R: Make transform from a "Discretize" Object

transform.Discretize {hana.ml.r}

R Documentation

Make transform from a "Discretize" Object

Description

Similar to other transform methods, this function transforms fitted values from a fitted "Kmeans" object.

Usage

## S3 method for class 'Discretize'
transform(model, data, key, features = NULL)

Arguments

`model`	`R6Class object` "Discretize" Object.
`data`	`DataFrame` data for transformation.
`key`	`character` Name of the ID column in data that specifies the dependent variable.
`features`	`list of character, optional` Names of the feature columns. If features is not provided, it defaults to all non-ID columns.

Value

Transformed values are returned as a DataFrame, structured as follows.

ID column, with same name and type as data 's ID column.
Cluster_ID, type INTEGER, the assigned cluster ID.
DISTANCE, type DOUBLE, Distance between a given point and the cluster center.

Examples

## Not run: 
#'Perform the transform on DataFrame data2 using "Discretize" object discretize:

> data2$Collect()
     ID ATT1 ATT2 ATT3 ATT4
  1  1 20.0  120    1    A
  2  2 30.0  101    1    A
  3  3 10.7  143    1    B
  4  4 15.8  256    1    C
  5  5 88.9  100    1    A
  6  6 76.5  402    4    A
  7  7 55.3  905    4    B

> result <- transform(discretize, discretize.df.apply, key = "ID",
                     features = list("ATT1", "ATT2", "ATT3", "ATT4"))

> result[[1]]$Collect()
   ID ATT1  ATT2 ATT3 ATT4
1  1 10.2 100.8    1    A
2  2 10.2 100.8    1    A
3  3 10.2 100.8    1    B
4  4 10.2 100.8    1    C
5  5 90.2 900.8    1    A
6  6 90.2 900.8    4    A
7  7 40.2 400.8    4    B

## End(Not run)