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### Summary
- What does this package do? (explain in 50 words or less):
Store dataframes as plain text files along with metadata to ensure that attributes like factor levels are maintained. The …
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- [x] is there anything obvious missing
- [x] are there any sub terms missing (e.g. plural versions, with a space and without a space, ...)
- [x] is the use of umbrella/sub terms consistent across t…
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Hi Team!
I am just starting with SHAP package and have read both papers (for tree and general framework).
What I am interested in is predicting own impact on y with influence on one of the varib…
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**Describe the bug**
The 'CO2' (Carbon Dioxide) variable in Yellowbrick's version of the [Occupancy](https://github.com/DistrictDataLabs/yellowbrick/blob/47826d93ca4b912e9ef590c82d2a86e535d6a129/yell…
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How do we interpret the baseline in variable importance? Noticed that when the variable importances for different models are plotted simultaneously that the baseline numbers don't agree, even with `ty…
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@mcgregorian1 , sapwood depth is a potentially interesting predictor. We have tree-level data on all cored trees [here](https://datadryad.org//resource/doi:10.5061/dryad.6nc8c?show=full) (sapwood file…
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I think this package is really interesting. It would be nice if there was a function to do a varImpPlot, similar to what is available in the randomForest package. Right now there is nothing I am aware…
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Right now, when exporting some simulation data to CSV, we can decide whether we want to export the data for the variable of integration. In the case of the BioSignalML data store, the variable of inte…
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Hi. I am using vip to measure variable importance scores from my super learner model.
And I get the following error message:
>install.packages("vip")
>library(vip)
>set.seed(150) # for reproduc…
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Hi,
I'm wondering whether there is a fast way to study the partial dependency between features and the dependent variable. This has been implemented in Scikit learn gradient boosting model and R gbm.…