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objectives.md
@@ -3,8 +3,10 @@ TODO list:
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- write narrative everywhere
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- write exercise instructions + code + placeholder + solution marker
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+- maybe try to swap RandomForestRegressor by XGBoost
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- finish uncertainty section quantile regression as classification
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- extract plotting functions in a helper module
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+- enable subsampling on the features and targets or maybe on the `prediction_time` node.
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## h=1 model design and evaluation
@@ -74,7 +76,7 @@ TODO list:
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- Using sample weights to deal with contiguous data quality problems.
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-## Exercises
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+## Exercises ideas
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- Exercise: pipeline with missing value support: SimpleImputer with
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indicator, Spline, Nystroem, RidgeCV or TableVectorizer
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