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Feat/evaluate FSRS with time series split (#3962)

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Jarrett Ye 2025-06-03 16:26:33 +08:00 committed by GitHub
parent 37984233cc
commit 2de0c79ba5
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4 changed files with 18 additions and 17 deletions
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6
proto/anki/scheduler.proto
View file

@ -435,9 +435,9 @@ message GetOptimalRetentionParametersResponse {
}
message EvaluateParamsRequest {
repeated float params = 1;
string search = 2;
int64 ignore_revlogs_before_ms = 3;
string search = 1;
int64 ignore_revlogs_before_ms = 2;
uint32 num_of_relearning_steps = 3;
}
message EvaluateParamsResponse {

25
rslib/src/scheduler/fsrs/params.rs
View file

@ -115,15 +115,14 @@ impl Collection {
num_relearning_steps: Some(num_of_relearning_steps),
})?;
progress_thread.join().ok();
if let Ok(fsrs) = FSRS::new(Some(current_params)) {
let current_log_loss = fsrs.evaluate(items.clone(), |_| true)?.log_loss;
if let Ok(current_fsrs) = FSRS::new(Some(current_params)) {
let current_log_loss = current_fsrs.evaluate(items.clone(), |_| true)?.log_loss;
let optimized_fsrs = FSRS::new(Some(&params))?;
let optimized_log_loss = optimized_fsrs.evaluate(items.clone(), |_| true)?.log_loss;
if current_log_loss <= optimized_log_loss {
if num_of_relearning_steps <= 1 {
params = current_params.to_vec();
} else {
let current_fsrs = FSRS::new(Some(current_params))?;
let memory_state = MemoryState {
stability: 1.0,
difficulty: 1.0,
@ -218,22 +217,24 @@ impl Collection {
pub fn evaluate_params(
&mut self,
params: &Params,
search: &str,
ignore_revlogs_before: TimestampMillis,
num_of_relearning_steps: usize,
) -> Result<ModelEvaluation> {
let timing = self.timing_today()?;
let mut anki_progress = self.new_progress_handler::<ComputeParamsProgress>();
let guard = self.search_cards_into_table(search, SortMode::NoOrder)?;
let revlogs: Vec<RevlogEntry> = guard
.col
.storage
.get_revlog_entries_for_searched_cards_in_card_order()?;
let revlogs = self.revlog_for_srs(search)?;
let (items, review_count) =
fsrs_items_for_training(revlogs, timing.next_day_at, ignore_revlogs_before);
let mut anki_progress = self.new_progress_handler::<ComputeParamsProgress>();
anki_progress.state.reviews = review_count as u32;
let fsrs = FSRS::new(Some(params))?;
Ok(fsrs.evaluate(items, |ip| {
let fsrs = FSRS::new(None)?;
let input = ComputeParametersInput {
train_set: items.clone(),
progress: None,
enable_short_term: true,
num_relearning_steps: Some(num_of_relearning_steps),
};
Ok(fsrs.evaluate_with_time_series_splits(input, |ip| {
anki_progress
.update(false, |p| {
p.total_iterations = ip.total as u32;

2
rslib/src/scheduler/service/mod.rs
View file

@ -295,9 +295,9 @@ impl crate::services::SchedulerService for Collection {
input: scheduler::EvaluateParamsRequest,
) -> Result<scheduler::EvaluateParamsResponse> {
let ret = self.evaluate_params(
&input.params,
&input.search,
input.ignore_revlogs_before_ms.into(),
input.num_of_relearning_steps as usize,
)?;
Ok(scheduler::EvaluateParamsResponse {
log_loss: ret.log_loss,

2
ts/routes/deck-options/FsrsOptions.svelte
View file

@ -229,9 +229,9 @@ License: GNU AGPL, version 3 or later; http://www.gnu.org/licenses/agpl.html
? $config.paramSearch
: defaultparamSearch;
const resp = await evaluateParams({
params: fsrsParams($config),
search,
ignoreRevlogsBeforeMs: getIgnoreRevlogsBeforeMs(),
numOfRelearningSteps: $config.relearnSteps.length,
});
if (computeParamsProgress) {
computeParamsProgress.current = computeParamsProgress.total;