Make Predictions from a "Knn" Object

Description

Make Predictions from a "Knn" Object

Usage

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

Arguments

Value

Predicted values are returned as a DataFrame, structured as follows. result.df : DataFrame Predicted result, structured as follows:

• ID column, with same name and type as data's ID column.

• Label column, with same name and type as training data's label column.

nearest.neighbors.df : DataFrame The distance between each point in 'data' and its k nearest neighbors in the training set. Only returned if stat.info is TRUE.

• TEST_ + data's ID name, with same type as data's ID column, query data ID.

• K, type INTEGER, K number.

• TRAIN_ + training data's ID name, with same type as training data's ID column, neighbor point's ID.

• DISTANCE, type DOUBLE, distance.

See Also

hanaml.Knn

Examples

## Not run: 
Predict:
> res <- predict(knn, pred.df, "ID")
> res$Collect()
   ID  TYPE
0   0     3
1   1     3
2   2     3
3   3     1
4   4     1
5   5     1
6   6     1
7   7     1

## End(Not run)