Skip to content

Conversation

@ablaom
Copy link
Member

@ablaom ablaom commented Jul 6, 2022

In this PR we:

  • Add rng as a hyper-parameter in the AdaBoostStumpClassifier model
  • (testing) Implement StableRNGs throughout testing to address observed inconsistencies in CI

@ablaom ablaom requested a review from rikhuijzer July 6, 2022 00:44
@ablaom ablaom mentioned this pull request Jul 6, 2022
@codecov-commenter
Copy link

codecov-commenter commented Jul 6, 2022

Codecov Report

Merging #26 (64fdd5c) into dev (d78f219) will not change coverage.
The diff coverage is 100.00%.

@@           Coverage Diff           @@
##              dev      #26   +/-   ##
=======================================
  Coverage   86.20%   86.20%           
=======================================
  Files           1        1           
  Lines          87       87           
=======================================
  Hits           75       75           
  Misses         12       12           
Impacted Files Coverage Δ
src/MLJDecisionTreeInterface.jl 86.20% <100.00%> (ø)

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update d78f219...64fdd5c. Read the comment docs.

@ablaom ablaom merged commit 82ba27c into dev Jul 6, 2022
ablaom added a commit that referenced this pull request Jul 6, 2022
* Implement StableRNGs throughout tests to fix reproducibility problems in CI (#26)

* add StableRNGs

* bump compat DecisionTree = "0.11"

* fix an invalid test

* add rng as hyper-parameter for AdaBoostStumpClassifier

* update docstring

* add reproducibility test for AdaBoostStumpClassifier

* srng -> stable_rng to improve readability of code

* bump 0.2.3
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

4 participants