bi()

Read(1562) Label: bi,

Here are how to use bi() functions.

A.bi()

Description:

Split a low-frequency categorical enumerated sequence variable that contains a number of categories not greater than 6 into multiple binary variables during modeling.

Syntax:

A.bi()

During modeling, split low-frequency categorical enumerated variable A that contains a number of categories not greater than 6 into multiple binary variables, and return a binary sequence consisting of a table sequence of splitting result and a sequence of splitting process records Rec

A.bi@r(Rec)

During scoring, split low-frequency categorical enumerated variable A that contains a number of categories not greater than 6 into multiple binary variables according to the sequence of splitting process records Rec, and return result as a table sequence

Note:

The external library function (See External Library Guide) splits a low-frequency categorical enumerated sequence variable that contains a number of categories not greater than 6 into multiple binary variables during modeling.

Parameter:

A

A sequence, which is a low-frequency categorical enumerated variable that contains a number of categories no greater than 6

Rec

A sequence of splitting process records

Return value:

Sequence/Table sequence

Example:

 

A

 

1

=T("D://house_prices_train.csv")

 

2

=A1.(MSZoning)

A variable containing a number of categories no greater than 6.

3

=A2.bi()

A3(1) A table sequence of splitting result;

A3(2) A sequence of splitting process records Rec.

4

=A2.bi@r(A3(2))

Split A2’s variable into multiple variables according to A3’s sequence of splitting process records Rec.

P.bi()

Description:

The external library function (See External Library Guide) splits a low-frequency categorical enumerated table sequence/record sequence variable that contains a number of categories not greater than 6 into multiple binary variables during modeling.

Syntax:

P.bi(cn)

During modeling, split low-frequency categorical enumerated variable cn that contains a number of categories not greater than 6 into multiple binary variables, and return a binary sequence consisting of a table sequence of splitting result and a sequence of splitting process records Rec

P.bi@r(cn, Rec)

During scoring, split low-frequency categorical enumerated variable cn that contains a number of categories not greater than 6 into multiple binary variables according to the sequence of splitting process records Rec, and return result as a table sequence

Parameter:

P

A table sequence/record sequence

cn

A string/number, which is the name of column (or the column number starting from 1) – the to-be-pre-processed variable – in a table sequence or record sequence

Rec

A sequence of splitting process records

Return value:

Sequence/Table sequence

Example:

 

A

 

1

=T("D://house_prices_train.csv")

 

2

=A1.bi("MSZoning")

Split variable “MSZoning” into multiple binary variables.

A2(1) Splitting result;

A2(2) Splitting process records Rec.

3

=A1.bi@r("MSZoning",A2(2))

Split A1’s variable according to A2’s splitting process records.