💪 🤔 Modern Super Learning with Machine Learning Pipelines
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Updated
Apr 30, 2024 - R
💪 🤔 Modern Super Learning with Machine Learning Pipelines
Dataflow Programming for Machine Learning in R
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Algorithmic framework for measuring feature importance, outlier detection, model applicability evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.
Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
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Incremental median-based ensemble learning method for seasonal time series
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🌳 Stacked Gradient Boosting Machines
Machine learning-based summaries of association with multivariate outcomes
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Super learner fitting and prediction using mlr3
A new multi-class ensemble classification algorithm based on Kalman filters
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