Packages

  • package root
    Definition Classes
    root
  • package org
    Definition Classes
    root
  • package apache
    Definition Classes
    org
  • package spark
    Definition Classes
    apache
  • package mllib

    RDD-based machine learning APIs (in maintenance mode).

    RDD-based machine learning APIs (in maintenance mode).

    The spark.mllib package is in maintenance mode as of the Spark 2.0.0 release to encourage migration to the DataFrame-based APIs under the org.apache.spark.ml package. While in maintenance mode,

    • no new features in the RDD-based spark.mllib package will be accepted, unless they block implementing new features in the DataFrame-based spark.ml package;
    • bug fixes in the RDD-based APIs will still be accepted.

    The developers will continue adding more features to the DataFrame-based APIs in the 2.x series to reach feature parity with the RDD-based APIs. And once we reach feature parity, this package will be deprecated.

    Definition Classes
    spark
    See also

    SPARK-4591 to track the progress of feature parity

  • package linalg
    Definition Classes
    mllib
  • package distributed
    Definition Classes
    linalg
  • BlockMatrix
  • CoordinateMatrix
  • DistributedMatrix
  • IndexedRow
  • IndexedRowMatrix
  • MatrixEntry
  • RowMatrix

package distributed

Ordering
  1. Alphabetic
Visibility
  1. Public
  2. Protected

Type Members

  1. class BlockMatrix extends DistributedMatrix with Logging

    Represents a distributed matrix in blocks of local matrices.

    Represents a distributed matrix in blocks of local matrices.

    Annotations
    @Since("1.3.0")
  2. class CoordinateMatrix extends DistributedMatrix

    Represents a matrix in coordinate format.

    Represents a matrix in coordinate format.

    Annotations
    @Since("1.0.0")
  3. trait DistributedMatrix extends Serializable

    Represents a distributively stored matrix backed by one or more RDDs.

    Represents a distributively stored matrix backed by one or more RDDs.

    Annotations
    @Since("1.0.0")
  4. case class IndexedRow(index: Long, vector: Vector) extends Product with Serializable

    Represents a row of org.apache.spark.mllib.linalg.distributed.IndexedRowMatrix.

    Annotations
    @Since("1.0.0")
  5. class IndexedRowMatrix extends DistributedMatrix

    Represents a row-oriented org.apache.spark.mllib.linalg.distributed.DistributedMatrix with indexed rows.

    Represents a row-oriented org.apache.spark.mllib.linalg.distributed.DistributedMatrix with indexed rows.

    Annotations
    @Since("1.0.0")
  6. case class MatrixEntry(i: Long, j: Long, value: Double) extends Product with Serializable

    Represents an entry in a distributed matrix.

    Represents an entry in a distributed matrix.

    i

    row index

    j

    column index

    value

    value of the entry

    Annotations
    @Since("1.0.0")
  7. class RowMatrix extends DistributedMatrix with Logging

    Represents a row-oriented distributed Matrix with no meaningful row indices.

    Represents a row-oriented distributed Matrix with no meaningful row indices.

    Annotations
    @Since("1.0.0")

Value Members

  1. object RowMatrix extends Serializable
    Annotations
    @Since("1.0.0")

Ungrouped