Automunge

Latest version: v8.33

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3.25

- removed extraneous copy operation in automunge(.) function for improved efficiency
- new transform category bxc5 comparable to first multitier output demonstration from Automunge Explained video
- fixed postprocess processdict entries for exc3 and exc4
- fixed labelctgy processdict entries for bxc2, bxc3, bxc4

3.24

- changed default for NArowmarker parameter from True to False
- new transform category 'bnr2', comparable to 'bnry' for single column binary encoding, but default infill is least common value instead of most common value
- fixed family tree for exc2 & exc3
- new transform category 'exc4', offers pass-through force to numeric in addition to powers of ten bins, such as to support oversampling preparation of numeric sets via powers of ten bins
- found and fixed bug for trainfreqlevelizer for numerical set levelizing based on binses

3.23

- fixed printouts for infilliterate so as not to print status unless user activates infilliterate parameter
- new transform category 'shfl' to shuffle a column based on the passed randomseed, defaults to adjacent cell infill, non-numeric entries allowed

3.22

- new transform categories nmbd/101d/ordd/texd/bnrd/datd/nuld
- serving as alternate to default transformation categories nmbr/1010/ord3/text/bnry/dat6/null
- so user can assign original transforms through assigncat in cases where default trasnforms for automation were overwritten to another category
- a few small code comment cleanups

3.21

- new postmunge parameter returnedsets
- returnedsets can be passed as {True, False, 'test_ID', 'test_labels', 'test_ID_labels'}
- defaults to True for default returtned set composition
- other options only return single test set from a postmunge call
- where False is just returned as the df_test, and other options append ID, labels, or both sets onto the returned df_test
- removed extranious copy operation in postmunge for more efficient operation

3.20

- built out transformation categories for numerical set transformations
- new transformation categories addd/sbtr/mltp/divd/rais/absl
- (for addition, subtraction, multiplication, division, raise to power, absolute
- accept respective parameters add/subtract/multiply/divide/raiser/(na)

- also built out transformation categories for numerical set bins and grainings
- new transformation categories bkt1/bkt2/bkt3/bkt4
- each accept parameter of 'buckets' for list of boundaries of user defined bins
- bkt1/bkt3 have first and last bin unbounded, bkt2/bkt4 bounded
- bkt1/bkt2 create new columns with binned activations
- bkt3/bkt4 are ordinal encoded activations

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