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fix: add model to cross validation path call #335

Merged
merged 4 commits into from
May 5, 2024
Merged

fix: add model to cross validation path call #335

merged 4 commits into from
May 5, 2024

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AzulGarza
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this pr adds model argument to the cross validation path to the api. before, it was not needed since we were looping using the forecast method. a test was added.

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github-actions bot commented May 5, 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 3.8794 3.489 0.0084 0.0047

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 3.4919 3.5408 0.0057 0.0048

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 142.394 196.363 269.23 1331.02
mape 0.0203 0.0234 0.0304 0.1692
mse 63464.7 123119 213677 4.68961e+06
total_time 3.501 3.9909 0.0081 0.0071

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 522.427 353.528 398.956 1119.26
mape 0.069 0.0454 0.0512 0.1583
mse 966294 422332 656723 3.17316e+06
total_time 4.6744 4.0022 0.0075 0.0069

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 478.362 361.033 602.926 1340.95
mape 0.0622 0.046 0.0787 0.17
mse 805039 441118 1.61572e+06 6.04619e+06
total_time 5.9267 9.7076 0.0078 0.0071

Plot:

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github-actions bot commented May 5, 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 7.3412 4.5507 0.0085 0.0047

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 4.9372 3.6996 0.0057 0.0046

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 142.394 196.363 269.23 1331.02
mape 0.0203 0.0234 0.0304 0.1692
mse 63464.7 123119 213677 4.68961e+06
total_time 6.4791 5.163 0.0078 0.0067

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 522.427 353.528 398.956 1119.26
mape 0.069 0.0454 0.0512 0.1583
mse 966294 422332 656723 3.17316e+06
total_time 15.7403 18.4254 0.0074 0.0069

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 478.362 361.033 602.926 1340.95
mape 0.0622 0.046 0.0787 0.17
mse 805039 441118 1.61572e+06 6.04619e+06
total_time 15.5208 24.8694 0.0076 0.007

Plot:

@github-actions GitHub Actions
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github-actions bot commented May 5, 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 25.9058 13.9526 0.0085 0.0047

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 18.5109 19.8406 0.0059 0.0048

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 142.394 196.363 269.23 1331.02
mape 0.0203 0.0234 0.0304 0.1692
mse 63464.7 123119 213677 4.68961e+06
total_time 25.7583 27.4199 0.0078 0.0068

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 522.427 353.528 398.956 1119.26
mape 0.069 0.0454 0.0512 0.1583
mse 966294 422332 656723 3.17316e+06
total_time 27.6053 25.0155 0.0076 0.007

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 478.362 361.033 602.926 1340.95
mape 0.0622 0.046 0.0787 0.17
mse 805039 441118 1.61572e+06 6.04619e+06
total_time 26.3317 25.1817 0.0076 0.007

Plot:

@github-actions GitHub Actions
Copy link
Contributor

github-actions bot commented May 5, 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 6.2895 6.5549 0.0086 0.0048

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 6.9374 6.4747 0.0058 0.0047

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 142.394 196.363 269.23 1331.02
mape 0.0203 0.0234 0.0304 0.1692
mse 63464.8 123119 213677 4.68961e+06
total_time 6.9911 6.8137 0.0079 0.0069

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 522.427 353.528 398.956 1119.26
mape 0.069 0.0454 0.0512 0.1583
mse 966294 422332 656723 3.17316e+06
total_time 7.9732 13.0158 0.0074 0.0068

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 478.362 361.033 602.926 1340.95
mape 0.0622 0.046 0.0787 0.17
mse 805039 441118 1.61572e+06 6.04619e+06
total_time 16.3591 8.6359 0.0075 0.0068

Plot:

@AzulGarza AzulGarza merged commit cbce253 into main May 5, 2024
14 checks passed
@AzulGarza AzulGarza deleted the fix/add-model-to-cv branch May 5, 2024 05:03
mergenthaler pushed a commit that referenced this pull request May 8, 2024
@AzulGarza @mergenthaler
fix: add model to cross validation path call (#335)
94230b9
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@AzulGarza