R: Make Transform from a "FeatureNormalizer" Object

transform.FeatureNormalizer {hana.ml.r}

R Documentation

Make Transform from a "FeatureNormalizer" Object

Description

Similar to other transform methods, this function transformed values from a fitted "FeatureNormalizer" object.

Usage

## S3 method for class 'FeatureNormalizer'
transform(model, data, key, features = NULL,
  thread.ratio = NULL, division.by.zero.handler = NULL)

Arguments

`model`	`R6Class object` A "FeatureNormalizer" Object.
`data`	`DataFrame` Data to be analyzed.
`key`	`character` Name of the ID column.
`features`	`list of characters, optional` Names of the feature columns. If features is not provided, it defaults to all non-ID columns.
`thread.ratio`	`double, optional` Controls the proportion of available threads to use. The value range is from 0 to 1, where 0 indicates a single thread, and 1 indicates up to all available threads. Values between 0 and 1 will use that percentage of available threads. Values outside this range are ignored. Does not affect transform(). Defaults to 0.
`division.by.zero.handler`	`logical, optional` If TRUE, Throws an error when encountering a division by zero. If FALSE, ignores the column when encountering a division by zero. The column is not scaled.

Value

Dataframe
Transformed variable values corresponding to each data point, structured as follows:

ID column, with same name and type as data's ID column.
Score columns, type DOUBLE, representing the component score values of each data point.

Examples

## Not run: 
 Input DataFrame data2 for transform:
 > data2$Collect()
     ID S_X1 S_X2
   1  0    6    9
   2  1    6    7
   3  2    4    4
   4  3    1    2
   5  4    9   -2

Perform transform() on the given data2 and "FeatureNormalizer" Object fn:

> result <- transform(fn, data = data2, key = "ID")

Output:

> result$Collect()
    ID        S_X1        S_X2
  1  0  0.00000000  0.03317536
  2  1  0.00000000 -0.06161137
  3  2 -0.06116208 -0.20379147
  4  3 -0.15290520 -0.29857820
  5  4  0.09174312 -0.48815166
  6  5 -0.06116208 -0.15639810


## End(Not run)