bkt.core — net.clojars.chrism/bkt 0.1.0

apply-bounds-to-parameters clj

(apply-bounds-to-parameters parameters bounds)

apply the min and max bounds to the BKT parameters

default-bounds clj

fit-model clj

(fit-model correct parameter-bounds)

guess-slip-bounds clj

init-bounds clj

init-params-constant clj

(init-params-constant value)

initialize all BKT params to some value

init-params-random clj

(init-params-random bounds)

initialize BKT parameters constrained to bounds

min-bounds clj

params-random-step clj

(params-random-step params bounds)

take a random step with BKT parameters constrained to bounds

predict-correct clj

(predict-correct rightwrong {:keys [init] :as params})

predict probability of correct for sequence of answers from 1 student

probability-correct clj

(probability-correct learn {:keys [slip guess]})

probability of the correctly applying the skill next

probability-learn-given-correct clj

(probability-learn-given-correct learn {:keys [slip guess transit]})

the probability of learning given correct observation

probability-learn-given-incorrect clj

(probability-learn-given-incorrect learn {:keys [slip guess transit]})

the probability of learning given correct observation

probability-learned clj

(probability-learned learn {:keys [transit]})

probability skill is learned given prior obs

rmse clj

(rmse predictions actuals)

calculate the Root Mean Square Error