R: Make Predictions from a GaussianMixture Object

predict.GaussianMixture {hana.ml.r}

R Documentation

Make Predictions from a GaussianMixture Object

Description

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

Usage

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

Arguments

`model`	`R6Class object` A 'GaussianMixture' 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 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.
PROBABILITY, type DOUBLE, Probability that the instance belong to a particular cluster.

Examples

## Not run: 
#'Perform the predict on DataFrame data2 using "GaussianMixture" objectc gmm:

> data2$Collect()
 ID  X1   X2   X3
 0  0.10  0.10  1
 1  0.11  0.10  1
 2  0.10  0.11  1
 3  0.11  0.11  1
 4  0.12  0.11  1

> fitted <- predict(model = gmm, data = data2)
> fitted$Collect()
      ID  CLUSTER_ID  PROBABILITY
       0     0            1
       1     0            1
       2     0            0
       3     0            0
       4     0            0
       0     1            0
       1     1            0
       2     1            1
       3     1            1
       4     1            1

## End(Not run)