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mlr
v2.19.0
Basics
Task
Learner
Train
Predict
Preprocessing
Tuning
Resampling
Benchmarking
Parallelization
Performance
Visualization
Use case - Regression
Advanced
mlr Configuration
Wrapped Learners
Imputation
Generic Bagging
Advanced Tuning
Feature Selection/Filtering
Nested Resampling
Imbalanced Classification Problems
ROC Analysis and Performance Curves
Learning Curve Analysis
Partial Dependence Plots
Classifier Calibration
Hyperparameter Tuning Effects
Out-of-Bag Predictions
Multilabel Classification
Cost-Sensitive Classification
Spatial Data
Functional Data
Extending
Create Custom Learners
Create Custom Measures
Create Custom Imputation Methods
Create Custom Filters
Appendix
Integrated Tasks
Integrated Learners
Integrated Measures
Integrated Filter Methods
mlr Publications
Talks, Videos and Workshops
mlrMBO
mlrCPO
mlrHyperopt
OpenML
Changelog
Reference
Changelog
2.13
mlr 2.13:
2018-08-28
general
Disabled unit tests for CRAN, we test on travis only now
Suppress messages with show.learner.output = FALSE
functions - general
plotHyperParsEffect: add colors
functions - new
getResamplingIndices
createSpatialResamplingPlots
learners - general
regr.nnet: Removed unneeded params linout, entropy, softmax and censored
regr.ranger: Add weight handling
learners - removed
{classif,regr}.blackboost: broke API with new release
regr.elmNN : package was removed from CRAN
classif.lqa : package was removed from CRAN
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