numnorm()
Here are how to use numnorm() functions.
A.numnorm()
Description:
Normalize a sequence type numeric variable during modeling.
Sytnax:
|
A.numnorm() |
During modeling, normalize numeric variable A and return a binary sequence containing the normalization result and normalization process records Rec. |
|
A.numnorm@r(Rec) |
During scoring, normalize numeric variable A according to normalization process records Rec. |
Note:
The external library function (See External Library Guide) normalizes a sequence type numeric variable during modeling.
Parameter:
|
A |
A sequence, which is a numeric variable. |
|
Rec |
A sequence of normalization process records. |
Option:
|
@c |
Modify the original data to the normalization result after execution. |
Return value:
Sequence
Example:
|
|
A |
|
|
1 |
[1,2,3,4,5,6,7,8,9,10] |
|
|
2 |
=A1.numnorm() |
A2(1) Normalization result; A2(2) Normalization process records Rec. |
|
3 |
=A1.numnorm@rc(A2(2)) |
Normalize A1’s sequence according to A2’s normalization process records Rec. |
P.numnorm()
Description:
The external library function (See External Library Guide) normalizes a table sequence/record sequence numeric variable during modeling.
Sytnax:
|
P.numnorm(cn) |
During modeling, normalize numeric variable cn and return a binary sequence containing the normalization result and normalization process records Rec. |
|
P.numnorm@r(cn, Rec) |
During scoring, normalize numeric variable cn according to normalization process records Rec. |
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 normalization process records. |
Option:
|
@c |
Modify the original data to the normalization result after execution. |
Return value:
Sequence
Example:
|
|
A |
|
|
1 |
=T("D://house_prices_train.csv") |
Import modeling data. |
|
2 |
=T("D://house_prices_test.csv") |
Import scoring data. |
|
3 |
=A1.numnorm("LotArea") |
Normalize variable “LotArea”: A3(1) Normalization result; A3(2) Normalization process records Rec. |
|
4 |
=A2.numnorm@r("LotArea",A3(2)) |
Normalize variable “LotArea” on scoring data in the same rule according to A3’s normalization process records Rec. |
