This repository was archived by the owner on Jan 19, 2025. It is now read-only.
fix(gui): resolve bug of missing parameter statistics #950
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Closes #934.
Summary of Changes
Added a addUnusedParamerts function to the constructor of the UsageCountStore, since parameters with 0 usages were missing.
Testing Instructions
Open api-editor with api and usage data for sklearn.
Open any of the following examples:
Parameters with prior missing statistics:
sklearn.ensemble.VotingRegressor.fit.sample_weight (Default Value: None)
sklearn.ensemble.StackingRegressor.fit.sample_weight (Default Value: None)
sklearn.ensemble.IsolationForest.init.warm_start (Default Value: False)
sklearn.ensemble.IsolationForest.fit.sample_weight (Default Value: None)
sklearn.ensemble.HistGradientBoostingRegressor.init.warm_start (Default Value: False)
Parameters with prior working statistics:
sklearn.ensemble.StackingRegressor.init.passthrough (Default Value: False)
sklearn.ensemble.HistGradientBoostingClassifier.init.warm_start (Default Value: False)
sklearn.ensemble.HistGradientBoostingClassifier.init.tol (Default Value: 1e-07)