split->seq
to return train/test splits as a sequence or datasets or as map of sequences for grouped datasetstablecloth.pipeline
returns a map with dataset under :metamorph/data
key (see metamorph)split
returns now a dataset or grouped dataset with two new columns indicating train/test and split id. See split->seq
for previous behaviour.without-grouping->
threading macro which allows operations on grouping dataset treated as a regular one.group-by
accepts any java.util.Map for a collection of indexes (use LinkedHashMap to persist an order)tablecloth.api.group-by
functions moved to tablecloth.api.utils
, no changes to APIadd-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 :midpoint
t.m.d update
t.m.d update
t.m.d update
write-nippy!
and read-nippy
are deprecated, replaced by write!
and dataset
tech.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-elems
separate-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
, ungroup
aggregation
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-nippy
tech.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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