org.apache.spark.mllib

recommendation

package recommendation

Visibility
  1. Public
  2. All

Type Members

  1. class ALS extends Serializable with Logging

    Alternating Least Squares matrix factorization.

  2. class MatrixFactorizationModel extends Serializable with Logging

    Model representing the result of matrix factorization.

  3. case class Rating(user: Int, product: Int, rating: Double) extends Product with Serializable

    :: Experimental :: A more compact class to represent a rating than Tuple3[Int, Int, Double].

Value Members

  1. object ALS extends Serializable

    Top-level methods for calling Alternating Least Squares (ALS) matrix factorization.

Ungrouped