mlr3pipelines 0.4.1

• $help() function for all PipeOps as well as Graph, GraphLearner and all Learners.
• GraphLearner can be created without cloning Graph (for internal use).
• predict.Graph throws helpful error when it cannot create a fitting Task.
• PipeOpLearner packages slot is set to the Learner’s packages.
• Bugfix: PipeOp train() and predict() report correct channel name when output has wrong type.
• Bugfix: More accurate type inference when constructing Graphs.
• Stability fix for interaction with packages such as mlr3spatiotempcv that extend existing Task types.

mlr3pipelines 0.4.0

• New operator %>>!% that modifies Graphs in-place.
• New methods chain_graphs(), concat_graphs(), Graph$chain() as alternatives for %>>% and %>>!%.
• New methods pos() and ppls() which create lists of PipeOps/Graphs and can be seen as “plural” forms of po() and ppl().
• po() S3-method for PipeOp class that clones a PipeOp object and optionally modifies its attributes.
• Graph$add_pipeop() now clones the PipeOp being added.
• Documentation: Clarified documentation about cloning of input arguments in several places.
• Performance enhancements for Graph concatenation.
• More informative error outputs.
• New attribute graph_model in GraphLearner class, which gets the trained Graph.
• as_learner() S3-method for PipeOp class that wraps a PipeOp in a Graph and turns that into a Learner.
• Changed PipeOps:
  • PipeOpHistBin: renamed bins Param to breaks
  • PipeOpImputeHist: fix handling of integer features spanning the entire represented integer range
  • PipeOpImputeOOR: fix handling of integer features spanning the entire represented integer range
  • PipeOpProxy: Avoid unnecessary clone
  • PipeOpScale: Performance improvement

mlr3pipelines 0.3.6-1

• Fix numerics problem in tests

mlr3pipelines 0.3.6

• Bugfix: Make empty Multiplicities work (unless they are nested)
• Fixed: Compatibility with upcoming bbotk version.
• New mlr_graphs: pipeline_stacking
• Added JMLR-Citation

mlr3pipelines 0.3.5-1

• Fixed: Compatibility with upcoming mlr3 version.

mlr3pipelines 0.3.5

• Changed PipeOp: PipeOpFilter gets additional filter.permuted hyperparameter.
• Bugfix: Make add_edge of Graphs work with Multiplicities.
• Bugfix: Make GraphLearner hash depend on id.
• Documentation: Clarify documentation of LearnerAvg.
• Internals: Using more idiomatic internal helper functions.
• Compatibility with upcoming mlr3 version.

mlr3pipelines 0.3.4

• Stability: PipeOps don’t crash when they have python/reticulate hyperparameter values.
• Documentation: Titles of PipeOp documentation articles reworked.

mlr3pipelines 0.3.3

• Bugfix: fix rare issue in randomized test
• Compatibility with bbotk 0.3.0

mlr3pipelines 0.3.2

• Bugfix: Make as.data.table(mlr_pipeops) work with paradox 0.6
• Changed PipeOps:
  • PipeOpColApply: now allows for an applicator function with multiple columns as a return value; also inherits from PipeOpTaskPreprocSimple now

mlr3pipelines 0.3.1

• Changed PipeOps:
  • PipeOpMissInd now also allows for setting type = integer
  • PipeOpNMF: now exposes all parameters previously in .options
• Changed mlr_graphs:
  • pipeline_bagging now uses multiplicities internally
  • fix how pipeline_robustify determines the type of newly created columns when using PipeOpMissInd
  • PipeOpFeatureUnion: Fixed a minor bug when checking for duplicates
• added an autotest for ParamSets of PipeOps: expect_valid_pipeop_param_set
• More informative error message when PipeOp input value has wrong type
• Fix automatic detection of R6 type hierarchy
• Performance improvements for GraphLearner
• GraphLearner allows custom id
• Use parallel tests
• Removed bibtex dependency

