Reduced Modeling for Tabular Data with Blockwise Missingness
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Documentation for package ‘blockwise’ version 0.1.2
Help Pages
| adult | UCI Adult income classification dataset |
| bike | Capital Bikeshare hourly demand data |
| brm | Fit a Blockwise Reduced Modeling (BRM) ensemble |
| choose_num_blocks | Estimate the number of blocks via the elbow heuristic |
| house | King County, WA house sales |
| learner | Learner specification for BRM |
| learner_gbm | Learner specification for BRM |
| learner_glm_binomial | Learner specification for BRM |
| learner_lm | Learner specification for BRM |
| learner_ranger | Learner specification for BRM |
| learner_rpart | Learner specification for BRM |
| predict.brm | Predict from a fitted BRM ensemble |
| simulate_blockwise_missing | Simulate a blockwise missing pattern on otherwise complete data |