Skip to content

[ENH] EXPERIMENTAL: TFT model based on the new data pipeline #1812

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

Open
wants to merge 12 commits into
base: main
Choose a base branch
from

Conversation

phoeenniixx
Copy link

Description

This PR implements the tft model based on the new data pipeline. This PR is branched off from #1811

@phoeenniixx phoeenniixx changed the title Refactor model [ENH] EXPERIMENTAL: TFT model based on the new data pipeline Apr 6, 2025
Copy link

codecov bot commented Apr 7, 2025

Codecov Report

Attention: Patch coverage is 1.82292% with 377 lines in your changes missing coverage. Please review.

Please upload report for BASE (main@e87230b). Learn more about missing BASE report.

Files with missing lines Patch % Lines
pytorch_forecasting/data/data_module.py 0.00% 157 Missing ⚠️
...els/temporal_fusion_transformer/tft_version_two.py 0.00% 77 Missing ⚠️
...rch_forecasting/models/base/base_model_refactor.py 0.00% 73 Missing ⚠️
pytorch_forecasting/data/timeseries.py 9.09% 70 Missing ⚠️
Additional details and impacted files
@@           Coverage Diff           @@
##             main    #1812   +/-   ##
=======================================
  Coverage        ?   81.02%           
=======================================
  Files           ?       49           
  Lines           ?     5685           
  Branches        ?        0           
=======================================
  Hits            ?     4606           
  Misses          ?     1079           
  Partials        ?        0           
Flag Coverage Δ
cpu 81.02% <1.82%> (?)
pytest 81.02% <1.82%> (?)

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:
  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
Development

Successfully merging this pull request may close these issues.

1 participant