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[DOC] add faq on simple data forecast #588

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@Yibei990826 Yibei990826 marked this pull request as draft January 15, 2025 07:28
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github-actions bot commented Jan 15, 2025

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 0.6248 0.4753 0.0053 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 4040.22 4110.79 5928.17 18859.2
total_time 0.4909 0.5263 0.0042 0.0041

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 0.6733 0.7834 0.0052 0.0054

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 0.5402 0.6786 0.0058 0.0052

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 0.9866 1.0762 0.0057 0.0053

Plot:

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Yibei990826 commented Jan 15, 2025

I'm adding the FAQ section for synthetic data forecast here.
Still need to work on:

  • refine the section and provide more context
  • add data sample
  • add video/tutorials for making forecast using playground in dashboard

@Yibei990826 Yibei990826 requested a review from cchallu January 16, 2025 16:21
@Yibei990826 Yibei990826 marked this pull request as ready for review January 16, 2025 16:21
@Yibei990826 Yibei990826 changed the title add faq on synthetic data forecast add faq on simple data forecast Jan 16, 2025
@Yibei990826 Yibei990826 changed the title add faq on simple data forecast [DOC]: add faq on simple data forecast Jan 17, 2025
@Yibei990826 Yibei990826 changed the title [DOC]: add faq on simple data forecast [DOC] add faq on simple data forecast Jan 17, 2025
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@Yibei990826 LGTM, can you make sure to follow the steps in the Contributing.md guide to make sure the docs are displayed properly on both readme.com and Nixtlaverse?

@elephaint elephaint removed the request for review from cchallu February 11, 2025 08:32
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3 participants