Package

org.apache.spark

mllib

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package 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,

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

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Type Members

  1. class JavaPackage extends AnyRef

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Value Members

  1. package classification

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  2. package clustering

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  3. package evaluation

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  4. package feature

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  5. package fpm

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  6. package linalg

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  7. package optimization

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  8. package pmml

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  9. package random

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  10. package rdd

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  11. package recommendation

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  12. package regression

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  13. package stat

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  14. package tree

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    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.
  15. package util

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