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Fix random_state typing #18

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merged 1 commit into from
May 27, 2024

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@avishniakov avishniakov commented May 24, 2024

Wrong type used in inference pipeline: observed with Pydantic v2, not impacting Pydantic v1 release, though.

Summary by CodeRabbit

  • Improvements
    • Enhanced stability and predictability of the inference function by updating the random_state parameter type from str to int.

@avishniakov avishniakov requested a review from bcdurak May 24, 2024 14:05
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coderabbitai bot commented May 24, 2024

Walkthrough

The inference function in template/pipelines/inference.py has been updated to change the type of the random_state parameter from str to int. This alteration ensures that the random state is correctly handled as an integer, which is typically required for seeding random number generators in data processing and machine learning pipelines.

Changes

File Path Change Summary
template/pipelines/inference.py Changed random_state parameter type from str to int

🐇✨
In the code where numbers dance,
A change was made, a fresh new chance.
From string to int, the state did switch,
To make our random seeds enrich.
So let the pipelines flow with grace,
As integers now take their place.
🌟

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Actionable comments posted: 0

Review Details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits Files that changed from the base of the PR and between 81a90ba and 93296db.
Files selected for processing (1)
  • template/pipelines/inference.py (1 hunks)
Files skipped from review due to trivial changes (1)
  • template/pipelines/inference.py

@avishniakov avishniakov merged commit a24daa8 into main May 27, 2024
13 checks passed
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