Create complex_regression.cljc

This commit is contained in:
Ryan Boldi 2022-04-02 14:49:27 -04:00
parent 217f195047
commit 336710144d

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(ns propeller.problems.complex-regression
(:require [propeller.genome :as genome]
[propeller.push.interpreter :as interpreter]
[propeller.push.state :as state]
[propeller.tools.math :as math]
[propeller.gp :as gp]
#?(:cljs [cljs.reader :refer [read-string]])))
(defn- target-function
"Target function: f(x) = (x^3 + 1)^3 + 1"
[x]
(* (+ (* x x x) 1) (+ (* x x x) 1) (+ (* x x x) 1) + 1))
(def train-and-test-data
(let [train-inputs (range -10 11)
test-inputs (concat (range -20 -10) (range 11 21))]
{:train (map (fn [x] {:input1 (vector x) :output1 (vector (target-function x))}) train-inputs)
:test (map (fn [x] {:input1 (vector x) :output1 (vector (target-function x))}) test-inputs)}))
(def instructions
(list :in1
:integer_add
:integer_subtract
:integer_mult
:integer_quot
:integer_eq
:exec_dup
:exec_if
'close
0
1))
(defn error-function
"Finds the behaviors and errors of an individual. The error is the absolute
deviation between the target output value and the program's selected behavior,
or 1000000 if no behavior is produced. The behavior is here defined as the
final top item on the INTEGER stack."
([argmap data individual]
(let [program (genome/plushy->push (:plushy individual) argmap)
inputs (map (fn [x] (first (:input1 x))) data)
correct-outputs (map (fn [x] (first (:output1 x))) data)
outputs (map (fn [input]
(state/peek-stack
(interpreter/interpret-program
program
(assoc state/empty-state :input {:in1 input})
(:step-limit argmap))
:integer))
inputs)
errors (map (fn [correct-output output]
(if (= output :no-stack-item)
1000000
(math/abs (- correct-output output))))
correct-outputs
outputs)]
(assoc individual
:behaviors outputs
:errors errors
:total-error #?(:clj (apply +' errors)
:cljs (apply + errors))))))
(defn -main
"Runs propel-gp, giving it a map of arguments."
[& args]
(gp/gp
(merge
{:instructions instructions
:error-function error-function
:training-data (:train train-and-test-data)
:testing-data (:test train-and-test-data)
:max-generations 500
:population-size 500
:max-initial-plushy-size 100
:step-limit 200
:parent-selection :lexicase
:tournament-size 5
:umad-rate 0.1
:variation {:umad 1.0 :crossover 0.0}
:elitism false}
(apply hash-map (map #(if (string? %) (read-string %) %) args))))
(#?(:clj shutdown-agents)))