Extending 'mlr3' to Functional Data Analysis
Cross-Correlation of Functional Data
Extracts Simple Features from Functional Columns
Flattens Functional Columns
Functional Principal Component Analysis
Interpolate Functional Columns
Linearly Transform the Domain of Functional Data.
Smoothing Functional Columns
Diffusion Tensor Imaging (DTI) Regression Task
Fuel Regression Task
Phoneme Classification Task
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'.
Useful links