## Hot questions for Mlr

Categories | Question List |
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Using Mlr in auc | how to use multiclass.au1p measure in mlr Calculating AUC Leave-One-Out cross validation in mlR? |

Using Mlr in benchmarking | R - mlr - What is the difference between Benchmark and Resample when searching for hyperparameters |

Using Mlr in classification | MLR, example dependent cost of misclassification, makeCostSensWeightedPairsWrapper MLR resampling creates oneclass problems for multilabel classification Is it possible to subset a classification task in mlr keeping the positive/negative class ratio unchanged? How to use mlr to customize classification model Tuning the classification threshold in mlr |

Using Mlr in feature selection | Using bit.names and bits.to.features arguments to makeFeatSelWrapper (mlr) to perform wrapper selection over groups of features R mlr - Wrapper feature selection + hyperparameter tuning without nested-nested cross validation? MLR: How can I wrap the selection of specified features around the learner? Feature importance of learner used in benchmark experiment - mlr How to jointly use makeFeatSelWrapper and resample function in mlr mlr package r: feature selection sequential forward search error: Must have at least 1 cols Meaning of alpha and beta parameters in function makeFeatSelControlSequential (MLR library in R) |

Using Mlr in h2o | How to save an h2o model using mlr in R? Set seed for h2o via mlr in R Error: could not find function "makeLearner" using h2o package specify `makeNumericVectorParam` for `hidden_dropout_ratios` hyper parameter which would depend on the number of hidden layers |

Using Mlr in hyperparameters | R-MLR : tuning hyper parameters using ' makeTuneControlRandom ' for a wrapped learner mlr: Tune model parameters with validation set Partial dependence must be requested with partial.dep when tuning more than 2 hyperparameters? R-MLR : get tuned hyperparameters for a wrapped learner Set hyperparameters to a learner in mlr after parameter tuning |

Using Mlr in parallel processing | mlr: why does reproducibility of hyperparameter tuning fail using parallelization? R package mlr exhausts memory with multicore How to see intermediate results from tuning in mlr in parallel? Error in custom measure parsing external function while using parallelization mlr / parallelMap: How to pass libPaths to workers when working with checkpoint? |

Using Mlr in predict | Convert predicted probabilities after downsampling to actual probabilities in classification (using mlr) Error predict with mlr: Error while running the predict() function in mlr package How to preprocess newdata for prediction using the mlr package MLR: Function "predict.WrappedModel" not found R: Predicting with new factor levels in mlr with regr.svm task how to resample and compare the resutls when I just want to predict the last row of the data using surv. functions in mlr package, R? Extracting predictions from batchmark in r (mlr) Averaging model prediction in R using mlr package Predict function in R's MLR yielding results inconsistent with predict How to predict the brier score for a cox regression? auc in mlr benchmark experiment for classification problem gives error (requires predict type to be: 'prob') Why does the prediction measures like accuracy and F1 does not improve when applied with selected Features? |

Using Mlr in r caret | R package mlr: option for custom kernels in classif.ksvm mlr equivalent of carets model selectionFunction in R Performing multiclass PLS-DA with mlr package in R Recursive feature elimination with mlr |

Using Mlr in random forest | MLR and randomForestSRC: Incoherence between computers Hyperparameter tuning using MLR package Random forest cutoff and accuracy metrics for binary classification in R |

Using Mlr in regression | Get access to regression train model Nested resampling + LASSO (regr.cvglment) using mlr Cox model concordance value is different from c-index caculated by mlr Ordinal Logistic Regression with mlr? MLR - Resampling of cox model mlr: Extract penalized logistic regression coefficients Create mlp custom learner in MLR Multiple Output Regression with MLR (and NN)? |

Using Mlr in resampling | Tuning without resampling in mlr package (clustering) MLR - Benchmark Experiment using nested resampling. How to access the inner resampling tuning results? mlr: nested resampling for feature selection Can we use a pre-defined column for CV (resampling) in mlr? getResamplingIndices from resampling used in benchmark experiment - mlr MLR: How exactly is the process when using sequential optimization in nested resampling? |

Using Mlr in rpart | Tuning parms in rpart with MLR package? How to visualize and print rules of the classif.rpart model from mlr package, like in rpart.plot and rpart.rules? How to plot a decision tree horizontally in R Markdown? how to interplate the different result when using mlr and using other packages like rpart and mboost in R |

Using Mlr in survival | Xgboost for survival using mlr in R Feature selection in mlr using univariate.model.score filter on censored data |

Using Mlr in xgboost | What does the warning "NA used as a default value for learner parameter missing" mean in mlr? R: How to use parallelMap (with mlr, xgboost) on linux server? Unexpected performance compared to windows instantiateResampleInstance.CVDesc: too many folds for size Why do I get: The length of labels must equal the number of rows in the input data error while using mlr with xgboost offset in makeRegrTask mlr package |