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Use greedyMSE for caretEnsemble #306

Merged
merged 2 commits into from
Aug 8, 2024
Merged

Use greedyMSE for caretEnsemble #306

merged 2 commits into from
Aug 8, 2024

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zachmayer
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coderabbitai bot commented Aug 8, 2024

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Walkthrough

The recent updates to the caretEnsemble package introduce several enhancements aimed at improving model handling and tuning flexibility. Key changes include the removal of the check_binary_classification function, the addition of parameters like excluded_class_id and tuneLength in the caretEnsemble function, and an updated approach for calculating variable importance in visualizations. These modifications streamline the codebase, enhance usability, and improve the robustness of predictions and evaluations.

Changes

Files Change Summary
R/caretEnsemble.R Removed check_binary_classification; added excluded_class_id and tuneLength parameters to caretEnsemble; modified internal calls to caretStack and changed stacking method.
R/caretStack.R Updated autoplot.caretStack to use caret::varImp for variable importance instead of coefficients, enhancing visualizations.
R/greedyOpt.R Improved control flow in predict.greedyMSE, adjusting behavior based on return_labels parameter to enhance clarity.
inst/WORDLIST Added new variable unintuitive.
man/caretEnsemble.Rd Enhanced documentation of caretEnsemble, clarifying new parameters and function behavior, and removed note about missing values.
tests/testthat/test-caretEnsemble.R Improved error handling for NA values, increased cross-validation folds, and tightened prediction tolerances.
tests/testthat/test-ensembleMethods.R Enhanced tests for caret::varImp.caretEnsemble to consider model types, improving robustness.
tests/testthat/test-greedyMSE.R Updated expected output type for predict function, changing from "matrix" to "numeric".
tests/testthat/test-helper_functions.R Removed test case for check_binary_classification.
tests/testthat/test-multiclass.R Removed test case validating error handling for caretEnsemble with multiclass data, indicating a potential shift in the function's relevance for such cases.

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Actionable comments posted: 0

Outside diff range, codebase verification and nitpick comments (3)
R/caretEnsemble.R (1)

22-26: Ensure parameter documentation clarity.

The description for excluded_class_id and tuneLength should clearly explain their roles and default values. Ensure users understand the impact of these parameters on the function's behavior.

man/caretEnsemble.Rd (2)

14-16: Clarify the excluded_class_id parameter description.

The description should clearly state what happens when a class is excluded and the implications for model performance.


18-19: Clarify the tuneLength parameter description.

Ensure users understand how tuneLength affects the tuning process and why the default value is set to 1.

Review details

Configuration used: .coderabbit.yaml
Review profile: CHILL

Commits

Files that changed from the base of the PR and between 5df7e14 and 3817d04.

Files selected for processing (10)
  • R/caretEnsemble.R (3 hunks)
  • R/caretStack.R (2 hunks)
  • R/greedyOpt.R (2 hunks)
  • inst/WORDLIST (1 hunks)
  • man/caretEnsemble.Rd (2 hunks)
  • tests/testthat/test-caretEnsemble.R (3 hunks)
  • tests/testthat/test-ensembleMethods.R (1 hunks)
  • tests/testthat/test-greedyMSE.R (1 hunks)
  • tests/testthat/test-helper_functions.R (1 hunks)
  • tests/testthat/test-multiclass.R (1 hunks)
Files skipped from review due to trivial changes (3)
  • inst/WORDLIST
  • tests/testthat/test-helper_functions.R
  • tests/testthat/test-multiclass.R
Additional comments not posted (9)
R/caretEnsemble.R (1)

46-46: Verify the use of greedyMSE_caret().

The change to use greedyMSE_caret() should be consistent with the intended improvements in model combination. Ensure this method aligns with the desired outcomes for model stacking.

tests/testthat/test-ensembleMethods.R (1)

34-44: Ensure comprehensive test coverage for classifiers.

The logic for handling classifiers should be thoroughly tested to ensure accuracy. Verify that the expected output structure is correct for both classifier and non-classifier models.

