measurement(fitness_alloc);
BLT_TRACE("Fitness Allocated %ld times with a total of %s", fitness_alloc.getAllocationDifference(),
blt::byte_convert_t(fitness_alloc.getAllocatedByteDifference()).convert_to_nearest_type().to_pretty_string().c_str());
#endif
BLT_TRACE("----------------------------------------------");
std::cout << std::endl;
}
BLT_END_INTERVAL("Rice Classification", "Main");
auto best = program.get_best_individuals<3>();
BLT_INFO("Best approximations:");
for (auto& i_ref : best)
{
auto& i = i_ref.get();
BLT_DEBUG("Fitness: %lf, stand: %lf, raw: %lf", i.fitness.adjusted_fitness, i.fitness.standardized_fitness, i.fitness.raw_fitness);
i.tree.print(program, std::cout);
std::cout << "\n";
}
auto& stats = program.get_population_stats();
BLT_INFO("Stats:");
BLT_INFO("Average fitness: %lf", stats.average_fitness.load());
BLT_INFO("Best fitness: %lf", stats.best_fitness.load());
BLT_INFO("Worst fitness: %lf", stats.worst_fitness.load());
BLT_INFO("Overall fitness: %lf", stats.overall_fitness.load());
// TODO: make stats helper
BLT_PRINT_PROFILE("Rice Classification", blt::PRINT_CYCLES | blt::PRINT_THREAD | blt::PRINT_WALL);
#ifdef BLT_TRACK_ALLOCATIONS
BLT_TRACE("Total Allocations: %ld times with a total of %s", blt::gp::tracker.getAllocations(),
blt::byte_convert_t(blt::gp::tracker.getAllocatedBytes()).convert_to_nearest_type().to_pretty_string().c_str());
#endif
return 0;
}

View File

@ -21,6 +21,7 @@
#include <blt/std/logging.h> #include <blt/std/logging.h>
#include <blt/std/format.h> #include <blt/std/format.h>
#include <iostream> #include <iostream>
#include "operations_common.h"
//static constexpr long SEED = 41912; //static constexpr long SEED = 41912;
static const unsigned long SEED = std::random_device()(); static const unsigned long SEED = std::random_device()();
@ -40,21 +41,12 @@ blt::gp::prog_config_t config = blt::gp::prog_config_t()
.set_mutation_chance(0.1) .set_mutation_chance(0.1)
.set_reproduction_chance(0) .set_reproduction_chance(0)
.set_max_generations(50) .set_max_generations(50)
.set_pop_size(5000) .set_pop_size(500)
.set_thread_count(0); .set_thread_count(0);
blt::gp::type_provider type_system; blt::gp::type_provider type_system;
blt::gp::gp_program program{type_system, SEED, config}; blt::gp::gp_program program{type_system, SEED, config};
blt::gp::operation_t add([](float a, float b) { return a + b; }, "add");
blt::gp::operation_t sub([](float a, float b) { return a - b; }, "sub");
blt::gp::operation_t mul([](float a, float b) { return a * b; }, "mul");
blt::gp::operation_t pro_div([](float a, float b) { return b == 0.0f ? 1.0f : a / b; }, "div");
blt::gp::operation_t op_sin([](float a) { return std::sin(a); }, "sin");
blt::gp::operation_t op_cos([](float a) { return std::cos(a); }, "cos");
blt::gp::operation_t op_exp([](float a) { return std::exp(a); }, "exp");
blt::gp::operation_t op_log([](float a) { return a == 0.0f ? 0.0f : std::log(a); }, "log");
auto lit = blt::gp::operation_t([]() { auto lit = blt::gp::operation_t([]() {
return program.get_random().get_float(-320.0f, 320.0f); return program.get_random().get_float(-320.0f, 320.0f);
}, "lit").set_ephemeral(); }, "lit").set_ephemeral();
@ -107,7 +99,7 @@ int main()
program.set_operations(builder.build(add, sub, mul, pro_div, op_sin, op_cos, op_exp, op_log, lit, op_x)); program.set_operations(builder.build(add, sub, mul, pro_div, op_sin, op_cos, op_exp, op_log, lit, op_x));
BLT_DEBUG("Generate Initial Population"); BLT_DEBUG("Generate Initial Population");
auto sel = blt::gp::select_fitness_proportionate_t{}; auto sel = blt::gp::select_tournament_t{};
program.generate_population(type_system.get_type<float>().id(), fitness_function, sel, sel, sel); program.generate_population(type_system.get_type<float>().id(), fitness_function, sel, sel, sel);
BLT_DEBUG("Begin Generation Loop"); BLT_DEBUG("Begin Generation Loop");
@ -175,13 +167,5 @@ int main()
blt::byte_convert_t(blt::gp::tracker.getAllocatedBytes()).convert_to_nearest_type().to_pretty_string().c_str()); blt::byte_convert_t(blt::gp::tracker.getAllocatedBytes()).convert_to_nearest_type().to_pretty_string().c_str());
#endif #endif
// BLT_TRACE("Allocations:");
// auto h = static_cast<blt::ptrdiff_t>(blt::gp::hello.load());
// auto u = static_cast<blt::ptrdiff_t>(blt::gp::unhello.load());
// BLT_TRACE("Allocated: %ld", h);
// BLT_TRACE("Deallocated: %ld", u);
// BLT_TRACE("Ratio: %lf Difference: %ld", static_cast<double>(h) / static_cast<double>(u), std::abs(h - u));
// BLT_TRACE("Total Allocated Bytes: %ld", blt::gp::hello_bytes.load());
return 0; return 0;
} }

