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chore: add efficiency and one billion series experiments #463

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merged 8 commits into from
Sep 4, 2024

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@jmoralez jmoralez commented Sep 3, 2024

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github-actions bot commented Sep 4, 2024

Experiment Results

Experiment 1: air-passengers

Description:

variable experiment
h 12
season_length 12
freq MS
level None
n_windows 1

Results:

metric timegpt-1 timegpt-1-long-horizon SeasonalNaive Naive
mae 12.6793 11.0623 47.8333 76
mape 0.027 0.0232 0.0999 0.1425
mse 213.936 199.132 2571.33 10604.2
total_time 0.9929 0.6793 0.0054 0.004

Plot:

Experiment 2: air-passengers

Description:

variable experiment
h 24
season_length 12
freq MS
level None
n_windows 1

Results:

metric timegpt-1 timegpt-1-long-horizon SeasonalNaive Naive
mae 58.1031 58.4587 71.25 115.25
mape 0.1257 0.1267 0.1552 0.2358
mse 4040.22 4110.79 5928.17 18859.2
total_time 0.9284 0.5662 0.0044 0.004

Plot:

Experiment 3: electricity-multiple-series

Description:

variable experiment
h 24
season_length 24
freq H
level None
n_windows 1

Results:

metric timegpt-1 timegpt-1-long-horizon SeasonalNaive Naive
mae 178.293 268.121 269.23 1331.02
mape 0.0234 0.0311 0.0304 0.1692
mse 121588 219457 213677 4.68961e+06
total_time 0.5959 3.2593 0.0056 0.0051

Plot:

Experiment 4: electricity-multiple-series

Description:

variable experiment
h 168
season_length 24
freq H
level None
n_windows 1

Results:

metric timegpt-1 timegpt-1-long-horizon SeasonalNaive Naive
mae 465.532 346.984 398.956 1119.26
mape 0.062 0.0437 0.0512 0.1583
mse 835120 403787 656723 3.17316e+06
total_time 0.6701 0.7175 0.0057 0.0051

Plot:

Experiment 5: electricity-multiple-series

Description:

variable experiment
h 336
season_length 24
freq H
level None
n_windows 1

Results:

metric timegpt-1 timegpt-1-long-horizon SeasonalNaive Naive
mae 558.649 459.769 602.926 1340.95
mape 0.0697 0.0566 0.0787 0.17
mse 1.22721e+06 739135 1.61572e+06 6.04619e+06
total_time 0.9486 0.8791 0.006 0.0054

Plot:

@AzulGarza AzulGarza self-requested a review September 4, 2024 18:49
@AzulGarza AzulGarza marked this pull request as ready for review September 4, 2024 18:49
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github-actions bot commented Sep 4, 2024

Experiment Results

Experiment 1: air-passengers

Description:

variable experiment
h 12
season_length 12
freq MS
level None
n_windows 1

Results:

metric timegpt-1 timegpt-1-long-horizon SeasonalNaive Naive
mae 12.6793 11.0623 47.8333 76
mape 0.027 0.0232 0.0999 0.1425
mse 213.936 199.132 2571.33 10604.2
total_time 1.194 0.7597 0.0074 0.0044

Plot:

Experiment 2: air-passengers

Description:

variable experiment
h 24
season_length 12
freq MS
level None
n_windows 1

Results:

metric timegpt-1 timegpt-1-long-horizon SeasonalNaive Naive
mae 58.1031 58.4587 71.25 115.25
mape 0.1257 0.1267 0.1552 0.2358
mse 4040.21 4110.79 5928.17 18859.2
total_time 1.0274 0.9003 0.0047 0.0045

Plot:

Experiment 3: electricity-multiple-series

Description:

variable experiment
h 24
season_length 24
freq H
level None
n_windows 1

Results:

metric timegpt-1 timegpt-1-long-horizon SeasonalNaive Naive
mae 178.293 268.121 269.23 1331.02
mape 0.0234 0.0311 0.0304 0.1692
mse 121588 219457 213677 4.68961e+06
total_time 0.7391 1.8491 0.0053 0.0052

Plot:

Experiment 4: electricity-multiple-series

Description:

variable experiment
h 168
season_length 24
freq H
level None
n_windows 1

Results:

metric timegpt-1 timegpt-1-long-horizon SeasonalNaive Naive
mae 465.532 346.984 398.956 1119.26
mape 0.062 0.0437 0.0512 0.1583
mse 835120 403787 656723 3.17316e+06
total_time 1.0554 2.5534 0.0056 0.0057

Plot:

Experiment 5: electricity-multiple-series

Description:

variable experiment
h 336
season_length 24
freq H
level None
n_windows 1

Results:

metric timegpt-1 timegpt-1-long-horizon SeasonalNaive Naive
mae 558.649 459.769 602.926 1340.95
mape 0.0697 0.0566 0.0787 0.17
mse 1.22721e+06 739135 1.61572e+06 6.04619e+06
total_time 1.368 1.9365 0.0057 0.0068

Plot:

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github-actions bot commented Sep 4, 2024

Experiment Results

Experiment 1: air-passengers

Description:

variable experiment
h 12
season_length 12
freq MS
level None
n_windows 1

Results:

metric timegpt-1 timegpt-1-long-horizon SeasonalNaive Naive
mae 12.6793 11.0623 47.8333 76
mape 0.027 0.0232 0.0999 0.1425
mse 213.936 199.132 2571.33 10604.2
total_time 0.6184 0.7996 0.0059 0.0038

Plot:

Experiment 2: air-passengers

Description:

variable experiment
h 24
season_length 12
freq MS
level None
n_windows 1

Results:

metric timegpt-1 timegpt-1-long-horizon SeasonalNaive Naive
mae 58.1031 58.4587 71.25 115.25
mape 0.1257 0.1267 0.1552 0.2358
mse 4040.21 4110.79 5928.17 18859.2
total_time 0.6013 0.4889 0.0045 0.004

Plot:

Experiment 3: electricity-multiple-series

Description:

variable experiment
h 24
season_length 24
freq H
level None
n_windows 1

Results:

metric timegpt-1 timegpt-1-long-horizon SeasonalNaive Naive
mae 178.293 268.121 269.23 1331.02
mape 0.0234 0.0311 0.0304 0.1692
mse 121588 219457 213677 4.68961e+06
total_time 0.5216 0.6169 0.0051 0.0048

Plot:

Experiment 4: electricity-multiple-series

Description:

variable experiment
h 168
season_length 24
freq H
level None
n_windows 1

Results:

metric timegpt-1 timegpt-1-long-horizon SeasonalNaive Naive
mae 465.532 346.984 398.956 1119.26
mape 0.062 0.0437 0.0512 0.1583
mse 835120 403787 656723 3.17316e+06
total_time 0.597 1.0689 0.0057 0.0051

Plot:

Experiment 5: electricity-multiple-series

Description:

variable experiment
h 336
season_length 24
freq H
level None
n_windows 1

Results:

metric timegpt-1 timegpt-1-long-horizon SeasonalNaive Naive
mae 558.649 459.769 602.926 1340.95
mape 0.0697 0.0566 0.0787 0.17
mse 1.22721e+06 739135 1.61572e+06 6.04619e+06
total_time 0.832 0.589 0.0058 0.0052

Plot:

@jmoralez jmoralez merged commit 0f96775 into main Sep 4, 2024
12 checks passed
@jmoralez jmoralez deleted the add-experiments branch September 4, 2024 19:13
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2 participants