Remove problem file with issues including incorrect constants and obsolete gp arguments
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(ns propeller.problems.complex-regression
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(:require [propeller.genome :as genome]
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[propeller.push.interpreter :as interpreter]
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[propeller.push.state :as state]
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[propeller.tools.math :as math]
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[propeller.gp :as gp]
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#?(:cljs [cljs.reader :refer [read-string]])))
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(defn- target-function
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"Target function: f(x) = (x^3 + 1)^3 + 1"
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[x]
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(let [x-new (+ (* x x x) 1)]
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(+ (* x-new x-new x-new) 1)))
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(def train-and-test-data
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(let [train-inputs (range -4.0 4.0 0.25)
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test-inputs (range -4.125 4.125 0.25)]
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{:train (map (fn [x] {:input1 (vector x) :output1 (vector (target-function x))}) train-inputs)
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:test (map (fn [x] {:input1 (vector x) :output1 (vector (target-function x))}) test-inputs)}))
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(def instructions
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(list :in1
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:float_add
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:float_subtract
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:float_mult
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:float_quot
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:float_eq
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:exec_dup
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:exec_if
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'close
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0
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1))
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(defn error-function
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"Finds the behaviors and errors of an individual. The error is the absolute
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deviation between the target output value and the program's selected behavior,
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or 1000000 if no behavior is produced. The behavior is here defined as the
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final top item on the FLOAT stack."
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([argmap data individual]
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(let [program (genome/plushy->push (:plushy individual) argmap)
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inputs (map (fn [x] (first (:input1 x))) data)
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correct-outputs (map (fn [x] (first (:output1 x))) data)
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outputs (map (fn [input]
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(state/peek-stack
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(interpreter/interpret-program
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program
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(assoc state/empty-state :input {:in1 input})
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(:step-limit argmap))
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:float))
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inputs)
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errors (map (fn [correct-output output]
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(if (= output :no-stack-item)
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1000000
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(math/abs (- correct-output output))))
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correct-outputs
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outputs)]
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(assoc individual
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:behaviors outputs
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:errors errors
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:total-error #?(:clj (apply +' errors)
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:cljs (apply + errors))))))
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(defn -main
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"Runs the top-level genetic programming function, giving it a map of
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arguments with defaults that can be overridden from the command line
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or through a passed map."
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[& args]
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(gp/gp
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(merge
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{:instructions instructions
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:error-function error-function
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:training-data (:train train-and-test-data)
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:testing-data (:test train-and-test-data)
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:max-generations 5000
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:population-size 500
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:max-initial-plushy-size 100
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:step-limit 200
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:parent-selection :ds-lexicase
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:ds-function :case-maxmin
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:downsample-rate 0.1
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:case-t-size 20
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:tournament-size 5
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:umad-rate 0.1
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:variation {:umad 1.0 :crossover 0.0}
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:elitism false}
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(apply hash-map (map #(if (string? %) (read-string %) %) args)))))
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