parent
fb05e430c0
commit
329ac92c5e
@ -317,16 +317,16 @@ deck-config-which-deck = Which deck would you like to display options for?
|
|||||||
## Messages related to the FSRS scheduler
|
## Messages related to the FSRS scheduler
|
||||||
|
|
||||||
deck-config-updating-cards = Updating cards: { $current_cards_count }/{ $total_cards_count }...
|
deck-config-updating-cards = Updating cards: { $current_cards_count }/{ $total_cards_count }...
|
||||||
deck-config-invalid-weights = Weights must be either left blank to use the defaults, or must be 17 comma-separated numbers.
|
deck-config-invalid-weights = Parameters must be either left blank to use the defaults, or must be 17 comma-separated numbers.
|
||||||
deck-config-not-enough-history = Insufficient review history to perform this operation.
|
deck-config-not-enough-history = Insufficient review history to perform this operation.
|
||||||
deck-config-must-have-1000-reviews =
|
deck-config-must-have-1000-reviews =
|
||||||
{ $count ->
|
{ $count ->
|
||||||
[one] Only { $count } review was found.
|
[one] Only { $count } review was found.
|
||||||
*[other] Only { $count } reviews were found.
|
*[other] Only { $count } reviews were found.
|
||||||
} You must have at least 1000 reviews to generate custom weights.
|
} You must have at least 1000 reviews to generate custom parameters.
|
||||||
# Numbers that control how aggressively the FSRS algorithm schedules cards
|
# Numbers that control how aggressively the FSRS algorithm schedules cards
|
||||||
deck-config-weights = Model weights
|
deck-config-weights = FSRS parameters
|
||||||
deck-config-compute-optimal-weights = Optimize FSRS weights
|
deck-config-compute-optimal-weights = Optimize FSRS parameters
|
||||||
deck-config-compute-optimal-retention = Compute optimal retention
|
deck-config-compute-optimal-retention = Compute optimal retention
|
||||||
deck-config-optimize-button = Optimize
|
deck-config-optimize-button = Optimize
|
||||||
deck-config-compute-button = Compute
|
deck-config-compute-button = Compute
|
||||||
@ -362,11 +362,12 @@ deck-config-sm2-retention-tooltip =
|
|||||||
missing review logs. Since review logs typically won't be missing unless you explicitly deleted them
|
missing review logs. Since review logs typically won't be missing unless you explicitly deleted them
|
||||||
to free up space, most users will not need to adjust this.
|
to free up space, most users will not need to adjust this.
|
||||||
deck-config-weights-tooltip =
|
deck-config-weights-tooltip =
|
||||||
Model weights affect how cards are scheduled. Once you've accumulated 1000+ reviews, you can optimize
|
FSRS parameters affect how cards are scheduled. Anki will start with default parameters. Once
|
||||||
the weights below.
|
you've accumulated 1000+ reviews, you can use the option below to optimize the parameters to best
|
||||||
|
match your performance in decks using this preset.
|
||||||
deck-config-reschedule-cards-on-change-tooltip =
|
deck-config-reschedule-cards-on-change-tooltip =
|
||||||
This option controls whether the due dates of cards will be changed when you enable FSRS, or change
|
This option controls whether the due dates of cards will be changed when you enable FSRS, or optimize
|
||||||
the weights. The default is not to reschedule cards: future reviews will use the new scheduling, but
|
the parameters. The default is not to reschedule cards: future reviews will use the new scheduling, but
|
||||||
there will be no immediate change to your workload. If rescheduling is enabled, the due dates of cards
|
there will be no immediate change to your workload. If rescheduling is enabled, the due dates of cards
|
||||||
will be changed.
|
will be changed.
|
||||||
deck-config-reschedule-cards-warning =
|
deck-config-reschedule-cards-warning =
|
||||||
@ -374,14 +375,14 @@ deck-config-reschedule-cards-warning =
|
|||||||
due, so is not recommended when first switching from SM2.
|
due, so is not recommended when first switching from SM2.
|
||||||
deck-config-compute-optimal-weights-tooltip =
|
deck-config-compute-optimal-weights-tooltip =
|
||||||
Once you've done 1000+ reviews in Anki, you can use the Optimize button to analyze your review history,
|
Once you've done 1000+ reviews in Anki, you can use the Optimize button to analyze your review history,
|
||||||
and automatically generate weights that are optimal for your memory and the content you're studying.
|
and automatically generate parameters that are optimal for your memory and the content you're studying.
|
||||||
If you have decks that vary wildly in difficulty, it is recommended to assign them separate presets, as
|
If you have decks that vary wildly in difficulty, it is recommended to assign them separate presets, as
|
||||||
the weights for easy decks and hard decks will be different. There is no need to optimize your weights
|
the parameters for easy decks and hard decks will be different. There is no need to optimize your parameters
|
||||||
frequently - once every few months is sufficient.
|
frequently - once every few months is sufficient.
|
||||||
|
|
||||||
By default, weights will be calculated from the review history of all decks using the current preset. You can
|
By default, parameters will be calculated from the review history of all decks using the current preset. You can
|
||||||
optionally adjust the search before calculating the weights, if you'd like to alter which cards are used for
|
optionally adjust the search before calculating the parameters, if you'd like to alter which cards are used for
|
||||||
optimizing the weights.
|
optimizing the parameters.
|
||||||
deck-config-compute-optimal-retention-tooltip =
|
deck-config-compute-optimal-retention-tooltip =
|
||||||
This tool assumes you're starting with 0 cards, and will attempt to calculate the amount of material you'll
|
This tool assumes you're starting with 0 cards, and will attempt to calculate the amount of material you'll
|
||||||
be able to retain in the given time frame. The estimated retention will greatly depend on your inputs, and
|
be able to retain in the given time frame. The estimated retention will greatly depend on your inputs, and
|
||||||
|
Loading…
Reference in New Issue
Block a user