add-or-replace-column(s) replaced by add-column(s) (add-or-replace-column(s) is marked as deprecated) (#16)mark-as-group wasn't visible in API (#18)map-columns didn't propagate new-type for grouped case (#20)let-dataset - to simulate tibble from Rrows and columns new result: :as-double-arrays - convert rows to 2d double arraytablecloth.pipeline for pipeline operationsconcat-copying exposed.split function for splitting into train-test pairs with :kfold, :bootstrap, :loo and holdout strategies + stratified versionsreplace-missing with new strategy :midpointt.m.d update
t.m.d update
t.m.d update
write-nippy! and read-nippy are deprecated, replaced by write! and datasettech.ml.dataset version 5.0-alpha*
map-columns accepts optional target datatypeds/column->dataset functionality introduced in separate-column:text among others)write-csv! replaced by write! (write-csv! is marked as deprecated)info field :size is replaced by :n-elemsseparate-column 3-arity version accepts separator instead target-columns nowtech.ml.dataset version 4.04
tech.ml.dataset version 4.03
parallel? option set to true). These are: aggregate, unique-by, order-by, join-columns, separate-columns, ungroupaggregation uses now in-place ungrouping which is much fastertech.ml.dataset version 3.06
fill-range-replace to inject data to make continuous seqence in columnwrite-nippy! and read-nippytech.ml.dataset version 2.13
replace-missing new strategies: :mid and :lerp, working also for dates.replace-missing has different conctract and default strategy :mid. value argument is the last argument now.replace-missing :up and :down strategies, when value is nil fills border missing values with nearest value.tech.ml.dataset version 2.06
asof-join addedreshape testspivot->wider accepts :drop-missing? option (default: true)pivot->wider drops missing rows by defaultpivto->wider order of concatenated column names is reversed (first: colnames, last: value), was opposite.pivot->longer :splitter accepts string used for splitting column nameCan you improve this documentation? These fine people already did:
GenerateMe, apanj00, ashimapanjwani & genmeblogEdit on GitHub
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