Implements first case subsampling function.
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@ -1,5 +1,7 @@
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(ns propeller.downsample
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(:require [propeller.tools.math :as math]))
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(:require [propeller.tools.math :as math]
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[propeller.tools.metrics :as metrics]
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[propeller.utils :as utils]))
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(defn assign-indices-to-data
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"assigns an index to each training case in order to differentiate them when downsampling"
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@ -18,6 +20,32 @@
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[training-data {:keys [downsample-rate]}]
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(take (int (* downsample-rate (count training-data))) (shuffle training-data)))
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(defn select-downsample-tournament
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"uses case-tournament selection to select a downsample that is biased to being spread out"
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[training-data {:keys [downsample-rate case-t-size]}]
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(let [shuffled-cases (shuffle training-data)
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goal-size (int (* downsample-rate (count training-data)))]
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(loop [new-downsample (conj [] (first shuffled-cases))
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cases-to-pick-from (rest shuffled-cases)]
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;(prn {:new-downsample new-downsample :cases-to-pick-from cases-to-pick-from})
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(if (>= (count new-downsample) goal-size)
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new-downsample
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(let [tournament (take case-t-size cases-to-pick-from)
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rest-of-cases (drop case-t-size cases-to-pick-from)
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case-distances (metrics/mean-of-colls
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(map (fn [distance-list]
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(utils/filter-by-index distance-list (map #(:index %) tournament)))
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(map #(:distances %) new-downsample)))
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selected-case-index (metrics/argmax case-distances)]
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(prn {:avg-case-distances case-distances :selected-case-index selected-case-index})
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(recur (conj new-downsample (nth tournament selected-case-index))
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(shuffle (concat (utils/drop-nth selected-case-index tournament)
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rest-of-cases))))))))
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(defn select-downsample-metalex
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"uses meta-lexicase selection to select a downsample that is biased to being spread out"
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[training-data {:keys [downsample-rate]}])
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(defn get-distance-between-cases
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"returns the distance between two cases given a list of individual error vectors, and the index these
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cases exist in the error vector"
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@ -54,7 +82,9 @@
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individuals performance on the each case in the ds-data, in order"
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[evaluated-pop ds-data training-data]
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(let [ds-indices (map #(:index %) ds-data) errors (map #(:errors %) evaluated-pop)]
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(merge-map-lists-at-index training-data
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(map-indexed (fn [idx d-case]
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(update-in d-case [:distances] #(update-at-indices %
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(map (fn [other] (get-distance-between-cases errors idx other)) (range (count ds-indices))) ds-indices))) ds-data))))
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(merge-map-lists-at-index
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training-data (map-indexed
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(fn [idx d-case] (update-in d-case
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[:distances] #(update-at-indices
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% (map (fn [other] (get-distance-between-cases errors idx other))
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(range (count ds-indices))) ds-indices))) ds-data))))
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@ -49,7 +49,9 @@
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(range population-size))
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indexed-training-data (downsample/assign-indices-to-data (downsample/initialize-case-distances argmap))]
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(let [training-data (if (= (:parent-selection argmap) :ds-lexicase)
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(downsample/select-downsample-random indexed-training-data argmap)
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(case (:ds-function argmap)
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:case-tournament (downsample/select-downsample-tournament indexed-training-data argmap)
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(downsample/select-downsample-random indexed-training-data argmap)) ;defaults to random
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indexed-training-data)
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evaluated-pop (sort-by :total-error
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(mapper
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@ -93,4 +95,6 @@
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(first evaluated-pop))
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(repeatedly population-size
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#(variation/new-individual evaluated-pop argmap)))
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(if (= (:parent-selection argmap) :ds-lexicase) (downsample/update-case-distances evaluated-pop training-data indexed-training-data) indexed-training-data))))))
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(if (= (:parent-selection argmap) :ds-lexicase)
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(downsample/update-case-distances evaluated-pop training-data indexed-training-data)
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indexed-training-data))))))
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