Provide descriptives for all features, not just those in the final model
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- python
调研方向
从 Analyzer.run_training_analyses() 方法开始，检查 selected_features 如何控制特征描述统计信息和特征间相关性。定义 issue 中讨论的配置参数，然后验证用户可以在 features 文件中的所有特征和仅选定的特征之间进行选择，并且两项分析都会反映该选择。
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描述
Aoife: In a few cases features of interest didn't make it into the final NNLS model. Unfortunately that also meant that they were excluded from all analyses including feature descriptions. We were able to get feature descriptions by rerunning with Linear Regression, but would it be possible to include feature descriptives and inter-feature correlations for all features listed in the features file, not just the ones that make it into the final model?
Jeremy: We can address this in the refactored version of RSMTool.
The feature descriptives and inter-feature correlations get calculated by the run_training_analyses() method in the Analyzer class. Currently, this method subsets the data using a selected_features parameter, but we could use something like {{all_features }}instead.
I'm assuming we would want to give users the option to include all features (whether or not they drop out of the model) or selected features in the analysis, correct? If so, we'll have to add a new configuration parameter to that effect.
Aoife: Making it an option sounds reasonable to me
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EducationalTestingService/rsmtool 的其他 Issue
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难度 5/5 一周以上 新手友好度 25/100
EducationalTestingService/rsmtool#689 · 5 条评论 ·
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enhancement
难度 4/5 3-5 天 新手友好度 35/100
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Add support for sections in rsmxval可能重新可做 @damien2012eng 于 739 天前认领，目前没有进行中的 PR。 未关闭
EducationalTestingService/rsmtool#557 · 已指派 1 人 ·
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enhancement
难度 5/5 一周以上 新手友好度 35/100
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good first issue help wanted
难度 4/5 3-5 天 新手友好度 30/100
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