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Converting a generic history of quizzes (times and results) to an Ebisu model (given initial half-life and model parameters) to a Memorize schedule
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import ebisu | |
from memorizesrs import schedule | |
from datetime import datetime, timedelta | |
from math import inf | |
learnTime = datetime(2020, 1, 27, 0, 0, 0) | |
reviewTimes = [ | |
learnTime + timedelta(hours=1.1), learnTime + timedelta(hours=4.4), | |
learnTime + timedelta(hours=22.0), learnTime + timedelta(days=2.4) | |
] | |
reviewResults = [False, True, True, True] | |
initialModel = ebisu.defaultModel(0.25, 2.0) # initial half-life = quarter-hour, α=β=2 | |
def historyToEbisuModel(learnTime, initialModel, reviewTimes, reviewResults): | |
"""Convert history of quizzes to Ebisu model""" | |
assert len(reviewTimes) == len(reviewResults) | |
previousTime = learnTime | |
model = initialModel | |
for (reviewTime, result) in zip(reviewTimes, reviewResults): | |
model = ebisu.updateRecall(model, result, (reviewTime - previousTime).total_seconds() / 3600) | |
previousTime = reviewTime | |
return model | |
def ebisuModelToMemorizeInterval(model, q=10.0, T=inf): | |
"""Use an Ebisu model to draw a MEMORIZE interval""" | |
return schedule(lambda t: ebisu.predictRecall(initialModel, t, exact=True), q, T) | |
def ebisuModelToInterval(model, pRecall): | |
"""When with an Ebisu model decay to a certain recall probability?""" | |
return ebisu.modelToPercentileDecay(model, pRecall) | |
ebisuModel = historyToEbisuModel(learnTime, initialModel, reviewTimes, reviewResults) | |
dueIn = ebisuModelToMemorizeInterval(ebisuModel, q=10.0, T=inf) | |
print("MEMORIZE Quiz due in {} hours".format(dueIn)) | |
print("Ebisu Quiz due in {} hours".format(ebisuModelToInterval(ebisuModel, 0.25))) | |
try: | |
import pandas as pd | |
print("\n\nMonte Carlo analysis:\n") | |
for model in [initialModel, ebisuModel]: | |
print("Ebisu halflife={} hours".format(ebisu.modelToPercentileDecay(model))) | |
print(pd.DataFrame([ebisuModelToMemorizeInterval(model) for n in range(10_000)]).describe()) | |
except: | |
print("Didn't run pandas analysis") |
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