mlr3pipelines 0.3.1-9000 Unreleased

mlr3pipelines 0.3.1 2020-11-16

  • 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 2020-09-13

  • 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 now reset to NULL if 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 2020-08-18

  • 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 2020-04-06

  • 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 2019-12-10

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

mlr3pipelines 0.1.1 2019-10-29

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

mlr3pipelines 0.1.0 2019-10-06

  • Initial upload to CRAN.