mlr3extralearners - Extra Learners For mlr3

Extra learners for use in mlr3.

Last updated 15 days ago

9.33 score 90 stars 470 scripts

mlr3torch - Deep Learning with 'mlr3'

Deep Learning library that extends the mlr3 framework by building upon the 'torch' package. It allows to conveniently build, train, and evaluate deep learning models without having to worry about low level details. Custom architectures can be created using the graph language defined in 'mlr3pipelines'.

Last updated 1 months ago

data-sciencedeep-learningmachine-learningmlr3torch

7.04 score 40 stars 48 scripts 644 downloads

mlr3oml - Connector Between 'mlr3' and 'OpenML'

Provides an interface to 'OpenML.org' to list and download machine learning data, tasks and experiments. The 'OpenML' objects can be automatically converted to 'mlr3' objects. For a more sophisticated interface with more upload options, see the 'OpenML' package.

Last updated 6 months ago

datadata-sciencedatasetsmachine-learningmlr3openml

5.44 score 6 stars 91 scripts 800 downloads

mlr3benchmark - Analysis and Visualisation of Benchmark Experiments

Implements methods for post-hoc analysis and visualisation of benchmark experiments, for 'mlr3' and beyond.

Last updated 1 years ago

analysisbenchmark-analysisbenchmark-experimentsbenchmarkingmlr3

5.12 score 12 stars 44 scripts 347 downloads

mlr3fda - Extending 'mlr3' to Functional Data Analysis

Extends the 'mlr3' ecosystem to functional analysis by adding support for irregular and regular functional data as defined in the 'tf' package. The package provides 'PipeOps' for preprocessing functional columns and for extracting scalar features, thereby allowing standard machine learning algorithms to be applied afterwards. Available operations include simple functional features such as the mean or maximum, smoothing, interpolation, flattening, and functional 'PCA'.

Last updated 4 months ago

data-analysisdata-analysis-in-rdata-sciencefunctional-datamachine-learningmlr3

5.06 score 4 stars 5 scripts 293 downloads