![]() ![]() MS2 year, I started to incorporate Zanki in. MS1 year was mainly studying lecture cards. This does mean, however, that the results will be slightly inaccurate, particularly if the actual correct percentage is significantly less than 100%. Its from the anki heat map add on and shows how many cards I did a day. The above code disables this by setting the percentage of correct cards to 100%, so the results are deterministic. ![]() This can be placed within the Anki addons directory, for example, at ~/.local/share/Anki2/addons21/review_forecast/_init_.py.Īnki Simulator by default uses the historical percentage of correct cards to forecast future load, thereby resulting in slightly different results each time it is run. Added a number of changes that should improve the rendering performance of the heatmap when switching between Anki screens.This option is enabled by default. append (]) # Review Heatmap expects negative numbers strptime ( entry, '%Y-%m-%d' ) dt += timedelta ( days = 1 ) # Appears to be necessary for some reason simulate () result_dt = for entry in result : if entry : dt = datetime. * len ( lapseSteps ), # percentagesCorrectForLapseSteps * len ( learningSteps ), # percentagesCorrectForLearningSteps LearningSteps, lapseSteps, conf, # graduatingIntervalĬonf, # newLapseIntervalĬonf, # maxInterval ReviewSimulator ( dateArray, 365, # daysToSimulateĬonf, # intervalModifierĬonf, # maxReviewsPerDay Len ( learningSteps ), len ( lapseSteps ), True, # includeOverdueCards generate_for_deck ( DECK_ID, 365, # daysToSimulateĬonf, # newCardsPerDayĬonf / 10.0, # startingEase confForDid ( DECK_ID ) learningSteps = conf lapseSteps = conf dateArray = col_sim. We can combine Anki Simulator with Review Heatmap to get the better forecasting that we desire.īelow is a simple Anki addon that extends Review Heatmap to make use of Anki Simulator:ĭECK_ID = 1234567890123 # replace with the deck ID of the deck you need to forecastįrom datetime import datetime, timedelta import review_heatmap from review_simulator import collection_simulator, review_simulator class MWStandin : pass def mp_cardsDue ( self, start = None, stop = None ): mw = MWStandin () mw. Similarly, in the screenshot above, I have limited my maximum review interval to 30 days, so Review Heatmap does not display any information beyond 30 days.Īnki Simulator is an addon that can ‘simulate Anki progress over time … to estimate your future workload’. ![]() Review Heatmap cannot natively handle this projection. For example, if I add a bunch of new cards today, I expect to see that I will have a heavy review load in 3 days when those cards are up for review, and regular periods thereafter. Download scientific diagram Heatmap matrix plot of correlations between logged antibody titres at each site. However, Review Heatmap bases its review forecasts only on cards' current intervals. It is handy to see at a glance whether there are any particularly heavy or light days coming up, and a colourful reward for regular reviews. 54.5K subscribers Subscribe 238 Share 29K views 3 years ago This video is about the Review Heatmap add-on 2.1 beta version. Review Heatmap is an addon for Anki that adds a heatmap showing past and future card review activity. ![]()
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