Expt/add different weights to same-day and non-same-day reviews

[L-M-Sherlock]

No description provided.

[Expertium]

Thank you. Though, after doing some more tests, it now seems that FSRS-7 is worse tthan FSRS-6 at non-same-day reviews regardless

Model: FSRS-7-secs-recency-equalize_test_with_non_secs
Total number of users: 1000
Total number of reviews: 32668830
Weighted average by users:
FSRS-7-secs-recency-equalize_test_with_non_secs LogLoss (mean±std): 0.3609±0.1708
FSRS-7-secs-recency-equalize_test_with_non_secs RMSE(bins) (mean±std): 0.0718±0.0455

Model: FSRS-7-recency
Total number of users: 1000
Total number of reviews: 32668830
Weighted average by users:
FSRS-7-recency LogLoss (mean±std): 0.3603±0.1681
FSRS-7-recency RMSE(bins) (mean±std): 0.0693±0.0432

Model: FSRS-6-secs-recency-equalize_test_with_non_secs
Total number of users: 1000
Total number of reviews: 32668830
Weighted average by users:
FSRS-6-secs-recency-equalize_test_with_non_secs LogLoss (mean±std): 0.3790±0.1803
FSRS-6-secs-recency-equalize_test_with_non_secs RMSE(bins) (mean±std): 0.0907±0.0555

Model: FSRS-6-recency
Total number of users: 1000
Total number of reviews: 32668830
Weighted average by users:
FSRS-6-recency LogLoss (mean±std): 0.3555±0.1653
FSRS-6-recency RMSE(bins) (mean±std): 0.0634±0.0405

So I probably won't need to weigh same-day reviews and non-same-day reviews differently, and instead I'll look for other ways to improve FSRS-7.