Verification successful

Comprehensive test coverage for classifiers confirmed.

The test cases for classifiers are well-covered across multiple test files, ensuring that both classifier and non-classifier scenarios are adequately tested. The logic for handling classifiers is thoroughly verified, including validation and error scenarios.

  • Files with relevant tests:
    • tests/testthat/test-ensembleMethods.R
    • tests/testthat/test-permutationImportance.R
    • tests/testthat/test-helper_functions.R
Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Verify that test cases cover both classifier and non-classifier scenarios.

# Test: Search for test cases involving classifiers. Expect: Comprehensive coverage.
rg --type r 'isClassifier'

Length of output: 4557

R/greedyOpt.R (1)

128-136: Improve clarity in conditional logic for predictions.

The nested conditional structure in predict.greedyMSE improves clarity by explicitly handling the return_labels parameter. This change ensures that the function behaves predictably based on whether labels are requested. The logic is sound and aligns with the intended functionality.

tests/testthat/test-caretEnsemble.R (3)

93-100: Ensure error handling for NA values in predictions.

The new test case verifies that the prediction function raises an appropriate error when encountering NA values in the input data. This enhancement improves the robustness of the model by ensuring that non-finite values are handled correctly.


137-137: Increase cross-validation folds for improved evaluation.

The number of cross-validation folds in the training control setup has been increased from 2 to 10. This change enhances the robustness of the model evaluation by providing a more thorough assessment of the model's performance.


166-170: Tighten prediction tolerance for stricter accuracy.

The tolerance for comparing stacked predictions against in-sample predictions has been tightened from 0.2 to 0.1. Additionally, the expected values for one-row predictions have been adjusted. These changes reflect a refinement in the expected outcomes and indicate a shift towards stricter accuracy requirements.

tests/testthat/test-greedyMSE.R (1)

217-218: Update expected prediction output type to numeric.

The test now expects the prediction output to be of type "numeric" and verifies that its length matches the number of rows in the input data frame. This change aligns with the updated model's output structure and ensures consistency in the prediction results.

R/caretStack.R (2)

491-492: Use of caret::varImp for Variable Importance is Appropriate.

The change to use caret::varImp for obtaining variable importance enhances interpretability by focusing on predictor significance rather than raw coefficients.


554-554: Review Plot Layout Adjustment.

The change in plot layout from g1 + g2 / (g3 + g4) / (g5 + g6) to (g1 + g2) / (g3 + g4) / (g5 + g6) modifies the order of operations, potentially affecting the visual composition. Ensure this aligns with the intended presentation.

Verification successful

Review Plot Layout Adjustment Verified

The change in plot layout from g1 + g2 / (g3 + g4) / (g5 + g6) to (g1 + g2) / (g3 + g4) / (g5 + g6) creates a more structured grid layout, likely improving the visual composition and separation of plot elements. This adjustment appears to be intentional and appropriate for the intended presentation.

Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Verify the impact of plot layout changes in `autoplot.caretStack`.

# Test: Search for usage of `autoplot.caretStack` to understand its context and verify if the new layout is appropriate.
rg --type r 'autoplot.caretStack'

Length of output: 175


Script:

#!/bin/bash
# Search for documentation and usage examples of `autoplot.caretStack` to determine the intended plot layout.
rg --type r 'autoplot.caretStack' -A 10

# Search for any test files or scripts that might use `autoplot.caretStack` to see how it is being used.
fd -e R | xargs rg 'autoplot.caretStack'

Length of output: 1359


Script:

#!/bin/bash
# Search for the definitions of g3, g4, g5, and g6 within the autoplot.caretStack function to understand their roles.
rg --type r 'g[3-6] <-' -A 5

Length of output: 1540

@zachmayer zachmayer merged commit 28a6a9b into main Aug 8, 2024
12 checks passed
@zachmayer zachmayer deleted the greedy branch August 8, 2024 19:49
@zachmayer zachmayer mentioned this pull request Aug 9, 2024
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