mlr3pipelines 0.3.0

• compatibility with mlr3 0.6
• NULL input channels accept any kind of input
• print() method of Graphs now also allows for printing a DOT representation on the console
• state of PipeOps is now reset to NULL when training fails
• implemented as_learner.PipeOp
• LearnerClassifAvg, LearnerRegrAvg use bbotk now
• Changed PPLs:
  • fix how ppl_robustify detects whether a learner can handle factors
• Changed PipeOps:
  • PipeOpTextVectorizer can now return an “integer sequence representation”.
• New PipeOps:
  • PipeOpNMF
  • PipeOpColRoles
  • PipeOpVtreat
• various bugfixes

mlr3pipelines 0.2.1

• New feature: Multiplicities: implicit repetition of operations
• new mlr_graphs:
  • pipeline_bagging
  • pipeline_branch
  • pipeline_greplicate
  • pipeline_robustify
  • pipeline_targettrafo
  • pipeline_ovr
• New PipeOps:
  • PipeOpOVRSplit, PipeOpOVRUnite
  • PipeOpReplicate
  • PipeOpMultiplicityExply, PipeOpMultiplicityImply
  • PipeOpTargetTrafo, PipeOpTargetInvert
  • PipeOpTargetMutate
  • PipeOpTargetTrafoScaleRange
  • PipeOpProxy
  • PipeOpDateFeatures
  • PipeOpImputeConstant
  • PipeOpImputeLearner
  • PipeOpMode
  • PipeOpRandomResponse
  • PipeOpRenameColumns
  • PipeOpTextVectorizer
  • PipeOpThreshold
• Renamed PipeOps:
  • PipeOpImputeNewlvl –> PipeOpImputeOOR (with additional functionality for continuous values)
• Changed PipeOps:
  • PipeOpFeatureUnion: Bugfix: avoid silently overwriting features when names clash
  • PipeOpHistBin: Bugfix: handle test set data out of training set range
  • PipeOpLearnerCV: Allow returning trainingset prediction during train()
  • PipeOpMutate: Allow referencing newly created columns
  • PipeOpScale: Allow robust scaling
  • PipeOpLearner, PipeOpLearnerCV: learner_models for access to learner with model slot
• New Selectors:
  • selector_missing
  • selector_cardinality_greater_than
• NULL is neutral element of %>>%
• PipeOpTaskPreproc now has feature_types slot
• PipeOpTaskPreproc(Simple) internal API changed: use .train_task(), .predict_task(), .train_dt(), .predict_dt(), .select_cols(), .get_state(), .transform(), .get_state_dt(), .transform_dt() instead of the old methods without dot prefix
• PipeOp now has tags slot
• PipeOp internal API changed: use .train(), .predict() instead of train_internal(), predict_internal()
• Graph new method update_ids()
• Graph methods train(single_input = FALSE) and predict(single_input = FALSE) now handle vararg channels correctly.
• Obsoleted greplicate(); use pipeline_greplicate / ppl("greplicate") instead.
• po() now automatically converts Selector to PipeOpSelect
• po() prints available mlr_pipeops dictionary content
• mlr_graphs dictionary of useful Graphs, with short form accessor ppl()
• Work with new mlr3 version 0.4.0

mlr3pipelines 0.1.3

• small test fix for R 4.0 (necessary for stringsAsFactors option default change in 3.6 -> 4.0)
• predict() generic for Graph
• Migrated last vignette to “mlr3 Book”
• Compact in-memory representation of R6 objects to save space when saving objects via saveRDS(), serialize() etc.

mlr3pipelines 0.1.2

• Work with new mlr3 version 0.1.5 (handling of character columns changed)

mlr3pipelines 0.1.1

• Better html graphics for linear Graphs
• New PipeOps:
  • PipeOpEncodeImpact
• Changed PipeOp Behaviour:
  • PipeOpEncode: handle NAs

mlr3pipelines 0.1.0

• Initial upload to CRAN.