P.dateinterval()

P.dateinterval(cns, T)

During modeling, generate multiple date difference variables for sequence cns of datetime variables and return a binary sequence where the first bit is a table sequence made up of all the derivative variables and the second bit is generation process records Rec; the derivative variables automatically perform subsequent pre-processing

P.dateinterval@r(cns, Rec)

During scoring, generate a table sequence consisting of multiple date difference variables according to sequence cns of datetime variables and generation process records Rec

P

A table sequence/record sequence

cns

A sequence of names of columns (or column numbers starting from 1) of a record sequence

T

A sequence of target variable values used to perform potential data smoothing

Rec

A sequence of generation process records

@bnie

Each option specifies a target type, and options are mutual-exclusive; automatically judge the type when no option is used; the order of priorities of the options is binary, numeric, integer and enumerated

A

1

=T("catering_sale.csv").run(date1=date(date1,"yyyy/MM/dd"),date2=date(date2,"yyyy/MM/dd"))

2

=A1.(sales)

3

=A1.dateinterval@n(["date1","date2"],A2)

Generate difference between “date1” and “date2”, and perform smoothing according to target variable A2.

A3(1) A table sequence of derivative variables;

A3(2) Generation process records Rec.

4

=A1.dateinterval@r(["date1","date2"],A3(2))

Generate multiple difference variables between “date1” and “date2” according to A3’s generation process records Rec.