LSTMs [...] for all sequence prediction problems. For example, in time series forecasting, often the information relevant for making a forecast is within a small window of past observations
Answer
may not be ideal
status
not learned
measured difficulty
37% [default]
last interval [days]
repetition number in this series
0
memorised on
scheduled repetition
scheduled repetition interval
last repetition or drill
Parent (intermediate) annotation
Open it LSTMs may not be ideal for all sequence prediction problems. For example, in time series forecasting, often the information relevant for making a forecast is within a small window of past observations