mllib

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.

Source: package.scala
See also: SPARK-4591 to track the progress of feature parity

Linear Supertypes

AnyRef, Any

Type Members

class JavaPackage extends AnyRef

Value Members

package classification
package clustering
package evaluation
package feature
package fpm
package linalg
package optimization
package pmml
package random
package rdd
package recommendation
package regression
package stat
package tree

This package contains the default implementation of the decision tree algorithm, which supports:
This package contains the default implementation of the decision tree algorithm, which supports:
- binary classification,
- regression,
- information loss calculation with entropy and Gini for classification and variance for regression,
- both continuous and categorical features.
package util

package mllib

Type Members

class JavaPackage extends AnyRef

Value Members

package classification

package clustering

package evaluation

package feature

package fpm

package linalg

package optimization

package pmml

package random

package rdd

package recommendation

package regression

package stat

package tree

package util

Inherited from AnyRef

Inherited from Any

Ungrouped