R: Make transformation from a "Imputer" Object

transform.Imputer {hana.ml.r}

R Documentation

Make transformation from a "Imputer" Object

Description

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

Usage

## S3 method for class 'Imputer'
transform(model, data, key = NULL,
  thread.ratio = NULL)

Arguments

`model`	`R6Class object` "Imputer" object for transformation.
`data`	`DataFrame` Data for transformation.
`key`	`character, optional` Name of the ID column in data that specifies the dependent variable.
`thread.ratio`	`integer, 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 up to that percentage of available threads. Values outside this range tell PAL to heuristically determine the number of threads to use. The following parameters all have pre-fix 'als\_', and are invoked only when als' is the overall imputation strategy. Those parameters are for setting up the alternating-least-square(ALS) mdoel for data imputation. Defaults to 0.0.

Value

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

DataFrame 1 :
Result DataFrame. The same column structure (number of columns, column names, and column types) with the table with which the model is trained.
DataFrame 2 : DataFrame
Statistics DataFrame.

Examples

## Not run: 
Perform the transform on DataFrame data2 using "imputer" object ip:

> data2$Collect()
  ID V0   V1   V2    V3    V4   V5
1  0 20    1    B   NULL  1.5  21.7
2  1 40    1 <NULL>  0.6  1.2  24.3
3  2 NULL  0    D   NULL  1.8  22.6
4  3 50  NULL   C   0.7   1.1  NULL
5  4 20    1    A   0.3   NULL 20.6

> result <- transform(ip, data2)

> result[[1]]$Collect()
 ID V0 V1 V2        V3       V4       V5
1  0 20  1  B 0.5076923 1.500000 21.70000
2  1 40  1  A 0.6000000 1.200000 24.30000
3  2 24  0  D 0.5076923 1.800000 22.60000
4  3 50  0  C 0.7000000 1.100000 20.64615
5  4 20  1  A 0.3000000 1.469231 20.60000

## End(Not run)