mlr3fda 0.7.1

• Compatibility with new tf version 0.5.0.

mlr3fda 0.7.0

• fix: PipeOpFDAWavelets no longer errors when filter is a wt.filter object or a numeric vector. Generated columns are now named <column>_wav_<i> regardless of the filter.
• fix: PipeOpFDAZoom now accepts a one-sided begin or end instead of requiring both.
• fix: as.data.table(mlr_pipeops) no longer errors with object 'value' not found when mlr3fda is loaded.
• feat: New PipeOpFDACatch22 for extracting the catch22 time series features from functional columns via Rcatch22::catch22_all().
• feat: New PipeOpFDAIntegrate for extracting the definite integral of functional columns via tf::tf_integrate().

mlr3fda 0.6.0

• fix: Add mlr3fda to mlr_reflections$loaded_packages to fix errors when using mlr3fda in parallel.
• feat: New PipeOpFDADepth for computing the data depth of functional columns via tf::tf_depth().
• feat: New PipeOpFDADerive for computing derivatives of functional columns via tf::tf_derive().
• feat: PipeOpFDAExtract gained the "sd" feature for extracting the standard deviation.
• perf: PipeOpFDAFourier is now several times faster.

mlr3fda 0.5.0

• feat: New PipeOpFDARegister for aligning functional columns to a learned template via tf::tf_register().

mlr3fda 0.4.0

• fix: The fuel task now correctly names the scalar column h2o instead of h20.
• feat: Mlr3Error and Mlr3Warning classes for errors and warnings.
• feat: New PipeOpFDAFourier for extracting fast Fourier transform features from functional columns.

0.3.0

• mlr3fda now depends on R 4.1.0 instead of R 3.1.0 to reflect tf requiring 4.1.0
• New PipeOps:
  • PipeOpFDABsignal
  • PipeOpFDARandomEffect
  • PipeOpFDATsfeatures
  • PipeOpFDAWavelets
  • PipeOpFDAZoom

0.2.0

v0.2.0

release 0.2.0

0.1.1

Fixing a test for CRAN

0.1.0

Initial CRAN release