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@SchrodingersCattt SchrodingersCattt commented Jul 29, 2025

feat: add Mean absolute percentage error (MAPE) loss for property prediction

Summary by CodeRabbit

  • New Features

    • Added support for the Mean Absolute Percentage Error (MAPE) as a selectable loss function and metric.
  • Documentation

    • Updated user-facing documentation to include "mape" as an option for loss function selection.

@SchrodingersCattt SchrodingersCattt changed the base branch from master to devel July 29, 2025 12:36
@github-actions github-actions bot added the Docs label Jul 29, 2025
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coderabbitai bot commented Jul 29, 2025

📝 Walkthrough

Walkthrough

Support for the "mape" (Mean Absolute Percentage Error) loss function and metric is added to the PropertyLoss class. This includes updating the constructor documentation and implementing the MAPE calculation in the forward method for both loss and metric reporting.

Changes

Cohort / File(s) Change Summary
PropertyLoss MAPE Support
deepmd/pt/loss/property.py
Added "mape" as a supported loss function and metric in PropertyLoss; updated docstring and implemented MAPE computation in forward.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~7 minutes

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  • deepmd/pt/loss/property.py (3 hunks)
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  • deepmd/pt/loss/property.py
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Actionable comments posted: 2

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between b494a0d and 8dae2fa.

📒 Files selected for processing (1)
  • deepmd/pt/loss/property.py (3 hunks)
🧰 Additional context used
🧬 Code Graph Analysis (1)
deepmd/pt/loss/property.py (1)
deepmd/driver.py (1)
  • label (42-75)
🪛 Ruff (0.12.2)
deepmd/pt/loss/property.py

192-192: f-string without any placeholders

Remove extraneous f prefix

(F541)

🔇 Additional comments (1)
deepmd/pt/loss/property.py (1)

45-45: LGTM!

The documentation correctly includes "mape" as a supported loss function option.

@SchrodingersCattt SchrodingersCattt changed the title feat: add Mean absolute percentage error (MAPE) loss for prop. pred. feat(pt): add Mean absolute percentage error (MAPE) loss for prop. pred. Jul 29, 2025
@njzjz njzjz enabled auto-merge July 29, 2025 17:15
@njzjz njzjz disabled auto-merge July 29, 2025 17:15
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codecov bot commented Jul 29, 2025

Codecov Report

❌ Patch coverage is 25.00000% with 3 lines in your changes missing coverage. Please review.
✅ Project coverage is 84.76%. Comparing base (43504d3) to head (04e3517).
⚠️ Report is 79 commits behind head on devel.

Files with missing lines Patch % Lines
deepmd/pt/loss/property.py 25.00% 3 Missing ⚠️
Additional details and impacted files
@@            Coverage Diff             @@
##            devel    #4854      +/-   ##
==========================================
- Coverage   84.76%   84.76%   -0.01%     
==========================================
  Files         699      699              
  Lines       68077    68080       +3     
  Branches     3541     3542       +1     
==========================================
+ Hits        57708    57710       +2     
- Misses       9235     9237       +2     
+ Partials     1134     1133       -1     

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@njzjz njzjz enabled auto-merge July 31, 2025 10:28
@njzjz njzjz closed this Aug 1, 2025
auto-merge was automatically disabled August 1, 2025 13:30

Pull request was closed

@njzjz njzjz reopened this Aug 1, 2025
@njzjz njzjz enabled auto-merge August 1, 2025 13:30
@njzjz njzjz added this pull request to the merge queue Aug 1, 2025
Merged via the queue into deepmodeling:devel with commit 1dc1248 Aug 1, 2025
104 of 106 checks passed
ChiahsinChu pushed a commit to ChiahsinChu/deepmd-kit that referenced this pull request Dec 17, 2025
…ed. (deepmodeling#4854)

feat: add Mean absolute percentage error (MAPE) loss for property
prediction

<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit

* **New Features**
* Added support for the Mean Absolute Percentage Error (MAPE) as a
selectable loss function and metric.

* **Documentation**
* Updated user-facing documentation to include "mape" as an option for
loss function selection.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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3 participants