R: Make Predictions from a "SOM" Object

predict.SOM {hana.ml.r}

R Documentation

Make Predictions from a "SOM" Object

Description

Similar to other predict methods, this function predicts fitted values from a fitted "SOM" object.

Usage

## S3 method for class 'SOM'
predict(model, data, key, features = NULL, ...)

Arguments

`model`	`R6Class object` A "SOM" object for prediction.
`data`	`DataFrame` data for prediction.
`key`	`character` Name of the ID column.
`features`	`character or list of characters, optional` Names of the feature columns. If is not provided, it defaults to all non-ID columns.

Value

Predicted 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 weight vector.

Examples

 ## Not run: 
 #'Perform the predict on DataFrame data2 using "som" object dbscan:

 > data2$Collect()
         TRANS_ID  V000  V001
      1         0  0.10  0.20
      2         1  0.22  0.25
      3         2  0.30  0.40
      4         3  0.40  0.50
      5         4  0.50  1.00
      ...
      18       17 50.20 48.30
      19       18 55.30 50.40
      20       19 50.40 56.50

 > fitted <- predict(model = som, data = data2)
 > fitted$Collect()
   TRANS_ID CLUSTER_ID     DISTANCE
   1         0         15 3.425638e-01
   2         1         15 2.396760e-01
   3         2         15 7.396834e-02
   4         3         15 9.763190e-02
   5         4         15 5.609020e-01
  ...
   18       17          1 9.465344e-01
   19       18          0 3.931820e+00
   20       19          0 3.892501e+00

## End(Not run)