A Rust port of the Ebisu v3 flashcard quiz scheduling library.
This library uses [rust-GSL](https://crates.io/crates/GSL) which are Rust bindings for GSL. In
order to use this library
[the GSL library needs to be installed](https://docs.rs/GSL/6.0.0/rgsl/index.html#installation).
# Usage example
```rust
// Initialize the model with the first argument representing the half-life of the recall.
// It is 10 units of time (minutes, hours, days, etc.), meaning after 10 units of time have
// passed the probability of recall is 0.5. The second argument specifies how much boost to
// apply after a successful update.
let mut model = Model::from_priors(Gamma::new(1.0, 0.1)?, Gamma::new(4.5, 3.0)?)?;
// Updates the recall with a quiz that took place 2 units of time after the creaton of the
// model where the user had 2 correct responses out of 3.
model.update_recall(
Quiz::new(
2.0,
Outcome::Binomial {
successes: 2,
total: 3,
},
)?,
Default::default(),
Default::default(),
);
// Updates the recall with a quiz that took place 1 unit of time after the last update where the
// user had 1 correct response out of 1.
model.update_recall(
Quiz::new(
1.0,
Outcome::Binomial {
successes: 1,
total: 1,
},
)?,
Default::default(),
Default::default(),
);
// Updates the recall with a quiz that took place 1 unit of time after the last update where the
// user responded correctly 70% of the time.
model.update_recall(
Quiz::new(2.5, Outcome::Noisy(0.7))?,
Default::default(),
Default::default(),
);
// Updates the recall to be more accurate. This can be called as often as needed, even after
// every quiz update, but it is a more expensive operation.
model.update_recall_history(Default::default());
let recall_probability = model.predict_recall_ln(3.0).exp();
```