View File

@ -25,93 +25,7 @@
namespace blt::gp namespace blt::gp
{ {
#define BLT_RANDOM_FUNCTION blt::random::murmur_random64 using random_t = blt::random::random_t;
#define BLT_RANDOM_FLOAT blt::random::murmur_float64
#define BLT_RANDOM_DOUBLE blt::random::murmur_double64
class random_t
{
public:
explicit random_t(blt::u64 seed): seed(seed)
{}
void set_seed(blt::u64 s)
{
seed = s;
}
float get_float()
{
return BLT_RANDOM_FLOAT(seed);
}
double get_double()
{
return BLT_RANDOM_DOUBLE(seed);
}
// [min, max)
double get_double(double min, double max)
{
return BLT_RANDOM_FUNCTION(seed, min, max);
}
// [min, max)
float get_float(float min, float max)
{
return BLT_RANDOM_FUNCTION(seed, min, max);
}
i32 get_i32(i32 min, i32 max)
{
return BLT_RANDOM_FUNCTION(seed, min, max);
}
u32 get_u32(u32 min, u32 max)
{
return BLT_RANDOM_FUNCTION(seed, min, max);
}
i64 get_i64(i64 min, i64 max)
{
return BLT_RANDOM_FUNCTION(seed, min, max);
}
u64 get_u64(u64 min, u64 max)
{
return BLT_RANDOM_FUNCTION(seed, min, max);
}
blt::size_t get_size_t(blt::size_t min, blt::size_t max)
{
return BLT_RANDOM_FUNCTION(seed, min, max);
}
bool choice()
{
return BLT_RANDOM_DOUBLE(seed) < 0.5;
}
bool choice(double cutoff)
{
return BLT_RANDOM_DOUBLE(seed) <= cutoff;
}
template<typename Container>
auto& select(Container& container)
{
return container[get_u64(0, container.size())];
}
template<typename Container>
const auto& select(const Container& container)
{
return container[get_u64(0, container.size())];
}
private:
blt::u64 seed;
};
} }

@ -1 +1 @@
Subproject commit 6632d045286b42d257eb3783e96256c13b588186 Subproject commit b6354bed7846078e863767ce5afc7daa53b93988