A.datederive()

A.datederive(T)

During modeling, generate multiple variables for datetime variable A for building models 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

A.datederive@r(Rec)

During scoring, generate a table sequence consisting of multiple derivative variables used for model building according to datetime variable A and generation process records Rec

A

A sequence of datetime variable values

T

The target variable value 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

=100.(date(2020,rand(11)+1,rand(28)+1))

Generate training data, which is a sequence of datetime variable values.

2

=100.(date(2021,rand(11)+1,rand(28)+1))

Generate scoring data, which is a sequence of date variable values.

3

=100.(rand(500))

Generate a target variable.

4

=A1.datederive@i(A3)

A4(1) A table sequence of derivative variables;

A4(2) Generation process records Rec.

@i specifies the target variable as integer.

5

=A2.datederive@r(A4(2))

Generate derivative variables on the scoring data according to A4’s generation process records Rec.