rankeval

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feature_importance error

5

I'm running into an error and summarized it in this toy example: ``` X = pd.DataFrame([[1,2,3],[4,5,6],[7,8,9]]) y = pd.DataFrame([0,0,1]) g = pd.Series([1,1,2]) dataset = Dataset(X, y, g, name='dataset') mse =...

paulperry

support for categorical features and missing values in LGBM

4

In loading a model I get: ``` rankeval_lgb_model = RTEnsemble('lgb.model', name="LightGBM model", format="LightGBM") [...] AssertionError: Decision Tree not supported. RankEval does not support categorical features and missing values. ``` Is...

paulperry

wishlist: TF-Ranking support

5

It would be great to have support for the (fairly new) TF-Ranking library by Google: https://github.com/tensorflow/ranking

zenogantner

format() is a built-in Python function. Rename parameter to avoid local overwrite. This will also avoid complaints from pylint when run on this file, or on code that derives from...

zenogantner