Make Predictions from a GaussianMixture Object

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

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

Arguments

model	R6Class object A 'GaussianMixture' object for prediction.
data	DataFrame DataFrame containting the data.
key	character Name of the ID column.
features	character of list of characters, optional Name of feature columns for prediction. If not provided, it defaults to all non-key columns of data.
...	Reserved parameter.

Format

S3 methods

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

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)

Output:

> fitted$Collect()
     ID  CLUSTER_ID  PROBABILITY
1     0           0            1
2     1           0            1
3     2           0            0
4     3           0            0
5     4           0            0
6     0           1            0
7     1           1            0
8     2           1            1
9     3           1            1
10    4           1            1

See also

hanaml.GaussianMixture