mlr30.21.0 package

Convert to BenchmarkResult

Create a Data Backend

Convert to a Learner

Convert to a Measure

Convert to a Classification Prediction

PredictionData

Convert to a Regression Prediction

Convert to a Prediction

Convert to ResampleResult

Convert to a Resampling

Convert to ResultData

Convert to a Classification Task

Convert to a Regression Task

Convert to an Unsupervised Task

Convert to a Task

Column Auto-Converter

Generate a Benchmark Grid Design

Benchmark Multiple Learners on Multiple Tasks

Container for Benchmarking Results

Column Information for Backend

Convert a Task from One Type to Another

DataBackend

DataBackend for data.table

DataBackend for Matrix

Create a Fallback Learner

Get the Default Measure

Create an Active Binding that Generates a Deprecation Warning

Stack for Hot Start Learners

Install (Missing) Packages

Learner Class

Classification Learner

Regression Learner

(Un)marshal a Learner

Measure Class

Classification Measure

Regression Measure

Similarity Measure

Assertion for mlr3 Objects

Classification Learner for Debugging

Featureless Classification Learner

Classification Tree Learner

Regression Learner for Debugging

Featureless Regression Learner

Regression Tree Learner

Dictionary of Learners

Akaike Information Criterion Measure

Bayesian Information Criterion Measure

Classification Accuracy

Area Under the ROC Curve

Balanced Accuracy

Binary Brier Score

Classification Error

Cost-sensitive Classification Measure

Diagnostic Odds Ratio

F-beta Score

False Discovery Rate

False Negatives

False Negative Rate

False Omission Rate

False Positives

False Positive Rate

Log Loss

Multiclass AUC Scores

Multiclass AUC Scores

Multiclass AUC Scores

Multiclass AUC Scores

Multiclass AUC Scores

Multiclass Brier Score

Matthews Correlation Coefficient

Negative Predictive Value

Positive Predictive Value

Area Under the Precision-Recall Curve

Positive Predictive Value

True Positive Rate

True Positive Rate

True Negative Rate

True Negatives

True Negative Rate

True Positives

True Positive Rate

Debug Measure for Classification

Elapsed Time Measure

Measure Internal Validation Score

Out-of-bag Error Measure

Bias

Kendall's tau

Mean Absolute Error

Mean Absolute Percent Error

Max Absolute Error

Median Absolute Error

Median Squared Error

Mean Squared Error

Mean Squared Log Error

Percent Bias

Average Pinball Loss

Relative Absolute Error

Root Mean Squared Error

Root Mean Squared Log Error

Root Relative Squared Error

Relative Squared Error

R-Squared

Sum of Absolute Errors

Symmetric Mean Absolute Percent Error

Spearman's rho

Sum of Squared Errors

Selected Features Measure

Jaccard Similarity Index

Phi Coefficient Similarity

Dictionary of Performance Measures

Reflections for mlr3

Bootstrap Resampling

Custom Cross-Validation

Custom Resampling

Cross-Validation Resampling

Holdout Resampling

Insample Resampling

Leave-One-Out Cross-Validation

Repeated Cross-Validation Resampling

Subsampling Resampling

Dictionary of Resampling Strategies

Syntactic Sugar for Object Construction

2D Normals Classification Task Generator

Cassini Classification Task Generator

Circle Classification Task Generator

Friedman1 Regression Task Generator

Moons Classification Task Generator

Simplex Classification Task Generator

Smiley Classification Task Generator

Spiral Classification Task Generator

XOR Classification Task Generator

Dictionary of Task Generators

Boston Housing Regression Task

Wisconsin Breast Cancer Classification Task

German Credit Classification Task

Iris Classification Task

Motor Trend Regression Task

Palmer Penguins Data Set

Pima Indian Diabetes Classification Task

Sonar Classification Task

Spam Classification Task

Wine Classification Task

Zoo Classification Task

Dictionary of Tasks

Documentation of mlr3 test helpers

mlr3: Machine Learning in R - Next Generation

Manually Partition into Training, Test and Validation Set

Predict Method for Learners

Abstract Prediction Object

Prediction Object for Classification

Convert to PredictionData

Prediction Object for Regression

Objects exported from other packages

Resample a Learner on a Task

Container for Results of resample()

Resampling Class

ResultData

Set the Number of Threads

Check Column Roles

Task Class

Classification Task

TaskGenerator Class

Regression Task

Supervised Task

Unsupervised Task

Give a Warning about a Deprecated Function, Argument, or Active Bindin...