Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

docs: broken links in intro notebook #527

Merged
merged 1 commit into from
Nov 5, 2024
Merged

docs: broken links in intro notebook #527

merged 1 commit into from
Nov 5, 2024

Conversation

ngupta23
Copy link
Member

@ngupta23 ngupta23 commented Nov 4, 2024

No description provided.

@ngupta23 ngupta23 requested a review from marcopeix November 4, 2024 20:58
Copy link

Check out this pull request on  ReviewNB

See visual diffs & provide feedback on Jupyter Notebooks.


Powered by ReviewNB

@CLAassistant
Copy link

CLAassistant commented Nov 4, 2024

CLA assistant check
All committers have signed the CLA.

@ngupta23 ngupta23 requested a review from AzulGarza November 4, 2024 20:58
Copy link
Contributor

github-actions bot commented Nov 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 1.1639 0.9157 0.0055 0.0041

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 0.7186 1.3241 0.0045 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 178.293 268.129 269.23 1331.02
mape 0.0234 0.0311 0.0304 0.1692
mse 121586 219467 213677 4.68961e+06
total_time 0.7695 0.8737 0.0052 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 465.496 346.976 398.956 1119.26
mape 0.062 0.0436 0.0512 0.1583
mse 835064 403762 656723 3.17316e+06
total_time 0.8709 0.845 0.0056 0.005

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 558.684 459.764 602.926 1340.95
mape 0.0697 0.0565 0.0787 0.17
mse 1.2272e+06 739132 1.61572e+06 6.04619e+06
total_time 0.996 0.9831 0.0058 0.0053

Plot:

Copy link
Member

@AzulGarza AzulGarza left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

thank you @ngupta23! lgtm:)

@ngupta23 ngupta23 merged commit 9cb01d8 into main Nov 5, 2024
12 checks passed
@ngupta23 ngupta23 deleted the doc/clean_notebooks branch November 5, 2024 00:21
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

Successfully merging this pull request may close these issues.

None yet

4 participants