The AsFactor preprocessor is used to turn the integer values of the columns into sparse vectors where the value is 1 at the index that corresponds to the ‘category’ of that column. This is also known as “One Hot Encoding” in many other packages.

### Parameters

AsFactor takes no parameters.

### Example

import org.apache.mahout.math.algorithms.preprocessing.AsFactor

val A = drmParallelize(dense(
(3, 2, 1, 2),
(0, 0, 0, 0),
(1, 1, 1, 1)), numPartitions = 2)

// 0 -> 2, 3 -> 5, 6 -> 9
val factorizer: AsFactorModel = new AsFactor().fit(A)

val factoredA = factorizer.transform(A)